The answer is to define a deployment verifier in the Cloud Deploy pipeline that runs automated smoke tests and promotes the release on success. This is correct because Cloud Deploy’s verifiers are custom Cloud Build jobs integrated directly into a rollout; when the verifier succeeds for the canary deployment in the staging target, the pipeline automatically promotes the release to production without manual intervention. On the Google Professional Cloud Developer exam, this tests your understanding of how to embed automated validation into delivery pipelines, often appearing as a scenario where you must choose between manual approval gates, Skaffold configurations, or verifiers—the common trap is confusing verifiers with simple rollout strategies like blue/green. Remember the key distinction: verifiers execute arbitrary tests and drive auto-promotion, while manual approvals require human sign-off. A useful memory tip is “Verify to Promote”—if the verifier passes, the pipeline promotes automatically.
PCD Building and testing applications Practice Question
This PCD practice question tests your understanding of building and testing applications. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company is using Cloud Deploy to manage canary deployments to GKE. They want to automatically promote a release to the 'production' target if the canary deployment in the 'staging' target passes a set of automated smoke tests. What is the required configuration?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Define a deployment verifier in the pipeline that runs smoke tests and promotes on success.
Option B is correct because Cloud Deploy supports deployment verifiers, which are custom Cloud Build jobs that run as part of a rollout. By defining a verifier in the pipeline that executes automated smoke tests, the canary deployment in the staging target can be automatically promoted to production only if the verifier succeeds. This integrates testing directly into the delivery pipeline without manual intervention.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Create a Cloud Build trigger to redeploy on test success.
Why it's wrong here
That creates a new release, not promotion of existing release.
✓
Define a deployment verifier in the pipeline that runs smoke tests and promotes on success.
Why this is correct
Verifiers can automatically promote based on test results.
Related concept
Read the scenario before looking for a memorised answer.
✗
Configure a manual approval gate between staging and production in the delivery pipeline.
Why it's wrong here
Manual approval requires human action, not automatic.
✗
Set the 'automaticPromotion' flag to true on the staging target.
Why it's wrong here
Automatic promotion is based on rollout success, not artifact verification.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse the 'automaticPromotion' flag with a test-gated promotion, not realizing that automatic promotion simply skips manual approval but does not add any verification step; a verifier is required to enforce test-based promotion.
Detailed technical explanation
How to think about this question
Cloud Deploy deployment verifiers are implemented as Cloud Build jobs that run within the rollout's execution environment. The verifier's exit code determines success or failure; a non-zero exit code halts the rollout and prevents promotion. This allows teams to embed custom validation logic, such as running smoke tests against the canary's service endpoint, and ensures that only verified releases progress to production, reducing the risk of deploying broken code.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Building and testing applications — This question tests Building and testing applications — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Define a deployment verifier in the pipeline that runs smoke tests and promotes on success. — Option B is correct because Cloud Deploy supports deployment verifiers, which are custom Cloud Build jobs that run as part of a rollout. By defining a verifier in the pipeline that executes automated smoke tests, the canary deployment in the staging target can be automatically promoted to production only if the verifier succeeds. This integrates testing directly into the delivery pipeline without manual intervention.
What should I do if I get this PCD question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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