Professional-Cloud-DevOps-Engineer受験料過去問、Professional-Cloud-DevOps-Engineer学習関連題
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JPNTestはIT試験問題集を提供するウエブダイトで、ここによく分かります。最もよくて最新で資料を提供いたします。こうして、君は安心で試験の準備を行ってください。弊社の資料を使って、100%に合格を保証いたします。もし合格しないと、われは全額で返金いたします。JPNTestはずっと君のために最も正確なGoogleのProfessional-Cloud-DevOps-Engineer「Google Cloud Certified - Professional Cloud DevOps Engineer Exam」試験に関する資料を提供して、君が安心に選択することができます。君はオンラインで無料な練習問題をダウンロードできて、100%で試験に合格しましょう。
Professional-Cloud-DevOps-EngineerはGoogleのひとつの認証で、Professional-Cloud-DevOps-EngineerがGoogleに入るの第一歩として、Professional-Cloud-DevOps-Engineer「Google Cloud Certified - Professional Cloud DevOps Engineer Exam」試験がますます人気があがって、Professional-Cloud-DevOps-Engineerに参加するかたもだんだん多くなって、しかしProfessional-Cloud-DevOps-Engineer認証試験に合格することが非常に難しいで、君はProfessional-Cloud-DevOps-Engineerに関する試験科目の問題集を購入したいですか?
>> Professional-Cloud-DevOps-Engineer受験料過去問 <<
唯一無二のGoogle Professional-Cloud-DevOps-Engineer: Google Cloud Certified - Professional Cloud DevOps Engineer Exam受験料過去問 - 権威のあるJPNTest Professional-Cloud-DevOps-Engineer学習関連題
GoogleのProfessional-Cloud-DevOps-Engineer認定試験と言ったら、人々は迷っています。異なる考えがありますが、要約は試験が大変難しいことです。GoogleのProfessional-Cloud-DevOps-Engineer認定試験は確かに難しい試験ですが、JPNTest を選んだら、これは大丈夫です。JPNTestのGoogleのProfessional-Cloud-DevOps-Engineer試験トレーニング資料は受験生としてのあなたが欠くことができない資料です。それは受験生のために特別に作成したものですから、100パーセントの合格率を保証します。信じないになら、JPNTestのサイトをクリックしてください。購入する人々が大変多いですから、あなたもミスしないで速くショッピングカートに入れましょう。
Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q193-Q198):
質問 # 193
You deploy a new release of an internal application during a weekend maintenance window when there is minimal user traffic. After the window ends, you learn that one of the new features isn't working as expected in the production environment. After an extended outage, you roll back the new release and deploy a fix. You want to modify your release process to reduce the mean time to recovery so you can avoid extended outages in the future. What should you do?
Choose 2 answers
- A. Configure a CI server. Add a suite of unit tests to your code and have your CI server run them on commit and verify any changes.
- B. Require developers to run automated integration tests on their local development environments before release.
- C. Adopt the blue/green deployment strategy when releasing new code via a CD server.
- D. Before merging new code, require 2 different peers to review the code changes.
- E. Integrate a code linting tool to validate coding standards before any code is accepted into the repository.
正解:D、E
質問 # 194
You need to build a CI/CD pipeline for a containerized application in Google Cloud Your development team uses a central Git repository for trunk-based development You want to run all your tests in the pipeline for any new versions of the application to improve the quality What should you do?
- A. 1. Trigger Cloud Build to build the application container and run unit tests with the container2. If unit tests are successful, deploy the application container to a testing environment, and run integration tests3. If the integration tests are successful the pipeline deploys the application container to the production environment After that, run acceptance tests
- B. 1. Install a Git hook to require developers to run unit tests before pushing the code to a central repositoryIf all tests are successful build a container2. Trigger Cloud Build to deploy the application container to a testing environment, and run integrationtests and acceptance tests3. If all tests are successful tag the code as production ready Trigger Cloud Build to build and deploy the application container to the production environment
- C. 1. Trigger Cloud Build to run unit tests when the code is pushed If all unit tests are successful, build and push the application container to a central registry.2. Trigger Cloud Build to deploy the container to a testing environment, and run integration tests and acceptance tests3. If all tests are successful the pipeline deploys the application to the production environment and runs smoke tests
- D. 1. Install a Git hook to require developers to run unit tests before pushing the code to a central repository2. Trigger Cloud Build to build the application container Deploy the application container to a testing environment, and run integration tests3. If the integration tests are successful deploy the application container to your production environment. and run acceptance tests
正解:C
解説:
The best option for building a CI/CD pipeline for a containerized application in Google Cloud is to trigger Cloud Build to run unit tests when the code is pushed, if all unit tests are successful, build and push the application container to a central registry, trigger Cloud Build to deploy the container to a testing environment, and run integration tests and acceptance tests, and if all tests are successful, the pipeline deploys the application to the production environment and runs smoke tests. This option follows the best practices for CI/CD pipelines, such as running tests at different stages of the pipeline, using a central registry for storing and managing containers, deploying to different environments, and using Cloud Build as a unified tool for building, testing, and deploying.
質問 # 195
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 a CI/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. Delete the managed instance group and recreate it after updating the instance template
- B. Remove the managed instance group from the Terraform state file update the instance template and reimport the managed instance group.
- C. Add a new instance template update the managed instance group to use the new instance template and delete the old instance template
- D. Set the create_bef ore_destroy meta-argument to true in the lifecycle block on the instance template
正解:D
解説:
Explanation
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 # 196
Your organization is using Helm to package containerized applications Your applications reference both public and private charts Your security team flagged that using a public Helm repository as a dependency is a risk You want to manage all charts uniformly, with native access control and VPC Service Controls What should you do?
- A. Configure a Helm chart repository server to run in Google Kubernetes Engine (GKE) with Cloud Storage bucket as the storage backend
- B. Store public and private charts by using GitHub Enterprise with Google Workspace as the identity provider
- C. Store public and private charts by using Git repository Configure Cloud Build to synchronize contents of the repository into a Cloud Storage bucket Connect Helm to the bucket by using https: //
[bucket] .srorage.googleapis.com/
[holnchart] as the Helm repository - D. Store public and private charts in OCI format by using Artifact Registry
正解:D
質問 # 197
You support a large service with a well-defined Service Level Objective (SLO). The development team deploys new releases of the service multiple times a week. If a major incident causes the service to miss its SLO, you want the development team to shift its focus from working on features to improving service reliability. What should you do before a major incident occurs?
- A. Negotiate with the development team to reduce the release frequency to no more than once a week.
- B. Develop an appropriate error budget policy in cooperation with all service stakeholders.
- C. Add a plugin to your Jenkins pipeline that prevents new releases whenever your service is out of SLO.
- D. Negotiate with the product team to always prioritize service reliability over releasing new features.
正解:B
質問 # 198
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