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Professional-Cloud-DevOps-Engineer更新 & Professional-Cloud-DevOps-Engineer認證題庫
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該考試專為在雲計算,DevOps和軟件開發方面具有經驗的專業人員而設計。它涵蓋了廣泛的主題,例如基礎架構自動化,配置管理,連續集成和交付以及監視和記錄。該考試還包括使用Google Cloud Platform工具和服務的動手經驗,例如Kubernetes,Cloud Build和Cloud Monitoring。
Google Professional-Cloud-Devops-Devops-Devops-Devineer認證考試專為希望在Google Cloud平台(GCP)和DEVOPS實踐中展示其專業知識的專業人士而設計。認證考試的重點是測試候選人使用DEVOPS原則設計,開發和管理GCP解決方案的能力。該考試旨在針對具有開發和管理GCP應用程序並對DEVOPS實踐和原則有很好的了解的專業人員。
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最新的 Cloud DevOps Engineer Professional-Cloud-DevOps-Engineer 免費考試真題 (Q17-Q22):
問題 #17
You are part of an organization that follows SRE practices and principles. You are taking over the management of a new service from the Development Team, and you conduct a Production Readiness Review (PRR). After the PRR analysis phase, you determine that the service cannot currently meet its Service Level Objectives (SLOs). You want to ensure that the service can meet its SLOs in production. What should you do next?
- A. Bring the service into production with no SLOs and build them when you have collected operational data.
- B. Notify the development team that they will have to provide production support for the service.
- C. djust the SLO targets to be achievable by the service so you can bring it into production.
- D. Identify recommended reliability improvements to the service to be completed before handover.
答案:D
問題 #18
You support a high-traffic web application and want to ensure that the home page loads in a timely manner.
As a first step, you decide to implement a Service Level Indicator (SLI) to represent home page request latency with an acceptable page load time set to 100 ms. What is the Google-recommended way of calculating this SLI?
- A. Bucketize the request latencies into ranges, and then compute the median and 90th percentiles.
- B. Buckelize Ihe request latencies into ranges, and then compute the percentile at 100 ms.
- C. Count the number of home page requests that load in under 100 ms. and then divide by the total number of all web application requests.
- D. Count the number of home page requests that load in under 100 ms, and then divide by the total number of home page requests.
答案:D
解題說明:
https://sre.google/workbook/implementing-slos/
In the SRE principles book, it's recommended treating the SLI as the ratio of two numbers: the number of good events divided by the total number of events. For example: Number of successful HTTP requests / total HTTP requests (success rate)
問題 #19
A third-party application needs to have a service account key to work properly When you try to export the key from your cloud project you receive an error "The organization policy constraint larn.disableServiceAccountKeyCreation is enforcedM You need to make the third-party application work while following Google-recommended security practices What should you do?
- A. Disable the service account key creation policy at the project's folder, and download the default key
- B. Remove the iam.disableServiceAccountKeyCreation policy at the organization level, and create a key.
- C. Add a rule to set the iam.disableServiceAccountKeyCreation policy to off in your project and create a key.
- D. Enable the default service account key. and download the key
答案:C
問題 #20
You are building and deploying a microservice on Cloud Run for your organization Your service is used by many applications internally You are deploying a new release, and you need to test the new version extensively in the staging and production environments You must minimize user and developer impact. What should you do?
- A. Deploy the new version of the service to the staging environment Split the traffic, and allow 1 % of traffic through to the latest version Test the latest version If the test passes gradually roll out the latest version to the staging and production environments
- B. Deploy a new environment with the green tag to use as the staging environment Deploy the new version of the service to the green environment and test the new version If the tests pass, send all traffic to the green environment and delete the existing staging environment Repeat for the production environment
- C. Deploy the new version of the service to the staging environment with a new-release tag without serving traffic Test the new-release version If the test passes; gradually roll out this tagged version Repeat for the production environment
- D. Deploy the new version of the service to the staging environment Split the traffic, and allow 50% of traffic through to the latest version Test the latest version If the test passes, send all traffic to the latest version Repeat for the production environment
答案:C
解題說明:
The best option for deploying a new release of your microservice on Cloud Run and testing it extensively in the staging and production environments with minimal user and developer impact is to deploy the new version of the service to the staging environment with a new-release tag without serving traffic, test the new-release version, and if the test passes, gradually roll out this tagged version. A tag is a label that you can assign to a revision of your service on Cloud Run. You can use tags to create different versions of your service without affecting traffic. You can also use tags to gradually roll out traffic to a new version of your service by using traffic splitting. This way, you can test your new release extensively in both environments and minimize user and developer impact.
問題 #21
As part of your company's initiative to shift left on security, the infoSec team is asking all teams to implement guard rails on all the Google Kubernetes Engine (GKE) clusters to only allow the deployment of trusted and approved images You need to determine how to satisfy the InfoSec teams goal of shifting left on security.
What should you do?
- A. Enable Container Analysis in Artifact Registry, and check for common vulnerabilities and exposures (CVEs) in your container images
- B. Deploy Falco or Twistlock on GKE to monitor for vulnerabilities on your running Pods
- C. Configure Identity and Access Management (1AM) policies to create a least privilege model on your GKE clusters
- D. Use Binary Authorization to attest images during your CI CD pipeline
答案:D
解題說明:
Explanation
The best option for implementing guard rails on all GKE clusters to only allow the deployment of trusted and approved images is to use Binary Authorization to attest images during your CI/CD pipeline. Binary Authorization is a feature that allows you to enforce signature-based validation when deploying container images. You can use Binary Authorization to create policies that specify which images are allowed or denied in your GKE clusters. You can also use Binary Authorization to attest images during your CI/CD pipeline by using tools such as Container Analysis or third-party integrations. An attestation is a digital signature that certifies that an image meets certain criteria, such as passing vulnerability scans or code reviews. By using Binary Authorization to attest images during your CI/CD pipeline, you can ensure that only trusted and approved images are deployed to your GKE clusters.
問題 #22
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