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Updated: Oct 23, 2026

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CCIE to Google Cloud DevOps Engineer Google cloud DevOps engineer practice exam Google Cloud documentation Google Cloud solutions

Audience for This Certification Exam

The target audience for the Google Professional Cloud DevOps Engineer test is formed of those individuals who want to learn how they can develop efficient operations and find a balance between the speed in delivering services and its reliability. Also, the candidates who are interested in taking this evaluation want to validate their skills in using the Google Cloud Platform at a professional level. Therefore, thanks to such an exam, applicants will learn how to develop pipelines related to software delivery, as well as become experts at monitoring and deploying services, together with managing and learning from them.

Domains Tested in Final Evaluation

The candidates who succeed in passing the Google Professional Cloud DevOps Engineer validation will add an international designation under their belt that helps them consolidate their position in the company and receive generous offers from their employers. So, if applicants want to differentiate themselves from other colleagues, they should demonstrate the following skills:

  • Identifying issues related to service performance and implementing solutions to optimize it;
  • Identifying the most effective principles related to site reliability engineering and applying them to a definite service;
  • Checking and implementing strategies related to service monitoring;
  • Implementing and building CI/CD service pipelines;
  • Coordinating teams to identify and manage incidents related to service development.

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

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
Exam Duration:120 minutes
Related Certifications:Professional Cloud Developer
Professional Cloud Network Engineer
Professional Cloud Architect
Professional Cloud Security Engineer
Passing Score:Not publicly disclosed
Available Languages:Japanese, English
Exam Price:$200 (plus tax where applicable)
Real Exam Qty:50-60
Exam Format:Multiple select, Multiple choice
Certificate Validity Period:2 years
Recommended Training:Exam Guide
Professional Cloud DevOps Engineer Learning Path
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

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

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

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

Question #1

Cloud Run アプリケーションは、非構造化ログをテキスト文字列として Cloud Logging に書き込みます。非構造化ログを JSON ベースの構造化ログに変換したいと考えています。あなたは何をするべきか?

  • A. Cloud Logging ソフトウェア開発キット (SDK) を使用するようにアプリケーションを変更し、jsonPay10ad フィールドを含むログエントリを送信します。
  • B. A Fluent Bit サイドカー コンテナーをインストールし、JSON パーサーを使用します。
  • C. ログ テキスト ペイロードを JSON ペイロードに変換するようにログ エージェントを構成します。
  • D. Cloud Run コンテナ イメージにログ エージェントをインストールし、ログ エージェントを使用してログを Cloud Logging に転送します。
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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

Correct Answer: D  🗳️

Question #3

Jenkins を使用して CI/CD パイプラインをオーケストレーションし、アプリケーションを GKE とオンプレミスの VM にデプロイしています。オンプレミス インフラストラクチャを拡張した後、すべてのリソース使用率は正常ですが、オンプレミス デプロイメントの開始に予想よりも時間がかかっていることがわかりました。オンプレミス デプロイメントの開始を加速する必要があります。どうすればよいでしょうか。

  • A. オンプレミスの VM をアップグレードして、CPU を高速化し、メモリを増やします。
  • B. オンプレミスの VM にブルーグリーン デプロイ戦略を実装します。
  • C. オンプレミス環境でアーティファクト リポジトリを使用するように Jenkins を構成します。
  • D. Jenkins 実行スレッドの数を増やします。
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #4

顧客向けに新しいマルチテナント Google Kubernetes Engine(GKE)クラスタを設計しています。顧客は、長期間有効な認証情報の使用に伴うリスクを懸念しています。顧客は、各 GKE ワークロードに、最小権限の原則(PoLP)に従って最小限の Identity and Access Management(IAM)権限を設定することを要求しています。Google が推奨するプラクティスに従いながら、IAM なりすましソリューションを設計する必要があります。どうすればよいでしょうか?

  • A. Google サービス アカウントを作成します。
    テイントのないノードプールを作成し、Google サービス アカウントをデフォルトの ID として設定します。
    Google サービス アカウントに IAM 権限を付与します。
  • B. Google サービス アカウントを作成します。
    ノードプールを作成し、Google サービス アカウントをデフォルトの ID として設定します。
    ノード セレクター、テイント、および許容値を使用して、ワークロードが指定されたノード プールでのみ実行されるようにします。
    各ワークロードごとに繰り返します。
  • C. Google サービス アカウントを作成します。
    Google サービス アカウントのサービス アカウント キーを作成します。
    サービス アカウント キーを使用して Kubernetes シークレットを作成します。
    ワークロードがシークレットをマウントしていることを確認し、GOOGLE_APPLICATION_CREDENTIALS 環境変数がマウント パスを指すように設定します。
    各ワークロードごとに繰り返します。
  • D. Google サービス アカウントを作成します。
    Workload Identity 対応クラスタに Kubernetes サービス アカウントを作成します。
    role/iam を使用して、Google サービス アカウントを Kubernetes サービス アカウントにリンクします。
    workloadIdentityUser ロールと iam.gke.io/gcp-service-account アノテーション。
    Kubernetes サービス アカウントをワークロードにマップします。
    各ワークロードごとに繰り返します。
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #5

あなたは、Google Kubernetes Engine (GKE) で実行される本番アプリケーションの問題を調査しています。
コードの正確な変更は特定されませんでしたが、問題の原因は最近更新されたコンテナ イメージであると判断しました。現在、デプロイメントは最新のタグを指しています。意図したとおりに機能するバージョンのコンテナーを実行するには、クラスターを更新する必要があります。あなたは何をするべきか?

  • A. 以前に動作していたコンテナの sha2 56 ダイジェストを指すようにデプロイメントを変更します。
  • B. 以前の Git タグから新しいコンテナを構築し、新しいコンテナへのデプロイメントでローリング アップデートを実行します。
  • C. 以前に動作していたコンテナを指す、stable という新しいタグを作成し、新しいタグを指すようにデプロイメントを変更します。
  • D. 最新のタグを前のコンテナー イメージに適用し、デプロイメントでローリング アップデートを実行します。
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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