Salesforce Certification Exams Pack
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- Exam Name: Platform Development Lifecycle and Deployment Architect
- 118 Questions
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In the effort of improving the code quality, Universal Containers (UC) has asked a third-party system integrator to perform some independent code reviews. One piece of the feedback is the development team is seemingly not doing enough negative unit testing.
Which are three usual symptoms of inadequate negative tests? Choose 3 answers
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A, C, D
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Explanation
The correct selection is A, C, D. Inadequate negative tests commonly surface as poorly diagnosed failed Apex runs, unhandled exceptions when external systems return unexpected responses, and repeated manual requests for testers to reproduce failures. Good negative testing deliberately exercises invalid inputs and error paths with explicit assertions. 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. Developers often have to turn to the debug log for details of the failed Apex executions.; C. An Apex process runs into an un-handled exception when an HTTP callout has an unexpected status code in the response body.; D. Developers constantly ask the testers for a screenshot of the error and the exact steps of reproducing the error.). 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. |
Universal Containers (UC) currently uses the org development model and utilizes the Salesforce CLI as the deployment tool. After the feature release artifact file has been tested in a lower sandbox, it is being deployed to the full sandbox for performance testing and production deployment readiness check.
Since quick deployment options are not being used, what is the correct way to deploy the artifact to the full sandbox?
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B
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Explanation
The correct selection is B. A Metadata API-formatted release artifact should be validated and deployed consistently using the Metadata API deployment mechanism. Mixing source-format and mdapi commands introduces needless conversion risk, and because quick deploy is excluded, the normal deployment must run after successful validation. 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 alternatives are less reliable because they do not provide the same controlled handling of metadata, data relationships, validation, or environment-specific dependencies. For this scenario, the decisive point is therefore the platform behavior represented by the selected option (B. Authorize to the Full sandbox org; Validate with sfdx:mdapi:deploy On successful validation, deploy with sfdx:mdapi:deploy). 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. |
What two things are needed to delete metadata with a deploy() call? Choose 2 answers
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A, C
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Explanation
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. |
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