最新なGoogle Professional-Cloud-DevOps-Engineer問題集(166題)、真実試験の問題を全部にカバー!

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  • 試験コード:Professional-Cloud-DevOps-Engineer
  • 試験名称:Google Cloud Certified - Professional Cloud DevOps Engineer Exam
  • 問題数:166 問題と回答
  • 最近更新時間:2024-04-25
  • PDF版 Demo
  • PC ソフト版 Demo
  • オンライン版 Demo
  • 価格:12900.00 5999.00  
質問 1:
Your team uses Cloud Build for all CI/CO pipelines. You want to use the kubectl builder for Cloud Build to deploy new images to Google Kubernetes Engine (GKE). You need to authenticate to GKE while minimizing development effort. What should you do?
A. Assign the Container Developer role to the Cloud Build service account.
B. Create a separate step in Cloud Build to retrieve service account credentials and pass these to kubectl.
C. Specify the Container Developer role for Cloud Build in the cloudbuild.yaml file.
D. Create a new service account with the Container Developer role and use it to run Cloud Build.
正解:A
解説: (Pass4Test メンバーにのみ表示されます)

質問 2:
You are deploying an application that needs to access sensitive information. You need to ensure that this information is encrypted and the risk of exposure is minimal if a breach occurs. What should you do?
A. Inject the secret at the time of instance creation via an encrypted configuration management system.
B. Store the encryption keys in Cloud Key Management Service (KMS) and rotate the keys frequently
C. Integrate the application with a Single sign-on (SSO) system and do not expose secrets to the application
D. Leverage a continuous build pipeline that produces multiple versions of the secret for each instance of the application.
正解:B
解説: (Pass4Test メンバーにのみ表示されます)

質問 3:
You need to define Service Level Objectives (SLOs) for a high-traffic multi-region web application. Customers expect the application to always be available and have fast response times. Customers are currently happy with the application performance and availability. Based on current measurement, you observe that the 90th percentile of latency is 120ms and the 95th percentile of latency is 275ms over a 28-day window. What latency SLO would you recommend to the team to publish?
A. 90th percentile - 150ms
95th percentile - 300ms
B. 90th percentile - 120ms
95th percentile - 275ms
C. 90th percentile - 250ms
95th percentile - 400ms
D. 90th percentile - 100ms
95th percentile - 250ms
正解:A
解説: (Pass4Test メンバーにのみ表示されます)

質問 4:
Your team is building a service that performs compute-heavy processing on batches of data The data is processed faster based on the speed and number of CPUs on the machine These batches of data vary in size and may arrive at any time from multiple third-party sources You need to ensure that third parties are able to upload their data securely. You want to minimize costs while ensuring that the data is processed as quickly as possible What should you do?
A. * Provide a Cloud Storage bucket so that third parties can upload batches of data, and provide appropriate Identity and Access Management (1AM) access to the bucket
* Use a standard Google Kubernetes Engine (GKE) cluster and maintain two services one that processes the batches of data and one that monitors Cloud Storage for new batches of data
* Stop the processing service when there are no batches of data to process
B. * Provide a Cloud Storage bucket so that third parties can upload batches of data, and provide appropriate Identity and Access Management (1AM) access to the bucket
* Use Cloud Monitoring to detect new batches of data in the bucket and trigger a Cloud Function that processes the data
* Set a Cloud Function to use the largest CPU possible to minimize the runtime of the processing
C. * Provide a secure file transfer protocol (SFTP) server on a Compute Engine instance so that third parties can upload batches of data and provide appropriate credentials to the server
* Create a Cloud Function with a google.storage, object, finalize Cloud Storage trigger Write code so that the function can scale up a Compute Engine autoscaling managed instance group
* Use an image pre-loaded with the data processing software that terminates the instances when processing completes
D. * Provide a Cloud Storage bucket so that third parties can upload batches of data, and provide appropriate identity and Access Management (1AM) access to the bucket
* Create a Cloud Function with a google, storage, object .finalise Cloud Storage trigger Write code so that the function can scale up a Compute Engine autoscaling managed instance group
* Use an image pre-loaded with the data processing software that terminates the instances when processing completes
正解:D
解説: (Pass4Test メンバーにのみ表示されます)

質問 5:
You are configuring the frontend tier of an application deployed in Google Cloud The frontend tier is hosted in ngmx and deployed using a managed instance group with an Envoy-based external HTTP(S) load balancer in front The application is deployed entirely within the europe-west2 region: and only serves users based in the United Kingdom. You need to choose the most cost-effective network tier and load balancing configuration What should you use?
A. Standard Tier with a global load balancer
B. Standard Tier with a regional load balancer
C. Premium Tier with a regional load balancer
D. Premium Tier with a global load balancer
正解:C
解説: (Pass4Test メンバーにのみ表示されます)

質問 6:
Your team has recently deployed an NGINX-based application into Google Kubernetes Engine (GKE) and has exposed it to the public via an HTTP Google Cloud Load Balancer (GCLB) ingress. You want to scale the deployment of the application's frontend using an appropriate Service Level Indicator (SLI). What should you do?
A. Expose the NGINX stats endpoint and configure the horizontal pod autoscaler to use the request metrics exposed by the NGINX deployment.
B. Configure the horizontal pod autoscaler to use the average response time from the Liveness and Readiness probes.
C. Install the Stackdriver custom metrics adapter and configure a horizontal pod autoscaler to use the number of requests provided by the GCLB.
D. Configure the vertical pod autoscaler in GKE and enable the cluster autoscaler to scale the cluster as pods expand.
正解:C
解説: (Pass4Test メンバーにのみ表示されます)

質問 7:
You are running an application on Compute Engine and collecting logs through Stackdriver. You discover that some personally identifiable information (Pll) is leaking into certain log entry fields. All Pll entries begin with the text userinfo. You want to capture these log entries in a secure location for later review and prevent them from leaking to Stackdriver Logging. What should you do?
A. Use a Fluentd filter plugin with the Stackdriver Agent to remove log entries containing userinfo, and then copy the entries to a Cloud Storage bucket.
B. Use a Fluentd filter plugin with the Stackdriver Agent to remove log entries containing userinfo, create an advanced log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.
C. Create an advanced log filter matching userinfo, configure a log export in the Stackdriver console with Cloud Storage as a sink, and then configure a tog exclusion with userinfo as a filter.
D. Create a basic log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.
正解:A
解説: (Pass4Test メンバーにのみ表示されます)

質問 8:
You created a Stackdriver chart for CPU utilization in a dashboard within your workspace project. You want to share the chart with your Site Reliability Engineering (SRE) team only. You want to ensure you follow the principle of least privilege. What should you do?
A. Share the workspace Project ID with the SRE team. Assign the SRE team the Monitoring Viewer IAM role in the workspace project.
B. Share the workspace Project ID with the SRE team. Assign the SRE team the Dashboard Viewer IAM role in the workspace project.
C. Click "Share chart by URL" and provide the URL to the SRE team. Assign the SRE team the Dashboard Viewer IAM role in the workspace project.
D. Click "Share chart by URL" and provide the URL to the SRE team. Assign the SRE team the Monitoring Viewer IAM role in the workspace project.
正解:D
解説: (Pass4Test メンバーにのみ表示されます)

質問 9:
You are configuring Cloud Logging for a new application that runs on a Compute Engine instance with a public IP address.
A user-managed service account is attached to the instance.
You confirmed that the necessary agents are running on the instance but you cannot see any log entries from the instance in Cloud Logging. You want to resolve the issue by following Google-recommended practices.
What should you do?
A. Enable Private Google Access on the subnet that the instance is in.
B. Add the Logs Writer role to the service account.
C. Export the service account key and configure the agents to use the key.
D. Update the instance to use the default Compute Engine service account.
正解:B
解説: (Pass4Test メンバーにのみ表示されます)

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Google Cloud Certified - Professional Cloud DevOps Engineer 認定 Professional-Cloud-DevOps-Engineer 試験問題:

1. You are deploying a Cloud Build job that deploys Terraform code when a Git branch is updated. While testing, you noticed that the job fails. You see the following error in the build logs:
Initializing the backend. ..
Error: Failed to get existing workspaces : querying Cloud Storage failed: googleapi : Error
403
You need to resolve the issue by following Google-recommended practices. What should you do?

A) Grant the roles/ storage. objectAdmin Identity and Access Management (IAM) role to the Cloud Build service account on the state file bucket.
B) Change the Terraform code to use local state.
C) Grant the roles/ owner Identity and Access Management (IAM) role to the Cloud Build service account on the project.
D) Create a storage bucket with the name specified in the Terraform configuration.


2. You support a high-traffic web application with a microservice architecture. The home page of the application displays multiple widgets containing content such as the current weather, stock prices, and news headlines. The main serving thread makes a call to a dedicated microservice for each widget and then lays out the homepage for the user. The microservices occasionally fail; when that happens, the serving thread serves the homepage with some missing content. Users of the application are unhappy if this degraded mode occurs too frequently, but they would rather have some content served instead of no content at all. You want to set a Service Level Objective (SLO) to ensure that the user experience does not degrade too much. What Service Level Indicator {SLI) should you use to measure this?

A) A latency SLI: the ratio of microservice calls that complete in under 100 ms to the total number of microservice calls
B) An availability SLI: the ratio of healthy microservices to the total number of microservices
C) A quality SLI: the ratio of non-degraded responses to total responses
D) A freshness SLI: the proportion of widgets that have been updated within the last 10 minutes


3. You are developing reusable infrastructure as code modules. Each module contains integration tests that launch the module in a test project. You are using GitHub for source control. You need to Continuously test your feature branch and ensure that all code is tested before changes are accepted. You need to implement a solution to automate the integration tests. What should you do?

A) Use Cloud Build to run tests in a specific folder. Trigger Cloud Build for every GitHub pull request.
B) Ask the pull request reviewers to run the integration tests before approving the code.
C) Use Cloud Build to run the tests. Trigger all tests to run after a pull request is merged.
D) Use a Jenkins server for Cl/CD pipelines. Periodically run all tests in the feature branch.


4. 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. Install a Git hook to require developers to run unit tests before pushing the code to a central repository
2. Trigger Cloud Build to build the application container Deploy the application container to a testing environment, and run integration tests
3. If the integration tests are successful deploy the application container to your production environment. and run acceptance tests
B) 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 tests
3. If all tests are successful the pipeline deploys the application to the production environment and runs smoke tests
C) 1. Install a Git hook to require developers to run unit tests before pushing the code to a central repository If all tests are successful build a container
2. Trigger Cloud Build to deploy the application container to a testing environment, and run integration tests and acceptance tests
3. 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
D) 1. Trigger Cloud Build to build the application container and run unit tests with the container
2. If unit tests are successful, deploy the application container to a testing environment, and run integration tests
3. If the integration tests are successful the pipeline deploys the application container to the production environment After that, run acceptance tests


5. You use Cloud Build to build and deploy your application. You want to securely incorporate database credentials and other application secrets into the build pipeline. You also want to minimize the development effort. What should you do?

A) Create a Cloud Storage bucket and use the built-in encryption at rest. Store the secrets in the bucket and grant Cloud Build access to the bucket.
B) Use client-side encryption to encrypt the secrets and store them in a Cloud Storage bucket. Store a decryption key in the bucket and grant Cloud Build access to the bucket.
C) Use Cloud Key Management Service (Cloud KMS) to encrypt the secrets and include them in your Cloud Build deployment configuration. Grant Cloud Build access to the KeyRing.
D) Encrypt the secrets and store them in the application repository. Store a decryption key in a separate repository and grant Cloud Build access to the repository.


質問と回答:

質問 # 1
正解: A
質問 # 2
正解: B
質問 # 3
正解: A
質問 # 4
正解: B
質問 # 5
正解: C

870 お客様のコメント最新のコメント

Aoki - 

本当に試験対策になっていて、試験に出てくる問題はほぼこの問題集にも出てました。試験の内容がほぼ問題集の内容に一致していてびっくりしました。スムーズにかけたし、合格することもできました。

小松** - 

持ち歩きは面倒というのであれば、全ページが電子化されているので、PDFファイルでダウンロードすることもできるところが大好きです。Pass4Testさんだいちゅき

Kimura - 

Professional-Cloud-DevOps-Engineer試験問題集の的中率は高いで、とても有効的な資料です。今度、Professional-Cloud-DevOps-Engineer試験に合格しました。ありがとう!

Nakagawa - 

必ず合格したい場合は細かな部分まで網羅してあるProfessional-Cloud-DevOps-Engineer問題集

来栖** - 

先日Professional-Cloud-DevOps-Engineerの参考書を購入し、これだけで受かりました。
時間も残し、余裕でした。試験合格ならこの問題集は十分です。お薦めします。
ありがとうございました。

Yamahara - 

本日試験を終えて無事合格しました。このProfessional-Cloud-DevOps-Engineer問題集で充分、模擬試験をやってれば楽勝だと思います。
サポートしてくれてありがとうございました。

Tsutsumi - 

各項の注目点と基本的な考え方が分かりやすい内容だ。Pass4Testお世話になりました。

有沢** - 

アプリ版も付いているので移動時の勉強にも最適効率的な学習がしやすい

寺岛** - 

問題集を勉強すれば、高得点も可能ではないでしょうか。Professional-Cloud-DevOps-Engineerに関心のある方はおすすめの本です。

片冈** - 

私は1日4時間を3日で合格できました。(ぎりぎりでしたが……一応合格なので…笑)試験は暗記が勝負のところがあるので、そこは少し手間かもしれません。

堀口** - 

試験見事合格することができました。確かに高的中率でした。
次はProfessional-Cloud-DevOps-Engineerも貴社の問題集でがんばって、資格を取りたいと思います。今後ともよろしくお願いします。

星野** - 

問題の合致率は9割程度でした、感心しました。本格的なProfessional-Cloud-DevOps-Engineer問題も掲載されてるし、。ありがとうございました。

叶和** - 

Pass4Testのこの問題集だけで合格できました。試験の内容がこの問題集にもあってびっくりしました。それのお陰で高得点です。就職上手くいけそう。すごくいいです。Professional-Cloud-DevOps-Engineerに合格できました。

Asahina - 

知識は勉強してからチャレンジもあります。
いちばんやさしいITパスポートで学習してからがちょうどくらいだと思います。

藤崎** - 

Pass4Testは様々な工夫がなされており、Professional-Cloud-DevOps-Engineer合格者の思考力が身に付く。

Ogura - 

Pass4Testに感謝しかないです。Professional-Cloud-DevOps-Engineerにやっと再受験して合格だよ!!早速次に受験したいAssociate-Cloud-Engineerの問題集を購入させていただきました。今回もいい結果が出そう。

Teramoto - 

Professional-Cloud-DevOps-Engineerに苦手意識があるかたでも読みやすいです。
Pass4Testさん、試験に合格できました。本当に助けになりました。

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