Development-Lifecycle-and-Deployment-Architect Exam Dumps - Salesforce Certified Development Lifecycle and Deployment Architect (SP23)

A single-org strategy is the best option for UC, as it will enable them to achieve business process standardization among all business units, which is the main goal of the CEO. A multi-org strategy would make it harder to enforce consistent processes and policies across the different business units, and would also increase the costs and complexity of managing multiple orgs. A common managed package could help with some aspects of standardization, but it would not cover all the possible scenarios and customizations that UC might need.

 Using a Developer Edition org to stage changes to their Customer Community poses the following risks:

• Developer Edition orgs have limited user counts and low data volume limits, which will make User Testing difficult, as the testing environment will not be representative of the production environment.
• Developer Edition orgs cannot have sandboxes, which will make team development difficult, as the developers will not be able to work in isolated environments and test their changes before merging them.
• Changes Sets cannot be used to deploy from Developer Edition to Production, which will make deployment more complex, as the developers will have to use other tools such as Ant Migration Tool or SFDX CLI to deploy their changes.

The sandbox types that the architect should recommend for batch data testing are Partial Copy sandbox and Full sandbox. These sandbox types allow the testing of large data sets that are similar to the production data. Developer Pro sandbox and Developer sandbox have limited storage and may not be able to accommodate the data needed for the batch data testing.

 B and D are the decisions that should be made by an Architecture Review Board (ARB), as they involve choosing the best methodology and authentication mechanism for the project, which have significant impacts on the project scope, quality, and security. A is not a decision that should be made by an ARB, as it is a low-level design decision that can be made by the developers or technical leads. C is not a decision that should be made by an ARB, as it is a testing decision that can be made by the testers or quality assurance leads.

QUESTIONNO: 87

What is the process used to initiate a connection for change sets?

A. Modify the source org to allow an outbound connection to the target org

B. Modify the target org to accept an outbound connection from the source org

C. Modify the target org to accept an inbound connection from the source org

D. Modify the source org to allow an inbound connection to the target org

Answer: A

A is the correct answer, as the process to initiate a connection for change sets is to modify the source org to allow an outbound connection to the target org. B and C are incorrect, as the target org does not need to accept any connection from the source org, but only to deploy the inbound change sets that are sent from the source org. D is incorrect, as the source org does not need to allow any inbound connection to the target org, but only to create and upload the outbound change sets to the target org. You can learn more about this process in the Change Sets Basics module on Trailhead.

 D is the correct answer, as the risk with this plan is that multiple work-streams with dependencies could impact the go-live. If the legacy system upgrade and the new integration are not aligned and coordinated, there could be delays, errors, or failures in the project delivery. A is incorrect, as the deadline being scheduled during a Salesforce release is not a risk, but an opportunity to leverage the new features and enhancements that Salesforce provides. B is incorrect, as the project team using the Waterfall methodology is not a risk, but a choice that depends on the project scope, complexity, and requirements. C is incorrect, as the legacy system team using an Agile methodology is not a risk, but a choice that depends on the project scope, complexity, and requirements. You can learn more about the risk management in the Project Management Strategies for Salesforce Implementations module on Trailhead.

Two testing types that an architect should recommend to ensure users don’t face platform slowdowns during peak business hours are: stress testing and performance testing. Stress testing is the process of testing the system under extreme load conditions, such as a large number of concurrent requests, to determine its breaking point and identify any potential bottlenecks or failures. Performance testing is the process of testing the system under normal or expected load conditions, such as the average number of requests per day, to measure its response time, throughput, and resource utilization. These testing types can help ensure that the web service can handle the expected volume and frequency of requests, and that it meets the performance and reliability requirements. Unit testing is not a testing type that an architect should recommend for this scenario, as it is the process of testing individual units of code, such as methods or classes, to verify their functionality and logic. Load testing is also not a testing type that an architect should recommend for this scenario, as it is the process of testing the system under a specific load condition, such as a fixed number of requests, to evaluate its behavior and performance. See Testing RESTful Web Services for more details.

The architect should recommend creating two second generation managed packages with the same namespace and setting the methods that should be shared with the @namespaceAccessible annotation. This will allow the Sales team to access the specific functions of the Service product without exposing them to other teams or customers. Creating two managed packages with different namespaces will not allow the Sales team to access the Service functions, unless they are declared as global, which will expose them to everyone. Creating a managed package with both products will not allow the separation of the products and the control of the functions. Creating an authentication function in the Service package will add unnecessary complexity and overhead to the solution.

The first step in establishing a governance framework is to identify the relevant stakeholders from within the organization to obtain their goals and objectives. This will help to define the scope, roles, responsibilities, and processes for managing the Salesforce initiatives. The other options are possible steps to take later, but not the first one.

The best strategy to delete the day’s test data in a partial copy sandbox every night is to execute a batch job that deletes all records created on the day. This way, you can automate the process of cleaning up the test data and avoid manual work. Manually deleting all records individually is time-consuming and error-prone. Creating a new developer copy sandbox every night is unnecessary and wasteful, as developer copy sandboxes have limited storage and functionality. Refreshing the sandbox every night is also not feasible, as partial copy sandboxes have a refresh interval of 5 days.

A requirement traceability matrix is a project artifact that maps each requirement to its corresponding test cases, ensuring that all requirements are covered by testing. User acceptance test scripts are the actual steps to execute the test cases, not the artifact that links them to the requirements. Testing strategy and test execution plan are high-level documents that describe the overall approach and schedule for testing, not the specific mapping of requirements and test cases.

 Design standards can help ensure consistency and quality of the code and configuration across multiple project teams. They can also prevent design conflicts and reduce technical debt.

The most challenging factor to consider in merging the two Salesforce.com orgs into a single org is the customer data, as it may contain duplicates, inconsistencies, and conflicts. Option D suggests using standardization and de-duplication tools to merge the customer data, which is a reasonable approach. Option A is not true, as transactional sales data may have different formats, fields, and values in the two orgs. Option B is not necessary, as salespersons selling both product lines can use a single login in the merged org. Option C is not true, as business processes on standard objects may have different workflows, validation rules, and triggers in the two orgs.

The advice that a technical architect should provide in a Change Advisory Board meeting is troubleshooting strategies for deployment issues. This is because the Change Advisory Board is responsible for reviewing and approving changes to the IT environment, and the technical architect should provide guidance on how to resolve any potential problems that may arise during the deployment process1. The other options are not relevant for the Change Advisory Board meeting, as they are more related to the requirements analysis, design, or testing phases of the development lifecycle.

 Sandboxes should be refreshed based on the needs of the project and the development lifecycle. Production is the only pristine environment, so it is a good practice to refresh sandboxes from production regularly to ensure data and metadata consistency. Integration sandboxes should be refreshed frequently, not rarely, to avoid conflicts and errors when integrating code from multiple developers. Development environments should generally be refreshed after each working feature has been successfully migrated, to avoid accumulating unnecessary changes and to start fresh for the next feature.

 DevPro1 cannot be cloned because it is on a different version from Production, as it was upgraded to preview for the next Salesforce major release two weeks ago. Therefore, the architect should recommend creating a new DevPro2, and migrating metadata from DevPro1. This way, the second work stream can work on the Service Cloud requirements in a separate sandbox, without affecting the Sales Cloud dev team. Asking the second work stream team to work on the same DevPro1 sandbox would create conflicts and dependencies between the two teams, and would not allow them to release at different times. Pushing back on the requirements because adding another work stream will bring some risks with it would not be a good option, as the business needs might be urgent and important.

A virtual Kanban board tool is a good way to increase transparency and collaboration among agile development teams, as it allows them to visualize their work, track their progress, and identify any bottlenecks or issues. A daily stand-up meeting, a daily email, or a shared spreadsheet are not as effective or efficient as a Kanban board tool.

The architect should recommend using Git to create a release branch from the develop branch. All fixes must be made in the release branch. After deployment, merge release with develop. This strategy allows the team to isolate the changes that are ready for deployment from the changes that are still in progress. It also ensures that the fixes are applied to both the release and the develop branches. The other options do not follow the best practices of Git branching and merging.

Three areas that should be tested as part of data migration are: data transformation against source system, contact association with correct account, and account and lead ownership. These areas can help ensure that the data is migrated correctly and accurately, and that the relationships and ownership are preserved. Lead assignment is not an area that should be tested as part of data migration, as it is a business process that is triggered after the data is migrated. Page layout assignments is also not an area that should be tested as part of data migration, as it is a configuration setting that is independent of the data. See Data Migration for more details.

The most probable reason why none of the sandboxes can be refreshed is that the org has reached the maximum number of active sandboxes allowed by the license. Deleting the full sandbox used for performance testing will free up one sandbox slot and allow the other sandboxes to be refreshed. The Partial Copy sandbox is not the cause of the problem, as it counts as one sandbox slot. Creating a Salesforce support case or contacting the Salesforce Account Team may not resolve the issue in a timely manner.

The fastest approach to spin off a sandbox with up to 10,000 records in each object for testing the integration performance is to spin off a partial copy sandbox using a sandbox template with all the objects required for testing the integration. A partial copy sandbox can copy up to 10,000 records per object using a sandbox template that specifies the objects and fields to copy. A partial copy sandbox can also copy the metadata and the configuration settings from the production org. A developer pro sandbox, a development sandbox, or a full copy sandbox may not be able to copy enough data for testing the integration performance, as they have lower data storage limits. A developer pro sandbox and a development sandbox can only copy 1 GB of data, while a full copy sandbox can only copy 5 GB of data. A full copy sandbox may also take longer to spin-off, as it copies all the data and metadata from the production org.

 A single org strategy has the benefits of increased ability to collaborate, centralized data location, and consistent processes across the business. These factors can improve efficiency, data quality, and user adoption. A single org strategy may not allow for tailored implementation or fewer inter-dependencies, as different business units may have different requirements and dependencies.

The architect should recommend that UC start a citizen development program to minimize additional costs and allow UC to accomplish more from the backlog. A citizen development program is a way of empowering non-technical users to create and deploy simple applications using low-code or no-code tools, such as Salesforce Platform. This can help UC leverage the skills and knowledge of their existing workforce, reduce the workload of the development team, and deliver value faster to the business.

To ensure that bugs found in production are more easily analyzed in the full sandbox, the architect should recommend to refresh the full sandbox after every deployment in production, and to perform the same process in the sandbox before any deployment in production. This way, the full sandbox will be in sync with the production org and will have the same metadata and code. Creating a daily process of copying new and changed data in production to the full sandbox is not necessary, as the full sandbox already has a copy of the production data. Performing a Refresh Data in the full sandbox is not possible, as this option is only available for partial copy and developer pro sandboxes.

The development model that the architect should recommend to be used by the consolidated development team is the package development model. This model allows teams to build release artifacts that can be tested and released independently from artifacts for other projects, using unlocked packages or second-generation managed packages. This model can help improve the modularity, reusability, and maintainability of the code and configuration, as well as enable source-driven development and continuous integration and delivery. The org development model is not a good choice for the consolidated development team, as it is based on working directly in an org and using change sets or metadata API tools to deploy changes. This model can lead to conflicts, dependencies, and governance issues, especially when working on multiple projects or with multiple teams. The change set development model is also not a good choice for the consolidated development team, as it is based on using change sets to deploy changes between connected orgs. This model can be slow, error-prone, and limited, as it does not support all metadata types, dependencies, or automation. The package development model does not allow packages to be created and deployed using declarative (point-and-click) development tools, without writing code. This is a wrong statement, as the package development model supports both declarative and programmatic development tools, and requires writing code to create and install packages using the Salesforce CLI or APIs. See Package Development Model for more details.

The best strategy to delete the day’s test data in a partial copy sandbox every night is to execute a batch job that deletes all records created on the day. This way, you can automate the process of cleaning up the test data and avoid manual work. Manually deleting all records individually is time-consuming and error-prone. Creating a new developer copy sandbox every night is unnecessary and wasteful, as developer copy sandboxes have limited storage and functionality. Refreshing the sandbox every night is also not feasible, as partial copy sandboxes have a refresh interval of 5 days.

Managed package is the recommended mechanism for releasing an application that can be installed in other Salesforce environments. Managed packages allow for versioning, licensing, and upgradeability of the application. They also protect the intellectual property of the developer by hiding the source code of the Apex classes and Visualforce pages.

The org development model is a traditional approach that uses sandboxes as the primary development environments. It relies on tools such as change sets, the Ant Migration Tool, or the Metadata API to deploy changes between orgs. One of the benefits of this model is that it allows automated deployment, meaning that the deployment process can be scripted and executed without manual intervention. This can save time and reduce errors. Another benefit of this model is that it allows automated sandbox provisioning, meaning that the creation and configuration of sandboxes can be done programmatically using the Sandbox API or the Salesforce CLI. This can help maintain consistency and alignment across different environments. Automated defect fixing and automated change tracking are not characteristics of the org development model, but rather of the package development model, which uses source code as the source of truth and supports source tracking and automated testing.

The evidence that can support the CTO’s claims is a burndown chart showing the team misses their forecast sprint after sprint. This indicates that the team is overcommitting and not able to deliver the work they planned. The definition of done, the Kanban board, and the burndown chart showing the team finishes early are not relevant to the CTO’s claims, as they do not reflect the actual progress and performance of the team.

 To support application lifecycle methodology, you need tools that can help you manage the source code, automate the deployment process, and track the issues and bugs. A version control repository is a tool that allows you to store, track, and collaborate on the source code of your application. A continuous integration tool is a tool that allows you to automate the deployment of your code to different environments, as well as run tests and validations. An issue tracking tool is a tool that allows you to record, monitor, and resolve the issues and bugs that arise during the development and testing phases. A database management system is a tool that allows you to store, manipulate, and query data, but it is not directly related to application lifecycle methodology. A middleware is a software layer that facilitates communication and data exchange between different applications, but it is not directly related to application lifecycle methodology either.

 Agile development methodology allows for frequent and incremental releases of functional code, which enables stakeholders to provide feedback and validate the requirements. Agile development methodology also embraces changes in the project requirements as the business needs evolve, and adapts to them accordingly.

The Scrum value that is compromised by this bad practice is courage, because the teams should be transparent about progress and speak up when they need help. Courage is one of the five core values of Scrum, and it means that the team members have the courage to do the right thing and work on tough problems. By not updating the status of their work in progress, the team is hiding potential issues and risks, and not being honest with themselves and others.

 Fixing the issue in hotfix, testing, and deploying to production is the best option when UC has PI issues and has to be fixed immediately. A hotfix sandbox is a type of sandbox that is used for emergency fixes in production. It is a copy of the production org and has a shorter refresh interval than other sandboxes. A hotfix sandbox allows the team to quickly fix and test the issue without affecting the ongoing development and release cycles.

The best approaches for UC to consider are B and C, as they both involve agile methodologies that can accommodate changing requirements and deliver value to the end users in an iterative and collaborative way. Option B is a good approach, as it allows UC to scope and estimate the project, identify the minimum viable product, and co-create the design with the project stakeholders using a product backlog and sprints2. Option C is also a good approach, as it allows UC to gather the remaining requirements and complete the architecture and design, then initiate the build/test processes with frequent reviews by the stakeholders, and perform acceptance testing and validate compliance with regulatory requirements3. Option A is not a good approach, as it involves a waterfall project that is rigid and sequential, and may result in re-work and delays if the requirements change or conflict4. Option D is not a realistic approach, as it assumes that budget and timeline will not be a factor with an agile methodology, which is not true, as agile projects still need to have clear scope, budget, and timeline constraints

 To reduce defects, the architect should recommend increasing the code coverage to 95% and adding more details to the acceptance criteria. Increasing the code coverage can help ensure that the code is thoroughly tested and meets the quality standards. Adding more details to the acceptance criteria can help clarify the requirements and expectations for the functionality. Using the test script to define the test classes or having the test analyst create the test classes are not good practices, as they can introduce errors and inconsistencies in the testing process.

The advantages of the package development model are improving team development and collaboration, facilitating automated testing and continuous integration, and significantly reducing the need for manually tracking changes. The package development model allows the developers to work on modular and reusable components that can be easily tested and deployed. The package development model does not eliminate the need of using change sets, as they can still be used for deploying non-packaged components or metadata. The package development model does not provide its own source control, but rather relies on external source control systems such as Git.

Two advantages of automated test data loads over manual data loads are that automated loads can be done with no human oversight and that automated loads are reliable in their results. Automated loads can be scheduled and executed without human intervention, which saves time and effort. Automated loads can also ensure that the data is consistent and accurate, which reduces errors and risks. Automated loads do not necessarily increase costs, as they can also save money in the long run by improving efficiency and quality. Automated loads can also be scripted by CICD tools, which is one of the benefits of using them.

A, C, and E are the correct answers, as Force.com Migration Tool, Source Control Tool, and Continuous Integration Build Tool are the tools that should be used to enable a continuous integration process to help manage code quality. A continuous integration process is a practice that involves merging code changes from multiple developers into a common repository, and then testing and validating them automatically, before deploying them to the target environment. Force.com Migration Tool is a tool that uses the Metadata API to retrieve and deploy metadata components, such as code, from one org to another. Source Control Tool is a tool that manages the versions and changes of the code, and allows for collaboration and integration among the developers. Continuous Integration Build Tool is a tool that automates the testing and deployment of the code, and ensures that the code meets the quality and functionality standards. B is incorrect, as Full Sandbox Environment is not a tool that should be used to enable a continuous integration process, as it is a copy of a production org that is used for development and testing purposes, but not for merging, testing, or deploying code changes. D is incorrect, as Project Management Tool is not a tool that should be used to enable a continuous integration process, as it is a tool that helps to plan, organize, and track the progress of the project, but not to manage, test, or deploy code changes. You can learn more about these tools in the Continuous Integration and Continuous Delivery module on Trailhead.

According to the [Salesforce Performance Testing Guide], performance tests must be run in a sandbox, a business justification must be provided to Salesforce, and performance tests may be run without advanced notice, but Salesforce will not store performance logs. Salesforce does not need to be informed 7 days before starting performance tests, and Salesforce will not monitor test activity to ensure there are no issues with Salesforce Services.

Allowing no code/configuration changes directly in the production org and using Metadata API to automate deployment to the production org are two options that will streamline the process. These options help to enforce a consistent and controlled deployment process that avoids manual errors and conflicts in the production org.

Creating transparency by being honest and clear about timing, planning, and obstacles is one of the Scrum principles, as it helps to build trust and collaboration among the team and the stakeholders. Delivering working software is also a Scrum principle, but it does not mean that the software should not be changed if it is working. Respect is another Scrum principle, but it does not imply that a developer should not test the software, as testing is part of the development process. Embracing change is also a Scrum principle, but it does not mean that the scope should change every day, as that would make it impossible to deliver value and quality.

This is the correct answer because a partial copy sandbox can provide a subset of production data that is refreshed every 5 days. This way, the user acceptance and functional teams can test independently in isolation, and on current production data that was modified within the last week. A developer pro sandbox has a limited data storage and cannot store enough data for testing. A developer sandbox has no data and is only suitable for development and testing of code. A full sandbox can provide a complete copy of production data, but it can only be refreshed every 29 days, which may not meet the requirement of testing on data that was modified within the last week.

The best way to stop the rollbacks from happening is to ensure report metadata is exported daily and that it is merged into the developer branches before the next release. This way, the reports and dashboards will be up to date and consistent across all environments. Using a third-party data warehouse is not a solution, as it does not address the root cause of the rollbacks. Removing the executive’s ability to change reports is not a good practice, as it limits their flexibility and autonomy. Backing up and reimporting the reports before and after the release is not a reliable or scalable solution, as it can introduce errors and inconsistencies.

B and D are the correct answers, as partner developer edition orgs and developer edition orgs are the appropriate environments for creating a managed package. A managed package is a collection of application components that are locked and versioned, and can be installed and upgraded in multiple orgs. A is incorrect, as developer pro sandbox orgs are not suitable for creating a managed package, as they are copies of a production org that are used for development and testing purposes. C is incorrect, as production orgs with LMA are not suitable for creating a managed package, as they are used for managing the licenses and subscribers of a managed package. You can learn more about this topic in the Package Development Model module on Trailhead.

 Executing all test classes in sandboxes can help identify and fix any errors or failures before deploying to production. Executing selected test classes in production can help reduce the deployment time and avoid running unnecessary tests.

Refreshing a sandbox during the release preview window to ensure they have the upcoming release is a step that the team at UC should take to prepare for the new Salesforce release, as it allows them to test their application in an environment that matches the production environment after the upgrade. Running regression tests in an upgraded sandbox to detect any issues with the upgrade is also a step that the team at UC should take to prepare for the new Salesforce release, as it helps them to verify that the existing functionality is not affected by the new features or changes introduced by the upgrade. Reviewing the release notes for automatically-enabled features and technical debt is also a step that the team at UC should take to prepare for the new Salesforce release, as it helps them to understand the impact and benefits of the new features or changes, as well as to identify and resolve any technical debt that may cause issues or conflicts with the upgrade. Contacting Salesforce to schedule a time to upgrade the full sandbox is not a step that the team at UC should take to prepare for the new Salesforce release, as it is not possible to request a specific time for the upgrade of the full sandbox, which is determined by Salesforce and depends on the release window and the pod assignment. Upgrading any SOAP integrations to the newest WSDL as early as possible is not a step that the team at UC should take to prepare for the new Salesforce release, as it is not necessary to upgrade the SOAP integrations to the newest WSDL, unless they want to use the new features or fields introduced by the upgrade. The SOAP integrations will continue to work with the previous WSDL versions, as they are backward compatible.

The product team should review the Checkmarx errors and determine if they need to fix them or not. If the errors are false positives, meaning that they do not indicate a real security issue, the product team should mark them as such and attach an explanation, then submit the security review. This will help the Salesforce security review team to understand the rationale behind the code and avoid unnecessary rejections. The product team should not leave the errors to the Salesforce security review team, as they may reject the request if they find any potential security issue. The product team should not leave a partner support case, as this is not the proper channel for resolving code issues. The product team should not fix all the errors before submitting the security review, as some of them may not be relevant or critical, and fixing them may introduce new bugs or delays.

Apex CPU limits and HTTP response size are two limitations that an architect should consider when designing a strategy for managing technical reference data, with multiple related objects. Apex CPU limits may be exceeded if the data retrieval or manipulation logic is complex or inefficient. HTTP response size may be too large if the data payload contains many related objects or fields. Circular relationships and depth of nested relationships are not limitations, but design considerations that may affect the data model and query performance.

Waterfall development methodology has some positive aspects, such as:

• Complex processes that will need to be built are thoroughly understood and documented before coding begins, which can reduce the risk of ambiguity and rework.
• Milestones, timelines and estimates tend to be more accurate and predictable due to the upfront due diligence, which can help with project management and stakeholder expectations.

Change Sets are a manual way of deploying metadata components between orgs that are affiliated with the same production org. Change Sets cannot be automated, rolled back, or reused between production Salesforce orgs. Change Sets can be validated before deployment, and they can be used for orgs affiliated with the same production org.

 Creating a release calendar, training and aligning all the teams is the best way to avoid conflicts and ensure smooth releases between major, minor, and Salesforce seasonal releases. A release calendar can help the teams plan ahead, coordinate their efforts, and avoid overlapping or conflicting changes. Training and aligning the teams can help them understand the release processes, the best practices, and the expectations for each release type. Gating all release decisions at the center of excellence, sharing the test plans, or creating a spreadsheet of metadata changes are not sufficient or scalable solutions for this problem.

To reduce deployment time, UC can use the following strategies:

• Use recent deployment validations and the quick deploy feature, which can allow them to skip the validation step in production and deploy the changes faster, if they have already validated the changes in a sandbox within the last four days.
• Specify the test to run by using RunSpecifiedTests test level, which can allow them to run only the tests that are relevant to the components being deployed, instead of running all the tests in the org.

 Cross-site scripting is the most common reason that the prospect AppExchange products fail the security review. Cross-site scripting (XSS) is a type of web application vulnerability that allows an attacker to inject malicious code into a web page that is viewed by other users. XSS can compromise the security and privacy of the users, as well as the functionality and performance of the application. Salesforce has strict security standards and policies for AppExchange products, and any product that has XSS vulnerabilities will not pass the security review. CRUD/FLS, session hacking, and SOQL injection are also security issues that can affect AppExchange products, but they are not as common or severe as XSS.

 Two options that should be considered when making production changes in a highly regulated and audited environment are: all changes including hotfixes should be reviewed against security principles, and any production change should have explicit stakeholder approval. These options can help ensure that the changes are compliant with the regulations and have the necessary authorization and documentation. No manual steps should be carried out is not a valid option, as some changes may require manual steps, such as data migration or post-deployment verification. After deployment, the development team should test and verify functionality in production is also not a valid option, as testing and verification should be done in a lower environment before deploying to production, and the responsibility of testing and verifying functionality in production should be assigned to a different team than the development team. See Application Lifecycle and Deployment for more details.

The best option is to send a package.xml file with associated metadata in a .zip file to the Release Management team, as this will allow them to use the Metadata API to deploy the components to the production org. Option A is not feasible, as change sets cannot be downloaded from sandboxes. Option B is not sufficient, as the readMetadata call only retrieves the metadata information, not the actual components. Option C is not reliable, as the audit trail may not capture all the changes made in the sandbox.

 In the change set model, the source of truth is a combination of the metadata already in the environment and the content of your change set, as you stated correctly. However, a change set cannot be retrieved from the developer’s workbench as a package, nor can it be pushed into the version control system. Change sets are only available within the Salesforce UI, and they are not compatible with version control systems. In the package development model, the source of truth is the metadata in the package project, which makes it easy to integrate to a version control system, as you stated correctly. Additionally, in the package development model, the best practice is to consider the dependencies and build them into the package so it can be deployed in any other target orgs. This ensures that the package is self-contained and does not rely on external components that may not exist in the target org.

The recommended strategy for deploying a large volume of metadata is to identify metadata dependencies, create logical groupings, and deploy in the right order. This can help avoid errors and ensure a smooth deployment process.

The Tooling API is the best choice for the team that wants to use SOQL queries to retrieve and make changes to smaller pieces of Salesforce metadata through their Java application. The Tooling API provides access to metadata objects such as Apex classes, triggers, workflows, validation rules, custom objects, and fields. It also supports CRUD operations, as well as executing anonymous Apex code. The other APIs are not suitable for this use case, as they either deal with larger metadata components (Metadata API), user interface components (User Interface API), or data records (Any Salesforce API).

Aura accessibility tests can be called in JSTEST and WebDriver Test environments. JSTEST is a JavaScript testing framework that runs on Node.js and can be used to test Aura components. WebDriver Test is a Selenium-based testing framework that can be used to test the user interface and accessibility of Aura components. ACCTEST and AuraDriver Test are not valid environments for calling Aura accessibility tests.

 A Requirements Traceability Matrix is a document that links requirements to their sources and test cases, as well as the components that implement them. By using this artifact, a developer can easily find the purpose of an Apex class and the requirement it fulfills.

 The best release strategy for creating a new report to support an urgent client request is to utilize the daily release process. The daily release process is designed for small and quick changes that do not require extensive testing or approval. The daily release process can create the report directly in a full sandbox and then deploy it to production. The major and minor release processes are more suitable for large and complex changes that require more testing and approval. The major and minor release processes should not create the report directly in production, as this may cause errors or conflicts.

The most important factor to consider before recommending Performance testing is the number of concurrent transactions, as this will affect the response time and throughput of the system. Option A is not relevant, as unit tests are used to verify the functionality and quality of the code, not the performance. Option B is not related, as Apex Hammer failures are used to check the compatibility of the code with new platform releases, not the performance. Option C is not helpful, as debug log entries are used to troubleshoot errors and issues, not the performance.

The reason why the Apex classes are not able to access the metadata of the target org during testing is that UC needs to get the managed package certified by the Salesforce security review. This is because Apex code in a managed package can only access the metadata of the target org if the package has passed the security review and has been granted the Modify Metadata permission. See Apex Metadata API for more details.

The reason why the Apex classes are not able to access the metadata of the target org during testing is that UC needs to get the managed package certified by the Salesforce security review. This is because Apex code in a managed package can only access the metadata of the target org if the package has passed the security review and has been granted the Modify Metadata permission. See Apex Metadata API for more details.

 Using a Change Set or manually replicating the changes in the developer sandbox are both valid approaches to ensure that changes made in production are reflected in the sandbox that the developers are working on. Refreshing the developer sandbox would overwrite any changes made by the developers, and Salesforce-to-Salesforce is not a deployment tool.

Creating design standards focused on integration and providing training to all teams is the best way to address the challenges of having various integration patterns and a lack of common understanding of the integration landscape. Design standards can help to establish consistent and best practices for integrating Salesforce with other systems, such as choosing the appropriate integration style, pattern, tool, and protocol. Training can help to educate and align the teams on the design standards and the integration architecture.

These are the correct answers because they are related to the data quality and integrity of the migrated data. Case association, case ownership, and data transformation are all important aspects of data migration that should be tested. Case assignment rules and escalation rules are not directly related to data migration, but rather to the business logic and workflow of the application. Page layout assignment is also not related to data migration, but rather to the user interface and security of the application.

The recommendation to satisfy the customer requirements is to use a Continuous Integration and Continuous Deployment tool and build the pipeline to deploy to sandboxes and production. A Continuous Integration and Continuous Deployment tool can automate the process of building, testing, and deploying the changes to different environments, as well as provide feedback and visibility into the deployment status and results. This can help to streamline and accelerate the deployment process, as well as to ensure consistency and quality across the environments. Using SFDX and documenting the deployment commands with steps to be executed for each environment is not a good recommendation, as it still requires manual intervention and execution, which can be error-prone and time-consuming. Using ANT script and building a custom application to run the script and use change sets to deploy supported metadata is not a good recommendation, as it involves using multiple tools and methods, which can increase the complexity and risk of the deployment process. Using an AppExchange solution that packages the deployment components and you can run the deployment wizard to track deployment result is not a good recommendation, as it may not support all the metadata types and features that need to be deployed, and it may not integrate well with the SFDX tools and methodologies that UC is using.

 The best way to address the issue of hitting governor limits while testing Apex classes is to use test.startTest() and test.stopTest() methods to reset governor limits. These methods mark the start and end of the test code, and allow you to run your test code with a separate set of governor limits. There is no AppExchange product that can temporarily increase the governor limits, and there is no auto reset property or test.setLimit() and test.resetLimit() methods that can reset governor limits.

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The best option is to ensure the sandbox will be on the release preview, which means it will be upgraded to the new platform release before the production environment. This will allow the team to test the deployment in a realistic scenario and catch any potential issues. Option A is not ideal, as the staging and production support sandboxes will not be on the same platform version as the production environment. Option C is also not ideal, as the production support sandbox will not be on the same platform version as the production environment. Option D is risky, as the staging sandbox refresh may not complete in time for the go-live.

 To reduce defects, the architect should recommend increasing the code coverage to 95% and adding more details to the acceptance criteria. Increasing the code coverage can help ensure that the code is thoroughly tested and meets the quality standards. Adding more details to the acceptance criteria can help clarify the requirements and expectations for the functionality. Using the test script to define the test classes or having the test analyst create the test classes are not good practices, as they can introduce errors and inconsistencies in the testing process.

 DOM changes introduced by a release can cause automated browser tests to need updating, as they can affect the way the browser interacts with the web page elements and the selectors used to identify them. New standard fields, metadata schema changes, and new Apex methods are not likely to affect automated browser tests, as they are mostly related to the backend functionality and data model of Salesforce. See [Automated Browser Testing] for more details.

A suitable branching policy to recommend for multiple development teams that work on separate streams of work, with different timelines, is trunk-based development. This policy allows each team to work on their own feature branches, and merge them to the main branch (trunk) frequently, using pull requests and code reviews. This can help avoid merge conflicts, ensure code quality, and enable continuous integration and delivery. Leaf-based development is not a valid branching policy, as it is a term used to describe the nodes in a tree data structure. GitHub flow is a specific implementation of trunk-based development, but it is not a branching policy by itself. Scratch-org-based development is not a branching policy, but a development model that uses scratch orgs as ephemeral environments. See Trunk-Based Development for more details.

 The daily release process is the most suitable for creating a new report to support an urgent client request, as it can deliver the functionality in a timely manner. Creating the report in a full sandbox and then deploying it to production can ensure the quality and security of the report.

The Service Cloud developer will see the conflict and need to resolve it when they create a pull request from ServiceCase to UCDev in GitHub. A pull request is a way of proposing changes to a branch and requesting a review and merge from another branch. GitHub will show any conflicts that prevent the pull request from being merged automatically, and the developer will need to resolve them manually before the merge can happen.

The most probable reason why none of the sandboxes can be refreshed is that the org has reached the maximum number of active sandboxes allowed by the license. Deleting the full sandbox used for performance testing will free up one sandbox slot and allow the other sandboxes to be refreshed. The Partial Copy sandbox is not the cause of the problem, as it counts as one sandbox slot. Creating a Salesforce support case or contacting the Salesforce Account Team may not resolve the issue in a timely manner.

 Fixing the issue in hotfix, testing, and deploying to production is the best option when UC has PI issues and has to be fixed immediately. A hotfix sandbox is a type of sandbox that is used for emergency fixes in production. It is a copy of the production org and has a shorter refresh interval than other sandboxes. A hotfix sandbox allows the team to quickly fix and test the issue without affecting the ongoing development and release cycles.

 Creating design standards to require help text on all custom fields and custom objects is an option that an Architect should recommend, as it helps to provide context and guidance for the administrators and users on how the fields and objects are used and what they mean. Creating design standards to consistently use the description field on custom fields is also an option that an Architect should recommend, as it helps to document the purpose and function of the fields and make them easier to maintain and understand. Creating design standards to consistently use the description field on custom objects is not an option that an Architect should recommend, as it is not a mandatory field and may not provide enough information for the administrators. Creating design standards with a document to store all custom objects and custom fields is not an option that an Architect should recommend, as it may be difficult to keep the document updated and synchronized with the actual metadata in the org. Creating design standards to require all custom fields on all custom object page layouts is not an option that an Architect should recommend, as it may clutter the user interface and reduce the usability and performance of the application.

The development model that is optimized for this need is to use unlocked packages to deploy the global code and allow each country to create its customized unlocked package extensions. This model can help maintain the global standardization and consistency of the code, while also providing the flexibility and autonomy for each region to customize some aspects of the code for their specific needs. Unlocked packages are a type of second-generation packaging that can be created and installed using the Salesforce CLI or APIs, and can be upgraded or uninstalled as needed. Unlocked package extensions are a type of unlocked packages that can depend on and extend another unlocked package or a managed package. See Unlocked Packages for more details.

The package development model relies on source tracking to automatically track the metadata changes in the package project. However, not all metadata components are supported by source tracking, and some changes may need to be tracked manually. For example, changes to profiles, permission sets, custom metadata types, and custom settings are not supported by source tracking. You can find the list of unsupported components here1. No manual tracking is required for the changes that are supported by source tracking, nor for the changes made via the Setup UI, as they are automatically captured by the package development model.

According to the [Salesforce Performance Testing Guide], performance tests must be run in a sandbox, a business justification must be provided to Salesforce, and performance tests may be run without advanced notice, but Salesforce will not store performance logs. Salesforce does not need to be informed 7 days before starting performance tests, and Salesforce will not monitor test activity to ensure there are no issues with Salesforce Services.

The problem is that UAT is on a preview release and SIT is not. A preview release is a version of Salesforce that contains the features and enhancements that will be available in the next major release. Preview releases are usually available a few weeks before the official release date, and they are assigned to a subset of instances. If UAT and SIT are on different instances, they may have different release versions, which can cause deployment issues. For example, if UAT has a preview release that contains some new metadata types that are not available in SIT, then deploying those metadata types from SIT to UAT will fail. To avoid this problem, the architect should check the Sandbox Preview Guide1 and the Release Notes2 to see if there are any changes that affect the deployment, and refresh and redeploy the sandboxes accordingly. There is a problem, and it is not expected behavior. Using the DX command line instead will not solve the problem, as it will still encounter the same version mismatch. SIT is not on a preview release and UAT is not, as that would not cause any deployment issues.

The best way to stop the rollbacks from happening is to ensure report metadata is exported daily and that it is merged into the developer branches before the next release. This way, the reports and dashboards will be up to date and consistent across all environments. Using a third-party data warehouse is not a solution, as it does not address the root cause of the rollbacks. Removing the executive’s ability to change reports is not a good practice, as it limits their flexibility and autonomy. Backing up and reimporting the reports before and after the release is not a reliable or scalable solution, as it can introduce errors and inconsistencies.

 Three advantages of using the SFDX are: can store code on a local machine, or a version control system; can create scratch orgs; and can install application metadata from a central repository. These advantages can help improve the development experience, as they allow developers to work with source-driven development, use ephemeral and configurable environments, and access metadata components from a shared location. Can quickly deploy metadata using Execute Anonymous is not an advantage of using the SFDX, as Execute Anonymous is a feature of the Developer Console that allows running Apex code, not deploying metadata. Can use native Deployment Rollback Tool to quickly revert to prior state is also not an advantage of using the SFDX, as there is no such tool in the SFDX. See [Salesforce DX] for more details.

 The best release strategy for creating a new report to support an urgent client request is to utilize the daily release process. The daily release process is designed for small and quick changes that do not require extensive testing or approval. The daily release process can create the report directly in a full sandbox and then deploy it to production. The major and minor release processes are more suitable for large and complex changes that require more testing and approval. The major and minor release processes should not create the report directly in production, as this may cause errors or conflicts.

Designing the right sandbox strategy for the release is a best practice, as it helps to ensure the quality and consistency of the code/configuration across different environments. Regression testing is mandatory for each release, as it helps to verify that the existing functionality is not broken by the new changes. Maintaining a pre/post deployment checklist for each release is a best practice, as it helps to track the tasks and dependencies for each deployment. Release sign-off is not only required for Production, but also for other environments such as UAT and Staging. Publishing a release calendar for each phase of the release is not a best practice, as it may change due to unforeseen circumstances and create confusion.

A single-org strategy is the best option for UC, as it will enable them to achieve business process standardization among all business units, which is the main goal of the CEO. A multi-org strategy would make it harder to enforce consistent processes and policies across the different business units, and would also increase the costs and complexity of managing multiple orgs. A common managed package could help with some aspects of standardization, but it would not cover all the possible scenarios and customizations that UC might need.

 To address the bug in production, the architect should recommend the following approaches: Investigate potential data impacts, fix the bug in a hotfix branch, and seek stakeholder approval for the hotfix. Investigating the data impacts can help assess the severity and scope of the bug, and determine the best course of action to mitigate any data loss or corruption. Fixing the bug in a hotfix branch can help isolate the change and avoid introducing any other changes from the current sprint. Seeking stakeholder approval for the hotfix can help ensure compliance with the regulatory requirements and governance policies.

Utilizing Heroku Connect to provide test class data is not a recommended method of creating test data in Salesforce, as it can introduce unnecessary complexity and dependency on an external system. Referencing data from middleware directly within your test class is also not a good practice, as it can make your test class unreliable and dependent on the availability of the middleware. Hosting a mock endpoint to produce sample information from an endpoint and loading a CSV as a static resource and referencing it in a test class are both valid methods of creating test data in Salesforce, as they allow you to isolate your test class from external factors and ensure consistent results. See Create Test Data for Apex Tests for more details.

 A is the correct answer, as generating a destructivechanges.xml file and deploying the package via the Force.com Migration Tool is the best way to manage the deletions of metadata components across sandbox environments and production with minimal impact on other work streams. A destructivechanges.xml file is a special file that specifies the components to be deleted from an org, and can be deployed using the Force.com Migration Tool, which is a command-line tool that uses the Metadata API to retrieve and deploy metadata components. This method can help to automate and streamline the deletion process, as well as ensure consistency and accuracy across the environments. B is incorrect, as performing deletes manually in a sandbox and then deploying a change set to production is not a good way to manage the deletions, as it can introduce errors and inconsistencies, as well as require additional steps and permissions. C is incorrect, as assigning business analysts to perform the deletes and splitting up the work between them is not a good way to manage the deletions, as it can create confusion and complexity, as well as lack of coordination and integration. D is incorrect, as deleting the components in production and then refreshing all sandboxes to receive the changes is not a good way to manage the deletions, as it can disrupt the production environment and the ongoing development and testing activities in the sandboxes. You can learn more about this topic in the Deploy Changes with the Force.com Migration Tool unit on Trailhead.

The best practice for moving classes between packages is to set them as deprecated in the source package and recreate them in the target package. This way, the existing subscribers of the source package will not be affected by the change, and the new subscribers of the target package will get the updated classes. Moving the classes directly or changing their names can cause compilation errors and dependency issues.

User centered design is a process that involves understanding the user needs, preferences, and behaviors before building the solution. This way, the solution can be tailored to the user’s goals and expectations, and increase the likelihood of adoption and satisfaction. Using Lightning Web Components, stopping development, or sending communication emails are not effective ways to overcome the problem of unused features.

The product team should review the Checkmarx errors and determine if they need to fix them or not. If the errors are false positives, meaning that they do not indicate a real security issue, the product team should mark them as such and attach an explanation, then submit the security review. This will help the Salesforce security review team to understand the rationale behind the code and avoid unnecessary rejections. The product team should not leave the errors to the Salesforce security review team, as they may reject the request if they find any potential security issue. The product team should not leave a partner support case, as this is not the proper channel for resolving code issues. The product team should not fix all the errors before submitting the security review, as some of them may not be relevant or critical, and fixing them may introduce new bugs or delays.

The evidence that can support the CTO’s claims is a burndown chart showing the team misses their forecast sprint after sprint. This indicates that the team is overcommitting and not able to deliver the work they planned. The definition of done, the Kanban board, and the burndown chart showing the team finishes early are not relevant to the CTO’s claims, as they do not reflect the actual progress and performance of the team.

Active Process Builders are configuration items that should be covered by executable tests, as they can have complex logic and actions that affect the behavior and performance of the application. Validation Rules, Workflow Rules, and Case Assignment Rules are also configuration items, but they are simpler and less likely to cause errors or conflicts. Therefore, they can be verified by manual testing or declarative tools.

 In the Metadata API, the External Object metadata type represents external objects. In the Metadata API, the Custom Object metadata type represents external objects.

The best option for the new BU is to use a new stand-alone Salesforce org, not integrated with the others. This will allow the new BU to have flexibility in their business processes, without affecting or being affected by the other BUs. Since the new BU does not share customers with the other BUs, there is no need to integrate with the customer 360-degree view org, which would add complexity and cost. Deploying the new BU in the customer 360-degree view org is not a good idea, as it would create confusion and duplication of data, as well as limit the customization options for the new BU. Using the same Salesforce org of another BU that shares geographical localization with the new BU is also not a good idea, as it would create conflicts and dependencies between the two BUs, as well as reduce the performance and security of the org. Using a new Salesforce org for the new BU, and customizing integration so that it reads and writes customer information from the customer data org is unnecessary and inefficient, as the new BU does not need to access or update the customer data of the other BUs.

The best deployment strategy for UC to use in this environment is to refresh the developer’s sandbox, develop changes, refresh the common sandbox, deploy to the common sandbox, test changes, as this will ensure that the developer’s sandbox has the latest production data and metadata, and that the common sandbox has the latest production data and metadata as well as the developer’s changes, before testing and deploying to production. Option B is not correct, as refreshing the developer’s sandbox after testing the changes will erase the changes and make them unavailable for deployment to the common sandbox. Option C is not correct, as refreshing the developer’s sandbox after developing the changes will erase the changes and make them unavailable for deployment to the common sandbox. Option D is not correct, as refreshing the common sandbox before developing the changes will make the common sandbox out of sync with the production data and metadata.

 REST API SObject Tree Request and REST API Composite Request are two ways to insert multiple related records in one call or transaction. REST API SObject Tree Request allows you to create nested records that share a root record. REST API Composite Request allows you to execute a series of REST API requests in a single call. Bulk API 2.0 and Streaming API are not suitable for inserting multiple related records in one call or transaction. Bulk API 2.0 is used for loading large batches of data asynchronously, and Streaming API is used for receiving notifications of data changes in real time.

To deploy custom metadata types to production using Metadata API, you need to include the CustomMetadata and CustomField data types. CustomMetadata represents the custom metadata type definition, and CustomField represents the custom metadata type fields. CustomMetadataType and CustomObject are not valid data types for custom metadata types

 Creating a release calendar, training and aligning all the teams is the best way to avoid conflicts and ensure smooth releases between major, minor, and Salesforce seasonal releases. A release calendar can help the teams plan ahead, coordinate their efforts, and avoid overlapping or conflicting changes. Training and aligning the teams can help them understand the release processes, the best practices, and the expectations for each release type. Gating all release decisions at the center of excellence, sharing the test plans, or creating a spreadsheet of metadata changes are not sufficient or scalable solutions for this problem.

The best practice is to fix the issues in the development sandbox, migrate them to the testing sandbox, and deploy to production after testing. This ensures that the development and testing environments are in sync and that the changes are properly tested before going to production. Fixing the issues in the testing environment and deploying them to production may introduce errors or conflicts, as the development environment may not have the same changes. Fixing the issues in the test environment and migrating them to the development sandbox may also cause errors or conflicts, as the development environment may have other changes that are not ready for testing.

This is the correct answer because Salesforce prohibits stress testing against production because it is a shared environment that hosts multiple customers and tenants. Stress testing against production may affect the performance and availability of the Salesforce service for other customers and violate the terms of service. Stress testing should be done in a sandbox or a developer edition org that is isolated from production.

Using static code analysis to enforce coding standards is the best way to improve consistency among the development teams working on different projects. Static code analysis is a tool that can automatically scan the code and detect any violations of the predefined coding rules and best practices. It can also provide feedback and suggestions to the developers on how to improve their code quality and readability. Creating a Center of Excellence for release management, requiring pull requests to be reviewed by two developers before merging, or executing regression testing before code can be committed are also good practices, but they are not as effective or efficient as static code analysis for ensuring coding consistency.

How to test existing functionality to ensure no regressions are introduced is a decision that the Architect should make when planning for releases, as it is part of the quality assurance process and helps to ensure that the new changes do not break the existing functionality. When to test a new UC feature release is also a decision that the Architect should make when planning for releases, as it is part of the release schedule and helps to coordinate the testing activities with the development and deployment activities. Whether Salesforce will wait to upgrade the pod until after a UC release is complete is not a decision that the Architect can make, as it is determined by Salesforce and depends on the release window and the pod assignment. How to roll back to the previous Salesforce release if there are issues is not a decision that the Architect can make, as it is not possible to roll back to a previous Salesforce release once the upgrade is done.

 Using a Source Control system alongside a multi-sandbox development strategy has several advantages, such as performing code reviews before promoting to a pre-production sandbox, keeping a history of changes made by each developer, and creating a branching strategy that tracks each feature or change separately. Automatically deploying changes from sandbox to production is not an advantage of Source Control, but rather a function of a Continuous Integration tool. Acting as a backup in case of catastrophic data loss is not an advantage of Source Control, but rather a benefit of having a sandbox strategy.

B and D are the correct answers, as partner developer edition orgs and developer edition orgs are the appropriate environments for creating a managed package. A managed package is a collection of application components that are locked and versioned, and can be installed and upgraded in multiple orgs. A is incorrect, as developer pro sandbox orgs are not suitable for creating a managed package, as they are copies of a production org that are used for development and testing purposes. C is incorrect, as production orgs with LMA are not suitable for creating a managed package, as they are used for managing the licenses and subscribers of a managed package. You can learn more about this topic in the Package Development Model module on Trailhead.

 An application with many systems and inter-dependencies between components is a project situation that favors a waterfall methodology, as it requires a high level of planning and design upfront to ensure the integration and compatibility of the components. An application with regulatory compliance requirements to be validated by outside agencies is also a project situation that favors a waterfall methodology, as it requires a clear and detailed documentation of the requirements and specifications, as well as a formal and rigorous testing and validation process. An application in post-production, with incremental changes made by a small team is a project situation that favors an agile methodology, as it allows for faster and more frequent delivery of changes, as well as more flexibility and collaboration. An in-house application with a fixed team size, but an open timeline and flexible requirements is also a project situation that favors an agile methodology, as it allows for more creativity and experimentation, as well as more feedback and adaptation.

 Implementing a pull request and secure code review will contribute to an improvement of code security by ensuring that the code is checked and approved by another developer before merging to the main branch. Integrating a static code security analysis tool in the CI/CD process will contribute to an improvement of code security by automatically scanning the code for vulnerabilities and enforcing security standards. Hiring a company specialized in secure code review or using two developers to review and fix current code vulnerabilities are not actions that will improve code security, but rather remediate existing security issues.

Refreshing all non-preview sandboxes during the release preview window is the best way to handle the situation of having a mix of preview and non-preview instances for the release of a major project. A release preview window is a period of time before a Salesforce seasonal release, where the customers can test their applications and integrations in a sandbox that has the same version as the upcoming release. By refreshing all non-preview sandboxes during this window, the architect can ensure that all the sandboxes are aligned with the same version and avoid any conflicts or errors during the deployment. Refreshing the sandboxes when the release management team has time, mixing instance types, or contacting support to rollback the release are not good practices, as they can cause inconsistency, confusion, or disruption in the release process.

The partner can use Developer Edition or Partner Developer Edition for development of the managed package. These environments allow the creation of a namespace and the packaging of components into a managed package. Developer sandbox and Developer Pro sandbox do not support these features and are not suitable for developing a managed package.

 The change set performance may depend on the included components, especially if they are complex or have many dependencies. The change set may take more time than usual if it includes changes to permission sets and profiles, as these components require additional validation and processing. The change set may not take more time if it includes field type changes, new custom objects and fields, or other simple components.

C and D are the best approaches to develop customizations once and make them available in both orgs, as they use packages that can be installed and updated in multiple orgs. A is not a good approach, as it does not allow for versioning and dependency management of the customizations. B is not a good approach, as it does not support deploying metadata components between orgs.

To track Salesforce metadata throughout the development lifecycle across sandboxes and production, the architect should recommend using an AppExchange or third-party tool that is specialized in Salesforce deployment. These tools can provide features such as version control, dependency analysis, automated testing, and rollback capabilities. Using an Excel sheet to track deployment steps and document the SFDX commands is not a reliable or scalable solution, as it is prone to human errors and does not provide any automation or validation. Using ChangeSet to track deployed customizations is also not a good option, as ChangeSet is limited in the types of metadata it can deploy and does not support versioning or dependency management. Using Salesforce SFDX commands to deploy to different sandboxes is a possible solution, but it requires a high level of technical expertise and does not provide a graphical interface or reporting capabilities.

 The Metadata API is mainly used for file-based deployment, such as deploying an application from a Developer Edition org to the AppExchange, or from a sandbox org to a production org. The Ant Migration Tool is a wrapper around the Metadata API, so it is not a direct use case for writing code to call retrieve() and deploy() methods. The Salesforce CLI (SFDX) uses the Source-Driven Development model, which relies on the source code as the source of truth, rather than the Metadata API.

The responsibility of the Technical Architect within a Change Control Board meeting is to approve the upcoming release for deployment into production, as they are the ones who have the authority and expertise to evaluate the quality and readiness of the release2. Option A is not correct, as prioritizing the Salesforce product roadmap with business stakeholders is not a task that is done in a Change Control Board meeting, but rather in a strategic planning session. Option B is not correct, as conducting code reviews for projects in the development phase is not a task that is done in a Change Control Board meeting, but rather in a code review session. Option C is not correct, as troubleshooting deployment errors that occurred during the last release is not a task that is done in a Change Control Board meeting, but rather in a post-deployment review session.

The usual symptoms of inadequate negative tests are the ones that indicate that the code is not handling the possible errors or exceptions that may occur in different scenarios. For example, when an Apex batch job runs at a scheduled time, an increased number of Apex execution errors occur over all1, this means that the code is not handling the possible concurrency issues, governor limits, or data quality issues that may arise when the job runs. Similarly, when an Apex process runs into an un-handled exception when an HTTP callout has an unexpected status code in the response body1, this means that the code is not handling the possible network issues, authentication issues, or API errors that may occur when making the callout. Another symptom is when developers constantly ask the testers for a screenshot of the error and the exact steps of reproducing the error1, this means that the code is not logging the error details or providing meaningful error messages to the users. Option A is incorrect because turning to the debug log for details of the failed Apex executions is not a symptom of inadequate negative tests, but a normal practice of debugging the code. Option E is incorrect because the delivered user interfaces are not meeting the expectations of the business users is not a symptom of inadequate negative tests, but a symptom of poor user interface design or incomplete requirements.

To reduce deployment time, UC can use the following strategies:

• Use recent deployment validations and the quick deploy feature, which can allow them to skip the validation step in production and deploy the changes faster, if they have already validated the changes in a sandbox within the last four days.
• Specify the test to run by using RunSpecifiedTests test level, which can allow them to run only the tests that are relevant to the components being deployed, instead of running all the tests in the org.

Allowing no code/configuration changes directly in the production org and using Metadata API to automate deployment to the production org are two options that will streamline the process. These options help to enforce a consistent and controlled deployment process that avoids manual errors and conflicts in the production org.

The testing of the JavaScript part of the Aura component can be tested in the Jest framework and the Apex controllers can be tested using test classes. The testing can be viewed in the lightning.force.com/c/jasminetests.app URL. The page loads and runs Jasmine test and writes pass/fail information to the screen. The Lightning test service AppExchange package is not required for testing Aura components, but for testing Lightning web components. The $T test helper object is not a valid object for testing Lightning components.

Managed package is the recommended mechanism for releasing an application that can be installed in other Salesforce environments. Managed packages allow for versioning, licensing, and upgradeability of the application. They also protect the intellectual property of the developer by hiding the source code of the Apex classes and Visualforce pages.

Two testing types that an architect should recommend to ensure users don’t face platform slowdowns during peak business hours are: stress testing and performance testing. Stress testing is the process of testing the system under extreme load conditions, such as a large number of concurrent requests, to determine its breaking point and identify any potential bottlenecks or failures. Performance testing is the process of testing the system under normal or expected load conditions, such as the average number of requests per day, to measure its response time, throughput, and resource utilization. These testing types can help ensure that the web service can handle the expected volume and frequency of requests, and that it meets the performance and reliability requirements. Unit testing is not a testing type that an architect should recommend for this scenario, as it is the process of testing individual units of code, such as methods or classes, to verify their functionality and logic. Load testing is also not a testing type that an architect should recommend for this scenario, as it is the process of testing the system under a specific load condition, such as a fixed number of requests, to evaluate its behavior and performance. See Testing RESTful Web Services for more details.

The optimized order to load the objects is: accounts, contacts, leads, products, opportunities, opportunity line items. This order follows the dependency and relationship rules among the objects, such as: accounts must be loaded before contacts, as contacts are related to accounts; leads must be loaded before opportunities, as opportunities can be converted from leads; products must be loaded before opportunity line items, as opportunity line items are related to products; and opportunities must be loaded before opportunity line items, as opportunity line items are related to opportunities. See [Data Import Order] for more details.