What is the purpose of a rollback mechanism in a deployment process?

To monitor application logs for errors

To restore the system to a previous known good state if the deployment fails

To encrypt data at rest in the database

To automatically scale the application during high traffic

Why is it important to incorporate security checks into a CI/CD pipeline?

To identify vulnerabilities early and prevent insecure code from reaching production

To automate the rollback process

To speed up the deployment process

To reduce the cost of cloud resources

Why is it important to store configuration files in a version control system?

To encrypt sensitive data in the configuration

To track changes and enable auditability of infrastructure modifications

To automatically deploy applications to production

To provide a runtime environment for the application

A company runs a customer-facing web application on Google Kubernetes Engine (GKE). They need to deploy a new version that adds a login page. The team wants to minimize risk of a full outage if the new version has a critical bug, but they also need to get feedback from a small subset of users before full rollout. Which deployment strategy should they use?

Blue/green deployment with immediate traffic switch

Rolling deployment with no pause between batches

Canary deployment with incremental traffic shifting

Recreate deployment with downtime window

A company wants to automate the deployment of a microservices application to Google Kubernetes Engine. They use Cloud Build for CI/CD and want to ensure that infrastructure changes are also version-controlled and tested. Which approach best meets this requirement?

Use a separate Jenkins server to manage infrastructure changes outside of Cloud Build

Create GKE clusters manually and only automate application deployments

Use Cloud Build to deploy container images and manually update GKE manifests via kubectl

Store Terraform configurations in the same repository and have Cloud Build run terraform apply

Google CloudProfessional Cloud Architect

Domain 6Objective 3

6.3 Deployment and Release Management PROFESSIONAL-CLOUD-ARCHITECT Practice Questions (Page 3)

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 11–15

11foundation · easy
What is the purpose of a rollback mechanism in a deployment process?
Select an answer first
12foundation · easy
Why is it important to incorporate security checks into a CI/CD pipeline?
Select an answer first
13foundation · easy
Why is it important to store configuration files in a version control system?
Select an answer first
14application · medium
A company runs a customer-facing web application on Google Kubernetes Engine (GKE). They need to deploy a new version that adds a login page. The team wants to minimize risk of a full outage if the new version has a critical bug, but they also need to get feedback from a small subset of users before full rollout. Which deployment strategy should they use?
Select an answer first
15application · medium
A company wants to automate the deployment of a microservices application to Google Kubernetes Engine. They use Cloud Build for CI/CD and want to ensure that infrastructure changes are also version-controlled and tested. Which approach best meets this requirement?
Select an answer first

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