- A
Create separate Cloud Build triggers per microservice, each building a container image, and use Cloud Deploy to manage canary deployments to GKE with automated promotion after tests pass.
This approach provides independent builds and automated promotion based on tests.
- B
Use Cloud Build to build all services and deploy to Cloud Run, then use traffic splitting to promote new versions.
Why wrong: Cloud Run is serverless, not GKE, and doesn't meet the requirement of GKE deployment.
- C
Create a single Cloud Build trigger that builds all services and deploys to a staging cluster, then manually promote to production.
Why wrong: A single trigger builds all services together, reducing independence and increasing build time.
- D
Use Spinnaker with a single pipeline that builds all services, and configure manual judgment gates for production promotion.
Why wrong: Spinnaker is complex and overkill; a single pipeline reduces independence.
Quick Answer
The answer is to create separate Cloud Build triggers per microservice and use Cloud Deploy for canary promotion with automated gating. This approach is correct because independent Cloud Build triggers allow each microservice to be built and deployed without affecting others, while Cloud Deploy’s canary strategy and automated promotion after tests pass enforce that only successfully tested builds reach production—directly addressing the need for independent deployments and gated, safe rollouts on GKE. On the Google Professional Cloud DevOps Engineer exam, this question tests your understanding of decoupling CI/CD pipelines for microservices and the role of Cloud Deploy’s progressive delivery model; a common trap is to assume a single pipeline or manual promotion suffices, which breaks independence and safety. Remember the mnemonic: “Separate triggers for separate services, canary gates for safe releases.”
PCDOE Building and implementing CI/CD pipelines Practice Question
This PCDOE practice question tests your understanding of building and implementing ci/cd pipelines. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 implementing CI/CD for a microservices application on Google Kubernetes Engine (GKE). The team wants to ensure that each service can be built and deployed independently without affecting other services. They also need to enforce that only successfully tested builds are deployed to production. Which CI/CD approach should they use?
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
Create separate Cloud Build triggers per microservice, each building a container image, and use Cloud Deploy to manage canary deployments to GKE with automated promotion after tests pass.
Option A is correct because it uses separate Cloud Build triggers per microservice to enable independent builds, and Cloud Deploy with canary deployments and automated promotion after tests pass ensures that only successfully tested builds reach production. This approach aligns with the requirements of independent service deployment and gated promotion to production on GKE.
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 separate Cloud Build triggers per microservice, each building a container image, and use Cloud Deploy to manage canary deployments to GKE with automated promotion after tests pass.
Why this is correct
This approach provides independent builds and automated promotion based on tests.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use Cloud Build to build all services and deploy to Cloud Run, then use traffic splitting to promote new versions.
Why it's wrong here
Cloud Run is serverless, not GKE, and doesn't meet the requirement of GKE deployment.
- ✗
Create a single Cloud Build trigger that builds all services and deploys to a staging cluster, then manually promote to production.
Why it's wrong here
A single trigger builds all services together, reducing independence and increasing build time.
- ✗
Use Spinnaker with a single pipeline that builds all services, and configure manual judgment gates for production promotion.
Why it's wrong here
Spinnaker is complex and overkill; a single pipeline reduces independence.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the distinction between independent service pipelines versus monolithic pipelines, and the trap here is assuming that a single pipeline or manual gates can satisfy both independence and automated gating, leading candidates to choose options like C or D.
Detailed technical explanation
How to think about this question
Cloud Deploy supports canary deployments with automated promotion by using delivery pipelines and targets, where a successful test run on the canary can trigger an automated rollout to the next target (e.g., production). Under the hood, Cloud Deploy uses Skaffold for configuration and can integrate with Cloud Build to run verification tests before promoting, ensuring only validated images reach production. In a real-world scenario, this approach allows teams to roll back quickly if the canary fails, without affecting other services.
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.
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FAQ
Questions learners often ask
What does this PCDOE question test?
Building and implementing CI/CD pipelines — This question tests Building and implementing CI/CD pipelines — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Create separate Cloud Build triggers per microservice, each building a container image, and use Cloud Deploy to manage canary deployments to GKE with automated promotion after tests pass. — Option A is correct because it uses separate Cloud Build triggers per microservice to enable independent builds, and Cloud Deploy with canary deployments and automated promotion after tests pass ensures that only successfully tested builds reach production. This approach aligns with the requirements of independent service deployment and gated promotion to production on GKE.
What should I do if I get this PCDOE 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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Last reviewed: Jun 30, 2026
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