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

The correct selection is A, D. A deployment rehearsal in a representative sandbox and final validation of the exact deployment package against production are the two strongest techniques for reducing last-minute release risk. They expose dependency, test, sequencing, and target-org issues before the limited go-live window. 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. Create a new sandbox and perform a test deployment to that environment.; D. Validate the final deployment package against production prior to go-live). 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, 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. Test.startTest() and Test.stopTest() create a fresh governor-limit context around the behavior under test and ensure asynchronous work completes before assertions. They are a testing technique, not a substitute for bulkifying production code that genuinely exceeds platform limits. 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 alternatives do not provide equivalent evidence: they either validate only a narrow implementation detail or depend on conditions outside the test ' s control. For this scenario, the decisive point is therefore the platform behavior represented by the selected option (A. Use test.startTest() and test.stopTest() methods to reset governor limits.). 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.