Professional-Cloud-DevOps-Engineer対応内容、Professional-Cloud-DevOps-Engineer認定内容

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Google Professional-Cloud-DevOps-Engineer（Google Cloud Certified - Professional Cloud DevOps Engineer）認定試験は、テクノロジー業界で非常に求められる認定試験です。この認定試験は、クラウドベースのアプリケーション、サービス、インフラストラクチャの開発、展開、管理に関与する専門家を対象としています。この試験は、クラウドアーキテクチャ、自動化、セキュリティ、コンプライアンス、監視など、様々な領域での候補者の知識とスキルをテストするよう設計されています。

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Google Professional-Cloud-DevOps-Engineer 認定試験の出題範囲：

トピック	出題範囲
トピック 1	Applying site reliability engineering practices to a service: It deals with velocity, and reliability of the service, service lifecycle, healthy communication, and collaboration for operations. The topic also discusses mitigation of incident impact on users and conducting a postmortem.
トピック 2	Building and implementing CI CD pipelines for a service: Management and designing of CI CD pipelines, implementation of CI CD pipelines, management of CI CD configuration, and secrets are discussed in this paper. Moreover, it focuses on storage methods and key rotation services, and finally securing the CI CD deployment pipeline.
トピック 3	Implementing service monitoring strategies: This topic covers structured and unstructured logs from Compute Engine, GKE, and serverless platforms using Cloud Logging. Its sub-topics include coverage of metrics with Cloud Monitoring, dashboards and alerts in Cloud Monitoring, Cloud Logging platform, and logging and monitoring access controls.
トピック 4	Optimizing the service performance: It delves into the identification of service performance issues, implementation of debugging tools in Google Cloud, and optimization of resource utilization and costs.
トピック 5	Bootstrapping a Google Cloud organization for DevOps: It discusses the overall resource hierarchy for an organization, infrastructure as code, CI CD architecture stack in Google Cloud, hybrid, and multi-cloud environments. Moreover, the topic focuses on multiple environments including staging and production.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q153-Q158):

質問 # 153
You are on-call for an infrastructure service that has a large number of dependent systems. You receive an alert indicating that the service is failing to serve most of its requests and all of its dependent systems with hundreds of thousands of users are affected. As part of your Site Reliability Engineering (SRE) incident management protocol, you declare yourself Incident Commander (IC) and pull in two experienced people from your team as Operations Lead (OLJ and Communications Lead (CL). What should you do next?

A. Start a postmortem, add incident information, circulate the draft internally, and ask internal stakeholders for input.
B. Contact the affected service owners and update them on the status of the incident.
C. Establish a communication channel where incident responders and leads can communicate with each other.
D. Look for ways to mitigate user impact and deploy the mitigations to production.

正解：D

解説：
https://sre.google/sre-book/managing-incidents/

質問 # 154
You are responsible for creating and modifying the Terraform templates that define your Infrastructure. Because two new engineers will also be working on the same code, you need to define a process and adopt a tool that will prevent you from overwriting each other's code. You also want to ensure that you capture all updates in the latest version. What should you do?

A. * Store your code in a Git-based version control system.
* Establish a process that includes code reviews by peers and unit testing to ensure integrity and functionality before integration of code.
* Establish a process where the fully integrated code in the repository becomes the latest master version.
B. * Store your code as text files in Google Drive in a defined folder structure that organizes the files.
* At the end of each day. confirm that all changes have been captured in the files within the folder structure.
* Rename the folder structure with a predefined naming convention that increments the version.
C. * Store your code in a Git-based version control system.
* Establish a process that allows developers to merge their own changes at the end of each day.
* Package and upload code lo a versioned Cloud Storage bucket as the latest master version.
D. * Store your code as text files in Google Drive in a defined folder structure that organizes the files.
* At the end of each day, confirm that all changes have been captured in the files within the folder structure and create a new .zip archive with a predefined naming convention.
* Upload the .zip archive to a versioned Cloud Storage bucket and accept it as the latest version.

正解：C

質問 # 155
You need to reduce the cost of virtual machines (VM| for your organization. After reviewing different options, you decide to leverage preemptible VM instances. Which application is suitable for preemptible VMs?

A. The organization's public-facing website
B. A GPU-accelerated video rendering platform that retrieves and stores videos in a storage bucket
C. A distributed, eventually consistent NoSQL database cluster with sufficient quorum
D. A scalable in-memory caching system

正解：B

質問 # 156
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. Add a plugin to your Jenkins pipeline that prevents new releases whenever your service is out of SLO.
B. Negotiate with the development team to reduce the release frequency to no more than once a week.
C. Negotiate with the product team to always prioritize service reliability over releasing new features.
D. Develop an appropriate error budget policy in cooperation with all service stakeholders.

正解：D

解説：
Reason : Incident has not occurred yet, even when development team is already pushing new features multiple times a week. The option A says, to define an error budget "policy", not to define error budget(It is already present). Just simple means to bring in all stakeholders, and decide how to consume the error budget effectively that could bring balance between feature deployment and reliability.
The goals of this policy are to: -- Protect customers from repeated SLO misses -- Provide an incentive to balance reliability with other features https://sre.google/workbook/error-budget-policy/

質問 # 157
You use Cloud Build to build your application. You want to reduce the build time while minimizing cost and development effort. What should you do?

A. Run multiple Jenkins agents to parallelize the build.
B. Use multiple smaller build steps to minimize execution time.
C. Use larger Cloud Build virtual machines (VMs) by using the machine-type option.
D. Use Cloud Storage to cache intermediate artifacts.

正解：B

解説：
Explanation
https://cloud.google.com/storage/docs/best-practices
https://cloud.google.com/build/docs/speeding-up-builds#caching_directories_with_google_cloud_storage Caching directories with Google Cloud Storage To increase the speed of a build, reuse the results from a previous build. You can copy the results of a previous build to a Google Cloud Storage bucket, use the results for faster calculation, and then copy the new results back to the bucket. Use this method when your build takes a long time and produces a small number of files that does not take time to copy to and from Google Cloud Storage.
upvoted 2 times

質問 # 158
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Professional-Cloud-DevOps-Engineer対応内容、Professional-Cloud-DevOps-Engineer認定内容

公認されたGoogle Professional-Cloud-DevOps-Engineer対応内容 インタラクティブテストエンジンを使用して & よくできたProfessional-Cloud-DevOps-Engineer認定内容

Google Professional-Cloud-DevOps-Engineer 認定試験の出題範囲：

Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q153-Q158):

公認されたGoogle Professional-Cloud-DevOps-Engineer対応内容インタラクティブテストエンジンを使用して & よくできたProfessional-Cloud-DevOps-Engineer認定内容