Free Salesforce Platform Development Lifecycle and Deployment Architect Practice Test Questions
Topic: Releasing
118 questionsUpdated 13-Nov-20268 topics
TopicReleasing
Question 1Choose 1
Universal Containers has many development teams deploying into a single org. The business is very seasonal
and approaching its busiest season. The business owner comes to you asking for your advice about its next
major production release.
What best practice should an architect recommend?
Correct answer:
C. Avoid releasing near peak business periods.
Explanation
Universal Containers is highly seasonal and approaching its busiest period. A major production release near peak business season introduces significant risk: if the release causes defects, performance issues, or downtime, the business could suffer lost revenue and customer impact during its most critical window.
The recognized ALM best practice is to freeze deployments / avoid major releases during peak business periods. Instead, schedule releases for a low-traffic window so that:
* Any issues can be detected and resolved without impacting peak business.
* Rollback/remediation can happen with minimal business disruption.
* Support and engineering teams are fully available (not consumed by peak operations).
This is a standard release governance recommendation in Salesforce ALM and enterprise change management.
Why Other Options Are Incorrect
A. Make declarative changes in production only — This violates ALM best practice. Changes should flow through sandboxes and version control, never be made directly in production. Direct production changes bypass testing and audit trails, increasing risk — especially dangerous before peak season.
B. Bypass regression testing for minor changes — Regression testing should never be bypassed, even for "minor" changes. Untested changes can break existing functionality, and before peak season the risk is magnified. Skipping regression testing contradicts quality governance.
D. Developers should conduct user acceptance testing — UAT must be performed by business users/stakeholders, not developers. Developers testing their own work creates bias and misses business-level validation. This is a clear separation-of-duties violation.
Universal Containers is about to begin the release of a major project. To facilitate this, they have several
sandboxes to make their deployment train. These sandboxes are a mix of preview and non- preview instances.
What should the architect recommend?
Correct answer:
A. Refresh all non-preview sandboxes during the release preview window.
Explanation
When a major Salesforce release is approaching, orgs that participate in preview get the new release first, while non-preview sandboxes stay on the current (old) version until the release is rolled out to production. This creates a version mismatch: preview sandboxes run the new release, but non-preview sandboxes still run the old release.
For a deployment train (a chain of sandboxes used to promote changes toward production), this mismatch is a serious problem. If non-preview sandboxes remain on the old version while preview sandboxes are on the new version, testing and deployments may behave inconsistently, and changes validated in preview may not behave the same in non-preview.
The architect should recommend refreshing all non-preview sandboxes during the release preview window so the entire deployment train runs on the same release version. This ensures:
* Consistent behavior across all environments in the train.
* Testing reflects what production will run after the release.
* Deployments don't fail due to version differences.
Aligning all sandboxes to the same release during the preview window is the standard ALM recommendation.
Why Other Options Are Incorrect
B. No advice needed; mixing instance types is important for regression testing — Mixing preview and non-preview instances is not desirable for a deployment train. Version mismatches cause inconsistent test results and deployment failures. It's not a deliberate regression-testing strategy.
C. Refresh all non-preview sandboxes when the release management team has time — Timing matters. Refreshes must happen during the preview window, not "whenever there's time." Waiting until after the preview window means the sandboxes may already be on the new release (or misaligned), defeating the purpose and risking deployment failures.
D. Contact support to rollback the release when Salesforce upgrades the sandboxes — Salesforce does not roll back releases on request. Sandbox upgrades to a new release are irreversible. This is not a valid option and reflects a misunderstanding of the release process.
References
* Salesforce Help – Preview Sandboxes and Release Windows: Preview vs. non-preview instance behavior during releases.
* Salesforce Trailhead – Application Lifecycle Management: Aligning sandboxes to the same release during preview.
Question 3Choose 1
Universal Containers (UC) has multiple development teams that work on separate streams of work, with
different timelines. Each stream has different releases of code and config, and the delivery dates differ
between them.
What is a suitable branching policy to recommend?
Correct answer:
A. GitHub flow
Explanation
When a major Salesforce release is approaching, orgs that participate in preview get the new release first, while non-preview sandboxes stay on the current (old) version until the release is rolled out to production. This creates a version mismatch: preview sandboxes run the new release, but non-preview sandboxes still run the old release.
For a deployment train (a chain of sandboxes used to promote changes toward production), this mismatch is a serious problem. If non-preview sandboxes remain on the old version while preview sandboxes are on the new version, testing and deployments may behave inconsistently, and changes validated in preview may not behave the same in non-preview.
The architect should recommend refreshing all non-preview sandboxes during the release preview window so the entire deployment train runs on the same release version. This ensures:
* Consistent behavior across all environments in the train.
* Testing reflects what production will run after the release.
* Deployments don't fail due to version differences.
Aligning all sandboxes to the same release during the preview window is the standard ALM recommendation.
Why Other Options Are Incorrect
B. No advice needed; mixing instance types is important for regression testing — Mixing preview and non-preview instances is not desirable for a deployment train. Version mismatches cause inconsistent test results and deployment failures. It's not a deliberate regression-testing strategy.
C. Refresh all non-preview sandboxes when the release management team has time — Timing matters. Refreshes must happen during the preview window, not "whenever there's time." Waiting until after the preview window means the sandboxes may already be on the new release (or misaligned), defeating the purpose and risking deployment failures.
D. Contact support to rollback the release when Salesforce upgrades the sandboxes — Salesforce does not roll back releases on request. Sandbox upgrades to a new release are irreversible. This is not a valid option and reflects a misunderstanding of the release process.
References
Salesforce Help – Preview Sandboxes and Release Windows: Preview vs. non-preview instance behavior during releases.
Salesforce Trailhead – Application Lifecycle Management: Aligning sandboxes to the same release during preview.
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