Plat-Arch-202 Exam Dumps - Platform Development Lifecycle and Deployment Architect

The correct selection is A, C. Metadata deletion through deploy() requires a destructiveChanges.xml manifest identifying the components to delete and a package.xml manifest in the deployment package. purgeOnDelete controls permanent purge behavior but is not required merely to perform a destructive metadata deployment. From a deployment perspective, the same release should be reproducible across environments, with dependencies, metadata/data differences, API behavior, and target-org constraints identified before production. Automation is valuable because it turns deployment knowledge into a controlled process rather than relying on memory or manual reconstruction. The other choices either rely on manual reconstruction, use a deployment mechanism designed for a different scope, or fail to preserve dependencies and repeatability across target environments. For this scenario, the decisive point is therefore the platform behavior represented by the selected options (A. Package.XML file.; C. DestructiveChanges.xml file.). Applying that rule consistently keeps the implementation aligned with Salesforce-supported lifecycle practices and makes the resulting change easier to review, validate, and operate across environments.

Study Guide reference: Deploying — Metadata API and Tooling API; deployment validation; package/change-set deployment; data migration; dependency management.

The correct selection is A, B. Because regulations prohibit production data in non-production, UC can either mask a production-derived Full sandbox or generate synthetic data with production-like distribution and volume. Both approaches support realistic performance behavior without exposing regulated values. From a testing perspective, the goal is deterministic evidence that the solution behaves correctly under the conditions that matter. Tests should isolate external dependencies, use controlled data, exercise positive and negative paths, and reproduce realistic volume or user behavior where required without making production the first place defects are discovered. The rejected choices either test the wrong layer, introduce live-system dependencies, or detect problems too late to provide the deterministic early feedback expected from a mature test strategy. For this scenario, the decisive point is therefore the platform behavior represented by the selected options (A. Perform data masking on full sandbox after a refresh.; B. Generate mock data that mimics production data shape and volume.). Applying that rule consistently keeps the implementation aligned with Salesforce-supported lifecycle practices and makes the resulting change easier to review, validate, and operate across environments.

Study Guide reference: Testing — Apex testing; test-data isolation; mocks; regression testing; performance/load testing; sandbox test strategy.

The correct selection is D. The established architecture separates business-unit operations into individual orgs and centralizes enterprise customer data. The new BU should therefore receive its own org for process autonomy and integrate with the customer-data hub so enterprise data governance remains consistent. From a system-design perspective, the decision should minimize unnecessary coupling while preserving clear ownership, scalability, governance, and extensibility. Salesforce architecture is strongest when boundaries reflect real business and technical responsibilities instead of using organizational convenience as the primary design driver. The alternatives are less suitable because they optimize for convenience instead of the long-term system qualities of isolation, reuse, maintainability, and controlled integration. For this scenario, the decisive point is therefore the platform behavior represented by the selected option (D. Use a new Salesforce org for the new BU, and customize integration so that it reads and writes customer information from the customer data org.). Applying that rule consistently keeps the implementation aligned with Salesforce-supported lifecycle practices and makes the resulting change easier to review, validate, and operate across environments.

Study Guide reference: System Design — org strategy; modular architecture; integration topology; data ownership; enterprise governance; scalability.

The correct selection is B. This is an emergency production defect causing rapid business damage. Pairing the administrator with an architect provides a four-eyes control so the smallest safe corrective change can be reviewed live, documented, verified, and then synchronized back into source control and downstream environments. From an operating perspective, production stability depends on disciplined incident handling, environment synchronization, backup/recovery, observability, and control of configuration drift. Emergency actions can be faster than normal releases, but they still require traceability and must be reconciled back into the managed development baseline. The rejected choices do not provide a sustainable operating control because they fail to preserve traceability and synchronization after the immediate incident or environment change. For this scenario, the decisive point is therefore the platform behavior represented by the selected option (B. Pair with the administrator, and review each change as it happens). Applying that rule consistently keeps the implementation aligned with Salesforce-supported lifecycle practices and makes the resulting change easier to review, validate, and operate across environments.

Study Guide reference: Operating — production governance; environment drift; incident response; backup/recovery; post-refresh controls; hotfix synchronization.

The correct selection is C, D, E. Migration testing must confirm transformed values, record ownership, and referential integrity. Account and Lead ownership affects access and reporting, source-to-target transformations must reconcile correctly, and Contacts must remain associated with the proper Accounts after identifier remapping. From a testing perspective, the goal is deterministic evidence that the solution behaves correctly under the conditions that matter. Tests should isolate external dependencies, use controlled data, exercise positive and negative paths, and reproduce realistic volume or user behavior where required without making production the first place defects are discovered. The rejected choices either test the wrong layer, introduce live-system dependencies, or detect problems too late to provide the deterministic early feedback expected from a mature test strategy. For this scenario, the decisive point is therefore the platform behavior represented by the selected options (C. Account and Lead ownership; D. Data transformation against source system; E. Contact association with contact account). Applying that rule consistently keeps the implementation aligned with Salesforce-supported lifecycle practices and makes the resulting change easier to review, validate, and operate across environments.

Study Guide reference: Testing — Apex testing; test-data isolation; mocks; regression testing; performance/load testing; sandbox test strategy.

The correct selection is A, D, E. Salesforce DX supports local, source-controlled projects; installation of centrally managed application metadata or package versions; and creation of temporary scratch orgs for isolated development and CI. It does not provide a universal native rollback button or use Execute Anonymous as a metadata deployment mechanism. From a build perspective, the implementation should be source-driven, reviewable, automatable, and modular. Engineering controls such as version control, package boundaries, static analysis, coding standards, and isolated development environments reduce defects early and make changes easier to understand, test, and promote. The alternatives do not create the same repeatable engineering control: they either postpone defect detection, couple teams unnecessarily, or bypass the package/source model that should govern the change. For this scenario, the decisive point is therefore the platform behavior represented by the selected options (A. Can store code on a local machine, or a version control system.; D. Can install application metadata from a central repository.; E. Can create scratch orgs.). Applying that rule consistently keeps the implementation aligned with Salesforce-supported lifecycle practices and makes the resulting change easier to review, validate, and operate across environments.

Study Guide reference: Building — Salesforce DX; package development; coding standards; static analysis; source control; secure development.

The correct selection is A, B. Static analysis and automated browser tests are repeatable controls that fit naturally into CI/CD. Static analysis catches security and code-quality defects before merge, while browser automation provides end-to-end regression coverage of user-facing flows; stress and business-verification testing are typically downstream activities rather than every-build gates. From a testing perspective, the goal is deterministic evidence that the solution behaves correctly under the conditions that matter. Tests should isolate external dependencies, use controlled data, exercise positive and negative paths, and reproduce realistic volume or user behavior where required without making production the first place defects are discovered. The other options are weaker because they sacrifice isolation, realism, or repeatability and therefore make failures harder to reproduce and diagnose across environments. For this scenario, the decisive point is therefore the platform behavior represented by the selected options (A. Static code quality analysis; B. Automated browser testing). Applying that rule consistently keeps the implementation aligned with Salesforce-supported lifecycle practices and makes the resulting change easier to review, validate, and operate across environments.

Study Guide reference: Testing — Apex testing; test-data isolation; mocks; regression testing; performance/load testing; sandbox test strategy.

The correct selection is A, D. The org development model enables automated deployment from source and automated change tracking through source-driven workflows. It does not automatically fix defects or make sandbox provisioning a defining built-in characteristic. From an ALM perspective, the controlling principles are a clear source of truth, repeatable change tracking, controlled promotion, testable release artifacts, and traceability from requirement through production. Mature teams separate the lifecycle from any single tool so the process remains consistent even when the deployment mechanism changes. The rejected alternatives either describe a specific tool rather than a lifecycle capability or omit the source-control and traceability needed for repeatable enterprise delivery. For this scenario, the decisive point is therefore the platform behavior represented by the selected options (A. Automated deployment; D. Automated change tracking). Applying that rule consistently keeps the implementation aligned with Salesforce-supported lifecycle practices and makes the resulting change easier to review, validate, and operate across environments.

Study Guide reference: Application Lifecycle Management — ALM stages; source control; change tracking; package/org development models; CI/CD; release traceability.