A company wants to implement a CI/CD pipeline that deploys to multiple environments (dev, staging, prod). They need to ensure that the same artifact is deployed to each environment, and that configuration differences are handled securely. Which approach best meets these requirements?

Deploy directly from source code to each environment

Build a new artifact for each environment with environment-specific configuration embedded

Use a single configuration file for all environments and override at runtime

Build one artifact and use environment variables or a configuration service to inject environment-specific settings

A team uses a rolling deployment on GKE. After the deployment, they notice that the new version is causing increased latency for a subset of users. They want to identify which version is causing the issue and roll back if necessary. What should they do?

Immediately roll back to the previous version without investigation

Scale up the new version to handle the increased latency

Check the GKE deployment history and use kubectl rollout undo to revert to the previous version

Use Cloud Monitoring to compare metrics between the old and new versions, then roll back if needed

What is the primary purpose of post-deployment validation?

To write unit tests for the application code

To configure the network firewall

To verify that the deployed application is healthy and functioning as expected

What is the primary purpose of defining a rollback procedure in a release management process?

To communicate release notes to end users

To revert to a known good state if a deployment fails or causes issues

To automate the build and test stages of the pipeline

To track changes to the source code

What is a key principle of infrastructure as code (IaC)?

Infrastructure is provisioned only once and never changed

Infrastructure is provisioned and managed through machine-readable definition files

Infrastructure is managed by a third-party vendor

Infrastructure is manually configured through the cloud console

Google CloudProfessional Cloud Architect

Domain 6Objective 3

6.3 Deployment and Release Management PROFESSIONAL-CLOUD-ARCHITECT Practice Questions (Page 4)

Part of the Ensuring solution and operations excellence domain, which accounts for ~12.5% of the PROFESSIONAL-CLOUD-ARCHITECT exam. Google Cloud does not publish an official question count, but from its 120-minute exam (~50–80 total, ~6–6 in this domain), expect 1–1 from this objective — we provide 35 practice questions to prepare you well beyond it. (estimate)

35questions here

7free pages

8concepts

~12.5%of the exam

Questions 16–20

16expert · hard
A company wants to implement a CI/CD pipeline that deploys to multiple environments (dev, staging, prod). They need to ensure that the same artifact is deployed to each environment, and that configuration differences are handled securely. Which approach best meets these requirements?
Select an answer first
17expert · hard
A team uses a rolling deployment on GKE. After the deployment, they notice that the new version is causing increased latency for a subset of users. They want to identify which version is causing the issue and roll back if necessary. What should they do?
Select an answer first
18foundation · easy
What is the primary purpose of post-deployment validation?
Select an answer first
19foundation · easy
What is the primary purpose of defining a rollback procedure in a release management process?
Select an answer first
20foundation · easy
What is a key principle of infrastructure as code (IaC)?
Select an answer first

Finished these 5 questions?

Review the revealed explanations, or continue through the curriculum.

Next 5 questions →Back to PROFESSIONAL-CLOUD-ARCHITECT

Free Basic Practice is a study aid with revealable answers — not a scored exam. Examers.io is independent and not affiliated with or endorsed by Google Cloud. “PROFESSIONAL-CLOUD-ARCHITECT” is a trademark of its owner, used for identification only.