1.3 Designing a CI/CD Architecture Stack in Google Cloud, Hybrid, and Multi-Cloud Environments PROFESSIONAL-CLOUD-DEVOPS-ENGINEER Practice Questions (Page 6)

Questions 26–30

1. 26application · medium

   Your organization uses Jenkins for CI and wants to deploy to Google Kubernetes Engine (GKE) using Google Cloud's CD capabilities. You want to minimize the amount of custom scripting and use Google Cloud's native delivery pipeline. What should you do?

   • AUse Jenkins to build and push the image, then use kubectl to deploy directly to GKE clusters.
   • BReplace Jenkins entirely with Cloud Build and use Cloud Deploy for all CI/CD needs.
   • CUse Argo CD to replace both Jenkins and Cloud Deploy for continuous delivery.
   • DHave Jenkins trigger a Cloud Build build that runs tests and then invokes Cloud Deploy to promote the application through the delivery pipeline.
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2. 27expert · hard

   You have a Cloud Deploy delivery pipeline with dev, staging, and prod targets. You need to introduce a canary deployment for the prod target, where 10% of traffic goes to the new version initially, then 50%, then 100%, with manual approval before each increase. What is the best way to achieve this?

   • AUse a separate delivery pipeline for each traffic percentage.
   • BManually change the service's traffic split using kubectl after each deployment.
   • CUse a Cloud Deploy rollout strategy with a canary deployment and multiple phases, each with an approval gate.
   • DUse a single rollout with 100% traffic and rely on monitoring to detect issues.
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4. 28foundation · easy

   What is the primary purpose of Artifact Registry in Google Cloud?

   • ATo run CI/CD pipelines
   • BTo monitor application performance
   • CTo manage Kubernetes clusters
   • DTo store and manage container images and language packages
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5. 29expert · hard

   Your Cloud Build pipeline builds a multi-module application. You want to cache dependencies to speed up builds, but you also need to ensure that the cache is invalidated when the dependency files change. What is the best approach?

   • AUse Cloud Build's built-in cache and manually clear it on every build.
   • BUse Docker layer caching by copying dependency files first and running the package manager install before copying the source code.
   • CUse a global cache directory in the build workspace and never clear it.
   • DUse Artifact Registry to cache dependencies and always pull the latest version.
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6. 30application · medium

   You are configuring a Cloud Deploy delivery pipeline with three targets: dev, staging, and prod. You want to require manual approval before a release is promoted to prod, but allow automatic promotion from dev to staging. What should you do?

   • AUse a single target and manually promote releases to each environment.
   • BDefine a delivery pipeline with the three targets and add a rollout policy that requires approval for the prod target.
   • CCreate three separate delivery pipelines, one for each environment.
   • DUse Cloud Build to promote releases and skip Cloud Deploy's approval mechanism.
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