- A
Use preDeploy and postDeploy hooks to run Cloud Run jobs that check error rate and roll back.
Why wrong: Hooks can trigger jobs but do not natively support automatic rollback based on SLO metrics during canary phases.
- B
Configure canary deployment with the '--canary-percentage' flag and enable SLO verification in the delivery pipeline.
Cloud Deploy supports metrics-based canary verification and automatic rollback when SLOs are not met.
- C
Use Binary Authorization with a custom attestor that checks error rate.
Why wrong: Binary Authorization controls image deployment, not canary rollback based on metrics.
- D
Set an approval gate on the staging target that requires manual review.
Why wrong: Approval gates are manual, not automatic based on metrics.
Question 867 of 1,000
PCDE Practice Question: Building and Implementing CI/CD Pipelines for a Service
This PCDE practice question tests your understanding of building and implementing ci/cd pipelines for a service. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 team uses Cloud Deploy with a delivery pipeline that deploys to GKE clusters across dev, staging, and prod targets. They want to automatically roll back a release if the canary deployment in staging fails to meet a defined service-level objective (SLO) for error rate. Which Cloud Deploy feature enables this?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Configure canary deployment with the '--canary-percentage' flag and enable SLO verification in the delivery pipeline.
Option B is correct because Cloud Deploy's canary deployment strategy supports SLO verification via the `--canary-percentage` flag combined with a `canaryDeployment` configuration that includes a `verify` phase. This allows the pipeline to automatically roll back the release if the canary fails to meet the defined error rate SLO, without manual intervention or external services.
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.
- ✗
Use preDeploy and postDeploy hooks to run Cloud Run jobs that check error rate and roll back.
Why it's wrong here
Hooks can trigger jobs but do not natively support automatic rollback based on SLO metrics during canary phases.
- ✓
Configure canary deployment with the '--canary-percentage' flag and enable SLO verification in the delivery pipeline.
Why this is correct
Cloud Deploy supports metrics-based canary verification and automatic rollback when SLOs are not met.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use Binary Authorization with a custom attestor that checks error rate.
Why it's wrong here
Binary Authorization controls image deployment, not canary rollback based on metrics.
- ✗
Set an approval gate on the staging target that requires manual review.
Why it's wrong here
Approval gates are manual, not automatic based on metrics.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between Cloud Deploy's built-in canary SLO verification and external mechanisms like hooks or Binary Authorization, leading candidates to overcomplicate the solution when a native feature exists.
Detailed technical explanation
How to think about this question
Cloud Deploy's canary deployment uses a `canaryDeployment` strategy where you define a list of phases (e.g., 25%, 50%, 100%) and optionally a `verify` step that runs a Cloud Deploy verification job (e.g., using Cloud Monitoring metrics) to check SLOs. If the verify step fails, Cloud Deploy automatically initiates a rollback to the previous stable release by reverting the rollout in the GKE cluster, leveraging the underlying Kubernetes Deployment controller's revision history. This is distinct from manual rollbacks or external tools, as it is a first-class feature of the delivery pipeline.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
Visual reference
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 Implementing CI/CD Pipelines for a Service — study guide chapter
Learn the concepts, then practise the questions
- →
Building and Implementing CI/CD Pipelines for a Service practice questions
Targeted practice on this topic area only
- →
All PCDE questions
1,000 questions across all exam domains
- →
Google Professional Cloud Database Engineer study guide
Full concept coverage aligned to exam objectives
- →
PCDE practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related PCDE practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Building and Implementing CI/CD Pipelines for a Service practice questions
Practise PCDE questions linked to Building and Implementing CI/CD Pipelines for a Service.
Bootstrapping a Google Cloud Organisation for DevOps practice questions
Practise PCDE questions linked to Bootstrapping a Google Cloud Organisation for DevOps.
Applying Site Reliability Engineering Practices to a Service practice questions
Practise PCDE questions linked to Applying Site Reliability Engineering Practices to a Service.
Implementing Service Monitoring Strategies practice questions
Practise PCDE questions linked to Implementing Service Monitoring Strategies.
Optimising Service Performance practice questions
Practise PCDE questions linked to Optimising Service Performance.
Plan and manage database infrastructure practice questions
Practise PCDE questions linked to Plan and manage database infrastructure.
Define data structures and implement SQL for Business Intelligence practice questions
Practise PCDE questions linked to Define data structures and implement SQL for Business Intelligence.
Design and implement database schemas practice questions
Practise PCDE questions linked to Design and implement database schemas.
Monitor and optimize database performance practice questions
Practise PCDE questions linked to Monitor and optimize database performance.
PCDE fundamentals practice questions
Practise PCDE questions linked to PCDE fundamentals.
PCDE scenario practice questions
Practise PCDE questions linked to PCDE scenario.
PCDE troubleshooting practice questions
Practise PCDE questions linked to PCDE troubleshooting.
Practice this exam
Start a free PCDE practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Questions learners often ask
What does this PCDE question test?
Building and Implementing CI/CD Pipelines for a Service — This question tests Building and Implementing CI/CD Pipelines for a Service — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Configure canary deployment with the '--canary-percentage' flag and enable SLO verification in the delivery pipeline. — Option B is correct because Cloud Deploy's canary deployment strategy supports SLO verification via the `--canary-percentage` flag combined with a `canaryDeployment` configuration that includes a `verify` phase. This allows the pipeline to automatically roll back the release if the canary fails to meet the defined error rate SLO, without manual intervention or external services.
What should I do if I get this PCDE 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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Last reviewed: Jul 4, 2026
This PCDE practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PCDE exam.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.