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Google Professional-Cloud-DevOps-Engineer日本語 Exam Overview:

Certification Vendor:Google Cloud
Exam Name:Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Exam Number:Professional-Cloud-DevOps-Engineer
Certificate Validity Period:2 years
Available Languages:Japanese, English
Exam Duration:120 minutes
Exam Price:$200 (plus tax where applicable)
Exam Format:Multiple select, Multiple choice
Real Exam Qty:50-60
Passing Score:Not publicly disclosed
Related Certifications:Professional Cloud Network Engineer
Professional Cloud Developer
Professional Cloud Architect
Professional Cloud Security Engineer
Recommended Training:Professional Cloud DevOps Engineer Learning Path
Exam Guide
Exam Registration:Google Cloud Certification Registration
Sample Questions:Google Professional-Cloud-DevOps-Engineer日本語 Sample Questions
Exam Way:Online proctored (remote) or onsite proctored (testing center)
Pre Condition:No mandatory prerequisites; recommended: 3+ years industry experience, 1+ year managing production systems on Google Cloud
Official Syllabus URL:https://cloud.google.com/learn/certification/cloud-devops-engineer

Career Prospects

The Google Professional Cloud DevOps Engineer certification demonstrates your ability to efficiently perform the development operations that can balance service reliability and delivery speed. After completing the qualifying exam, you will be proficient in using Google Cloud Platform to build software delivery pipelines, deploy & monitor services, and manage incidents. This expertise will give you access to endless opportunities for career development. Immediately after getting certified, you can start a career as a Cloud DevOps Engineer. Additionally, you can apply for the related job roles, such as a DevOps Infrastructure Engineer, a Cloud Solutions Architect, a GCP Cloud Native Architect, a Google Cloud Platform Data Architect, a GCP Cloud Data Engineer, and more. The average salary that the certificate holders can earn ranges between $137,000 and $180,000 per year.

Reference: https://cloud.google.com/certification/cloud-devops-engineer

Exam Topics

To achieve good results in the Google Professional Cloud DevOps Engineer certification exam, the candidates need to develop a comprehensive understanding of its domains. The detailed outline of the topics and subtopics covered in the test is available on the official platform. Their brief overview is provided below:

  • Management of Service Incidents

    To answer the questions related to this part of the certification test, the students need to have the skills in coordinating roles and implementing the channels of communication in the course of the service incident. In addition, they need to have an understanding of how to perform the analysis of incident symptoms affecting the users. The test takers should also know how to mitigate the impact of an incident on the users. Finally, they need to have the sufficient competency in resolving issues (for example, Cloud Build, Jenkins, etc.) and documenting an issue in the postmortem.

  • Application of Site Reliability Engineering Principles to Services

    This subject area measures the skills of the professionals in ensuring healthy collaboration for operations, including preventing burnout (for example, setting up automation procedures to prevent burnout) as well as fostering a learning culture & culture of blamelessness. Besides that, the candidates need to possess the expertise in managing the service life cycle as well as balancing the service change, velocity, and reliability.

  • Implementation of Strategies for Service Monitoring

    Here the applicants will be asked to show that they have the capacity to manage the Stackdriver Logging and Stackdriver Monitoring platforms. They should also know how to manage application logs as well as application metrics using Stackdriver Monitoring. Additionally, the individuals will require the competency in implementing logging & monitoring access control.

  • Optimization of Service Performance

    Within this module, the learners need to show that they are capable of optimizing resource utilization, including determining resource costs, defining resource utilization levels, developing a plan to optimize areas of the lowest utilization/greatest cost, managing preemptible Virtual Machines, considering network pricing, and so on. They must also possess the skills in debugging application code as well as determining service performance issues.

  • Building & Implementation of CI/CD Pipelines for Services

    The second topic focuses on the ability of the examinees to manage various development environments (for instance, staging, production, etc.), manage infrastructure as code, as well as manage configuration & secrets. Moreover, the test takers are required to demonstrate their proficiency in designing & implementing CI/CD pipelines, deploying CI/CD tooling, and securing the deployment pipeline.

Google Professional-Cloud-DevOps-Engineer日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Building and implementing CI/CD pipelines25%- Implement and secure pipelines
  • 1. Manage pipeline secrets and credentials
  • 2. Automate build, test, and deployment stages
  • 3. Enforce security scanning and compliance checks
- Optimize and maintain pipelines
  • 1. Handle rollbacks and versioning
  • 2. Improve speed and reliability
  • 3. Monitor pipeline performance
- Design CI/CD pipelines
  • 1. Support hybrid/multi-cloud deployment
  • 2. Integrate artifact management
  • 3. Plan pipelines for apps, infrastructure, ML workloads
Topic 2: Applying site reliability engineering practices18%- Manage incidents and outages
  • 1. Detect and respond to issues quickly
  • 2. Perform postmortems and root cause analysis
  • 3. Implement improvements to prevent recurrence
- Design for resilience
  • 1. Plan redundancy and fault tolerance
  • 2. Test failure scenarios and recovery
  • 3. Automate remediation and self-healing
- Define reliability goals
  • 1. Use error budgets to balance change and stability
  • 2. Align reliability with business needs
  • 3. Establish SLIs, SLOs, SLAs
Topic 3: Implementing observability and troubleshooting20%- Optimize observability strategy
  • 1. Integrate observability into development
  • 2. Scale monitoring for large environments
  • 3. Reduce noise and prioritize signals
- Build monitoring and logging systems
  • 1. Use Cloud Monitoring, Cloud Logging, Cloud Trace
  • 2. Create dashboards and alerts
  • 3. Collect and analyze metrics, logs, traces
- Troubleshoot complex issues
  • 1. Analyze performance and latency
  • 2. Isolate problems across layers
  • 3. Trace requests end-to-end
Topic 4: Bootstrapping and maintaining a Google Cloud organization20%- Set up governance and compliance
  • 1. Manage resource quotas and limits
  • 2. Configure audit logging and monitoring
  • 3. Implement organization policies
- Design resource hierarchy
  • 1. Organize resources by project/folder/application
  • 2. Plan shared networking and connectivity
  • 3. Define IAM policies and access control
- Manage configuration and deployment
  • 1. Automate resource provisioning
  • 2. Enforce consistency across environments
  • 3. Use Infrastructure as Code tools
Topic 5: Optimizing performance and cost17%- Apply FinOps practices
  • 1. Use spot instances and committed use discounts
  • 2. Right-size resources and eliminate waste
  • 3. Monitor and analyze cloud costs
- Balance cost, performance, and reliability
  • 1. Plan capacity and scaling
  • 2. Optimize over time
  • 3. Make tradeoff decisions based on data
- Improve system performance
  • 1. Tune applications and infrastructure
  • 2. Optimize resource allocation
  • 3. Use caching and content delivery

Google Cloud Certified - Professional Cloud DevOps Engineer Exam (Professional-Cloud-DevOps-Engineer日本語版) Sample Questions:

Question #1

あなたの会社では、GitOps 手法に従ってデプロイされたアプリケーションを Google Kubernetes Engine (GKE) で実行しています。
アプリケーション開発者は、アプリケーションをサポートするためにクラウド リソースを頻繁に作成します。Google が推奨するプラクティスに確実に準拠しながら、開発者がインフラストラクチャをコードとして管理できるようにしたいと考えています。構成のドリフトを避けるために、コードとしてのインフラストラクチャーが定期的に調整されるようにする必要があります。
あなたは何をするべきか?

  • A. Terraform docker イメージを使用してジョブ リソースを作成し、terraform plan および terraform apply コマンドを実行します。
  • B. Google Kubernetes Engine (GKE) に Config Connector をインストールして構成します。
  • C. Terraform ビルダーを使用して Cloud Build を構成し、計画を実行してコマンドを適用します。
  • D. Terraform plan および terraform apply コマンドを実行するために、Terraform docker イメージを使用してポッド リソースを作成します。
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #2

あなたは、ユーザーが Web アプリケーションの新機能を好むかどうかを確認する実験を実行しています。この機能をカナリア リリースとしてデプロイした直後に、ユーザーに送信される 500 エラーの数が急増し、監視レポートには遅延の増加が示されます。ユーザーへの悪影響を迅速に最小限に抑えたいと考えています。まず何をすべきでしょうか?

  • A. 遅延、トラフィック、エラー、飽和の監視を開始します。
  • B. 500 エラーの原因と遅延増加の根本原因を追跡します。
  • C. 試験的なカナリア リリースをロールバックします。
  • D. 事件の事後文書のデータを記録します。
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #3

重要なユーザー向け決済サービスで問題が発生しているという、優先度の高いインシデントに対応しています。
エラー率は50%です。原因は、重要度の低いバッチ分析Dataflowパイプラインが共有Memorystore for Redisインスタンスに大量の書き込みを集中させ、決済サービスの読み取りレイテンシが急上昇していることです。Dataflowパイプラインのデプロイメントを完全にロールバックするには、CI/CDプロセスで完了するまでに15分かかります。決済サービスをできるだけ早く復旧する必要があります。どうすればよいでしょうか?

  • A. Dataflow パイプラインのデプロイメントの自動ロールバックを開始して、最後の安定バージョンに戻します。
  • B. アクティブなデータフロー ジョブをキャンセルします。
  • C. Cloud Profiler を使用して Dataflow パイプラインの実行グラフを検査し、過剰な書き込みの原因を特定します。
  • D. Google Cloud コンソールで、Memorystore for Redis インスタンスを編集し、容量階層を増やします。
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #4

貴社では本番環境システムをGoogle Cloudに移行中です。将来起こり得るインシデントによる顧客への影響を最小限に抑えるため、移行期間中はサイト信頼性エンジニアリング(SRE)のプラクティスを実装する必要があります。実装すべきSREプラクティスを2つ挙げてください。
2つの回答を選択してください

  • A. システムの内部動作に基づいて、SRE チーム向けのアラート メカニズムを作成します。
  • B. 完全な自律性と権限がオンコール チームにのみ付与されるようにします。
  • C. 一般的なタスクを自動化して主要な影響情報を分析し、オンコール チームに緩和アクションをインテリジェントに提案します。
  • D. 問題のデバッグと軽減の手順を記載した最新のプレイブックを作成します。
  • E. すべてのチームが本番環境を変更して問題を解決できるようにします。
Reveal Solution  Discussion  0

Correct Answer: C,D  🗳️

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Question #5

CIパイプラインを設定しています。CIパイプラインの統合テストのビルドステップでは、プライベートVPCネットワーク内のAPIへのアクセスが必要です。セキュリティチームから、APIトラフィックを公開しないように要求されています。管理オーバーヘッドを最小限に抑えるソリューションを実装する必要があります。どうすればよいでしょうか?

  • A. Cloud Build プライベート プールを使用してプライベート VPC に接続します。
  • B. Cloud Build を使用して、プライベート VPC に Compute Engine インスタンスを作成します。起動スクリプトを使用して、VM 上で統合テストを実行します。
  • C. Cloud Build をパイプライン ランナーとして使用します。API アクセス用にクロスリージョン内部 Application Load Balancer を構成します。
  • D. Cloud Build をパイプラインランナーとして使用します。API アクセス用の Google Cloud Armor ポリシーを使用して、グローバル外部アプリケーション ロードバランサを構成します。
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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