Development-Lifecycle-and-Deployment-Architect Exam Dumps - Salesforce Certified Development Lifecycle and Deployment Architect (WI25)

The creation and execution of Release Management processes are the responsibility of the Dev/Build Team and the Center of Excellence. The Dev/Build Team is in charge of developing, testing, and deploying the changes to the system, while the Center of Excellence is in charge of defining and managing the best practices, standards, and governance for the system. The Steering Committee is a group of senior stakeholders that provides strategic direction and oversight for the project, but does not create or execute the Release Management processes. The End Users are the people who use the system, but do not create or execute the Release Management processes.

 Identifying the relevant data and verifying the data integrity can help ensure the quality and accuracy of the migrated data. Using a full sandbox and performing test runs with real data can help validate the migration process and identify any issues or risks.

: Storing the records in sandboxes and production is not a good practice, as it can lead to data inconsistencies and conflicts. Storing the records in a version control system is a better option, as it allows tracking changes and deploying them to different environments. Using a third-party product to manage these records is also a valid option, as it can provide features such as data backup, restore, and migration.

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.

Test classes should execute under various profiles to ensure that the code works for different user permissions and sharing settings. Test data must have positive as well as negative data to cover all possible scenarios and edge cases.

 Developing a new Customer Community with an Agile methodology and a three-month timeline poses some risks, such as the functionality that can be delivered in 3 months is unknown, and may not meet the needs of the business, and given the lack of requirements and the three-month timeline commitment, the project may not be feasible. Agile is an appropriate development methodology for Customer Community implementations, as it allows for iterative and incremental delivery of value. Agile also allows for changes to requirements, so customers can provide feedback and prioritize the most important features.

The two sandbox types that would be appropriate to use as the hotfix environment are Developer sandbox and Developer Pro sandbox. These sandbox types are suitable for testing and deploying quick fixes, as they are easy to create and refresh, and have a minimal data and metadata footprint. A Partial Copy sandbox or a Full sandbox would be too large and complex for a hotfix environment, and would take longer to create and refresh.

Deploying unsupported components manually before/after deployment is the best way to address the issue of Metadata API not supporting all the components yet. Metadata API is a powerful tool for deploying changes between orgs, but it does not cover all the metadata types that are available in Salesforce. Some examples of unsupported components are email templates, dashboards, reports, and custom settings. These components need to be deployed manually by using other tools or methods, such as change sets, data loader, or manual configuration.