Professional-Cloud-DevOps-Engineer参考書 & Professional-Cloud-DevOps-Engineer認定試験

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Google Professional-Cloud-Devops-Enginer認定を取得するには、候補者は、Kubernetes、クラウド機能、クラウドビルドなどのGoogleクラウド固有のテクノロジーなど、さまざまなDevOpsツールやプラクティスの知識をテストする厳格な試験に合格する必要があります。この試験は、候補者が実際のコンテキストでDevOpsワークフローを設計、実装、および管理する能力を実証することを要求する多肢選択とシナリオベースの質問で構成されています。成功した候補者は、Google Cloudを使用して、スケーラブルで信頼性の高いアプリケーションを構築、展開、および管理する専門知識を実証することができます。
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Professional-Cloud-DevOps-Engineer認定試験、Professional-Cloud-DevOps-Engineer日本語練習問題
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認定試験は、Google CloudプラットフォームでのDevOpsの実践に関する候補者の実際の経験と知識をテストする、複数選択およびシナリオベースの質問で構成されています。この試験は、英語、日本語、スペイン語を含むいくつかの言語で利用でき、安全なオンラインプラットフォームを通じて配信されます。
Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q74-Q79):
質問 # 74
You manage your company's primary revenue-generating application. You have an error budget policy in place that freezes production deployments when the application is close to breaching its SLO. A number of issues have recently occurred, and the application has exhausted its error budget. You need to deploy a new release to the application that includes a feature urgently required by your largest customer. You have been told that the release has passed all unit tests. What should you do?
- A. Re-run the unit tests, and start the deployment of the feature if the tests pass.
- B. Deploy the feature to a subset of users, and gradually roll out to all users if there are no errors reported.
- C. Delay the deployment of the feature until the error budget is replenished.
- D. Start the deployment of the feature immediately.
正解:B
質問 # 75
You need to run a business-critical workload on a fixed set of Compute Engine instances for several months.
The workload is stable with the exact amount of resources allocated to it. You want to lower the costs for this workload without any performance implications. What should you do?
- A. Convert the instances to preemptible virtual machines.
- B. Purchase Committed Use Discounts.
- C. Create an Unmanaged Instance Group for the instances used to run the workload.
- D. Migrate the instances to a Managed Instance Group.
正解:B
質問 # 76
You deployed an application into a large Standard Google Kubernetes Engine (GKE) cluster. The application is stateless and multiple pods run at the same time. Your application receives inconsistent traffic. You need to ensure that the user experience remains consistent regardless of changes in traffic. and that the resource usage of the cluster is optimized.
What should you do?
- A. Configure cluster autoscaling on the node pool.
- B. Configure a Vertical Pod Autoscaler.
- C. Configure a cron job to scale the deployment on a schedule.
- D. Configure a Horizontal Pod Autoscaler.
正解:D
質問 # 77
Some of your production services are running in Google Kubernetes Engine (GKE) in the eu-west-1 region.
Your build system runs in the us-west-1 region. You want to push the container images from your build system to a scalable registry to maximize the bandwidth for transferring the images to the cluster. What should you do?
- A. Push the images to Google Container Registry (GCR) using the eu.gcr.io hostname.
- B. Push the images to Google Container Registry (GCR) using the us.gcr.io hostname.
- C. Push the images to a private image registry running on a Compute Engine instance in the eu-west-1 region.
- D. Push the images to Google Container Registry (GCR) using the gcr.io hostname.
正解:A
解説:
Hostname Storage location gcr.io Stores images in data centers in the United States asia.gcr.io Stores images in data centers in Asia eu.gcr.io Stores images in data centers within member states of the European Union us.
gcr.io Stores images in data centers in the United States
質問 # 78
You use Terraform to manage an application deployed to a Google Cloud environment The application runs on instances deployed by a managed instance group The Terraform code is deployed by using aCI/CD pipeline When you change the machine type on the instance template used by the managed instance group, the pipeline fails at the terraform apply stage with the following error message

You need to update the instance template and minimize disruption to the application and the number of pipeline runs What should you do?
- A. Set the create_bef ore_destroy meta-argument to true in the lifecycle block on the instance template
- B. Delete the managed instance group and recreate it after updating the instance template
- C. Remove the managed instance group from the Terraform state file update the instance template and reimport the managed instance group.
- D. Add a new instance template update the managed instance group to use the new instance template and delete the old instance template
正解:A
解説:
The best option for updating the instance template and minimizing disruption to the application and the number of pipeline runs is to set the create_before_destroy meta-argument to true in the lifecycle block on the instance template. The create_before_destroy meta-argument is a Terraform feature that specifies that a new resource should be created before destroying an existing one during an update. This way, you can avoid downtime and errors when updating a resource that is in use by another resource, such as an instance template that is used by a managed instance group. By setting the create_before_destroy meta-argument to true in the lifecycle block on the instance template, you can ensure that Terraform creates a new instance template with the updated machine type, updates the managed instance group to use the new instance template, and then deletes the old instance template.
質問 # 79
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