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最高のProfessional-Cloud-DevOps-Engineerミシュレーション問題 &合格スムーズProfessional-Cloud-DevOps-Engineer合格率書籍 |実用的なProfessional-Cloud-DevOps-Engineer関連日本語版問題集Google Cloud Certified - Professional Cloud DevOps Engineer Exam

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q165-Q170):

質問 # 165
You are performing a semiannual capacity planning exercise for your flagship service. You expect a service user growth rate of 10% month-over-month over the next six months. Your service is fully containerized and runs on Google Cloud Platform (GCP). using a Google Kubernetes Engine (GKE) Standard regional cluster on three zones with cluster autoscaler enabled. You currently consume about 30% of your total deployed CPU capacity, and you require resilience against the failure of a zone. You want to ensure that your users experience minimal negative impact as a result of this growth or as a result of zone failure, while avoiding unnecessary costs. How should you prepare to handle the predicted growth?

A. Proactively add 60% more node capacity to account for six months of 10% growth rate, and then perform a load test to make sure you have enough capacity.
B. Because you are at only 30% utilization, you have significant headroom and you won't need to add any additional capacity for this rate of growth.
C. Verity the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verity your expected resource needs.
D. Because you are deployed on GKE and are using a cluster autoscaler. your GKE cluster will scale automatically, regardless of growth rate.

正解：C

解説：
Explanation
https://cloud.google.com/kubernetes-engine/docs/concepts/horizontalpodautoscaler The Horizontal Pod Autoscaler changes the shape of your Kubernetes workload by automatically increasing or decreasing the number of Pods in response to the workload's CPU or memory consumption

質問 # 166
You are investigating issues in your production application that runs on Google Kubernetes Engine (GKE). You determined that the source Of the issue is a recently updated container image, although the exact change in code was not identified. The deployment is currently pointing to the latest tag. You need to update your cluster to run a version of the container that functions as intended. What should you do?

A. Build a new container from a previous Git tag, and do a rolling update on the deployment to the new container.
B. Create a new tag called stable that points to the previously working container, and change the deployment to point to the new tag.
C. Apply the latest tag to the previous container image, and do a rolling update on the deployment.
D. Alter the deployment to point to the sha2 56 digest of the previously working container.

正解：D

質問 # 167
Your application images are built and pushed to Google Container Registry (GCR). You want to build an automated pipeline that deploys the application when the image is updated while minimizing the development effort. What should you do?

A. Use Cloud Build to trigger a Spinnaker pipeline.
B. Use a custom builder in Cloud Build to trigger a Jenkins pipeline.
C. Use Cloud Pub/Sub to trigger a Spinnaker pipeline.
D. Use Cloud Pub/Sub to trigger a custom deployment service running in Google Kubernetes Engine (GKE).

正解：C

解説：
https://cloud.google.com/architecture/continuous-delivery-toolchain-spinnaker-cloud
https://spinnaker.io/guides/user/pipeline/triggers/pubsub/

質問 # 168
Your company is developing applications that are deployed on Google Kubernetes Engine (GKE) Each team manages a different application You need to create the development and production environments for each team while you minimize costs Different teams should not be able to access other teams environments You want to follow Google-recommended practices What should you do?

A. Create one Google Cloud project per team In each project create a cluster with a Kubernetes namespace for development and one for production Grant the teams Identity and Access Management (1AM) access to their respective clusters.
B. Create one Google Cloud project per team In each project create a cluster for development and one for production Grant the teams Identity and Access Management (1AM) access to their respective clusters
C. Create a development and a production GKE cluster in separate projects In each cluster create a Kubernetes namespace per team and then configure Identity-Aware Proxy so that each team can only access its own namespace
D. Create a development and a production GKE cluster in separate projects In each cluster create a Kubernetes namespace per team and then configure Kubernetes role-based access control (RBAC) so that each team can only access its own namespace

正解：D

解説：
The best option for creating the development and production environments for each team while minimizing costs and ensuring isolation is to create a development and a production GKE cluster in separate projects, in each cluster create a Kubernetes namespace per team, and then configure Kubernetes role-based access control (RBAC) so that each team can only access its own namespace. This option allows you to use fewer clusters and projects than creating one project or cluster per team, which reduces costs and complexity. It also allows you to isolate each team's environment by using namespaces and RBAC, which prevents teams from accessing other teams' environments.

質問 # 169
Your application images are built using Cloud Build and pushed to Google Container Registry (GCR). You want to be able to specify a particular version of your application for deployment based on the release version tagged in source control. What should you do when you push the image?

A. Use GCR digest versioning to match the image to the tag in source control.
B. Reference the image digest in the source control tag.
C. Supply the source control tag as a parameter within the image name.
D. Use Cloud Build to include the release version tag in the application image.

正解：C

解説：
Explanation
https://cloud.google.com/container-registry/docs/pushing-and-pulling

質問 # 170
......

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