Professional-Cloud-DevOps-Engineer資格認定試験 & Professional-Cloud-DevOps-Engineer合格受験記
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Google Professional-Cloud-DevOps-Engineer認定試験は、GCPサービスとツールに深い理解が必要な難しい試験です。試験は複数選択式の問題で構成され、候補者は特定の時間枠内で回答する必要があります。認定試験はGoogleによって実施され、合格点を取得する必要があります。
Google Professional-Cloud-Devops-Engineer認定試験の資格を得るには、候補者は、DevOpsエンジニアリングの役割で少なくとも3年間の経験があり、Google Cloudを使用して最低1年の経験が必要です。候補者は、PythonやBashなどのスクリプト言語の経験と同様に、ソフトウェア開発の原則と実践を確実に理解することも期待されています。
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最新のProfessional-Cloud-DevOps-Engineer|権威のあるProfessional-Cloud-DevOps-Engineer資格認定試験試験|試験の準備方法Google Cloud Certified - Professional Cloud DevOps Engineer Exam合格受験記
Professional-Cloud-DevOps-Engineer試験の復習が大変ですから、我々はあなたのような受験者の負担を少なくするために、皆様に全面的なProfessional-Cloud-DevOps-Engineer資料を提供します。だから、我々の専門家たちは努力に過去のデータを整理して分析してから、数年以来の研究を通して、現在の質量高いProfessional-Cloud-DevOps-Engineer参考書を開発しています。お客様は安心で試験を準備すればよろしいです。
Google Professional-Cloud-DevOps-Engineerの認定を取得することは、候補者がGoogle Cloud Platform上でクラウドネイティブのDevOpsプラクティスをリードし管理するための知識とスキルを持っていることを示しています。この認定は、Google Cloud Platform上でアプリケーションを展開する責任があるDevOpsエンジニア、サイト信頼性エンジニア、システム管理者、またはソフトウェアエンジニアとして働く専門家に最適です。この認定は、DevOpsプラクティスをGoogle Cloud Platform上で管理する専門家であることを証明したいITマネージャーにも適しています。
Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q23-Q28):
質問 # 23
You support a popular mobile game application deployed on Google Kubernetes Engine (GKE) across several Google Cloud regions. Each region has multiple Kubernetes clusters. You receive a report that none of the users in a specific region can connect to the application. You want to resolve the incident while following Site Reliability Engineering practices. What should you do first?
- A. Reroute the user traffic from the affected region to other regions that don't report issues.
- B. Use Stackdriver Monitoring to check for a spike in CPU or memory usage for the affected region.
- C. Use Stackdriver Logging to filter on the clusters in the affected region, and inspect error messages in the logs.
- D. Add an extra node pool that consists of high memory and high CPU machine type instances to the cluster.
正解:A
解説:
Explanation
Google always aims to first stop the impact of an incident, and then find the root cause (unless the root cause just happens to be identified early on).
質問 # 24
Your organization stores all application logs from multiple Google Cloud projects in a central Cloud Logging project. Your security team wants to enforce a rule that each project team can only view their respective logs, and only the operations team can view all the logs. You need to design a solution that meets the security team's requirements, while minimizing costs. What should you do?
- A. Create Identity and Access Management (IAM) roles for each project team and restrict access to the _ Default log view in their individual Google Cloud project. Grant viewer access to the operations team in the central logging project.
- B. Create log views for each project team, and only show each project team their application logs. Grant the operations team access to the _ Al Il-jogs View in the central logging project.
- C. Export logs to BigQuery tables for each project team. Grant project teams access to their tables. Grant logs writer access to the operations team in the central logging project.
- D. Grant each project team access to the project _ Default view in the central logging project. Grant logging viewer access to the operations team in the central logging project.
正解:B
解説:
Create log views for each project team, and only show each project team their application logs. Grant the operations team access to the _AllLogs View in the central logging project1.
This approach aligns with the Google Cloud's recommended methodologies for Professional Cloud DevOps Engineers1. Log views allow you to create and manage access control at a finer granularity for your logs. By creating a separate log view for each project team, you can ensure that they only have access to their respective logs. The operations team, on the other hand, can be granted access to the _AllLogs view in the central logging project, allowing them to view all logs as required.
This solution not only meets the security team's requirements but also minimizes costs as it leverages built-in features of Google Cloud's logging and does not require exporting logs to another service like BigQuery (as suggested in option A), which could incur additional costs1.
質問 # 25
You want to share a Cloud Monitoring custom dashboard with a partner team What should you do?
- A. Export the metrics to BigQuery Use Looker Studio to create a dashboard, and share the dashboard with the partner team
- B. Copy the Monitoring Query Language (MQL) query from the dashboard; and send the MQL query to the partner team
- C. Provide the partner team with the dashboard URL to enable the partner team to create a copy of the dashboard
- D. Download the JSON definition of the dashboard, and send the JSON file to the partner team
正解:C
解説:
Explanation
The best option for sharing a Cloud Monitoring custom dashboard with a partner team is to provide the partner team with the dashboard URL to enable the partner team to create a copy of the dashboard. A Cloud Monitoring custom dashboard is a dashboard that allows you to create and customize charts and widgets to display metrics, logs, and traces from your Google Cloud resources and applications. You can share a custom dashboard with a partner team by providing them with the dashboard URL, which is a link that allows them to view the dashboard in their browser. The partner team can then create a copy of the dashboard in their own project by using the Copy Dashboard option. This way, they can access and modify the dashboard without affecting the original one.
質問 # 26
You are currently planning how to display Cloud Monitoring metrics for your organization's Google Cloud projects. Your organization has three folders and six projects:
You want to configure Cloud Monitoring dashboards lo only display metrics from the projects within one folder You need to ensure that the dashboards do not display metrics from projects in the other folders You want to follow Google-recommended practices What should you do?
- A. Create a single new scoping project
- B. Use the current app-one-prod project as the scoping project
- C. Create new scoping projects for each folder
- D. Use the current app-one-dev, app-one-staging and app-one-prod projects as the scoping project for each folder
正解:A
解説:
The best option for configuring Cloud Monitoring dashboards to only display metrics from the projects within one folder is to create new scoping projects for each folder. A scoping project is a project that defines which resources are monitored by Cloud Monitoring. You can create new scoping projects for each folder by using the gcloud monitoring register-project command. This way, you can associate each scoping project with a folder and only monitor the resources within that folder. You can then configure Cloud Monitoring dashboards to use the scoping projects as data sources and only display metrics from the projects within one folder.
質問 # 27
You support a service with a well-defined Service Level Objective (SLO). Over the previous 6 months, your service has consistently met its SLO and customer satisfaction has been consistently high. Most of your service's operations tasks are automated and few repetitive tasks occur frequently. You want to optimize the balance between reliability and deployment velocity while following site reliability engineering best practices.
What should you do? (Choose two.)
- A. Make the service's SLO more strict.
- B. Shift engineering time to other services that need more reliability.
- C. Change the implementation of your Service Level Indicators (SLIs) to increase coverage.
- D. Increase the service's deployment velocity and/or risk.
- E. Get the product team to prioritize reliability work over new features.
正解:B、D
解説:
(https://sre.google/workbook/implementing-slos/#slo-decision-matrix)
質問 # 28
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