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Google Professional-Cloud-Architect日本語 : Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect日本語版)

Professional-Cloud-Architect日本語

Exam Code: Professional-Cloud-Architect-JPN

Exam Name: Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect日本語版)

Updated: Oct 16, 2026

Q & A: 353 Questions and Answers

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Recommended Experience

Officially, there are no prerequisites to be fulfilled before taking-up the Google Professional Cloud Architect exam. Anyone who wants to polish their knowledge of Google Cloud and aim at an architect role can apply for it.

However, it is recommended to have a minimum of 3+ years of industry experience before anyone enrolls in the test. These should also include 1+ years of experience in designing solutions as well as managing them using GCP. Such a base will make the exam journey a bit more simplified.

Reference: https://cloud.google.com/certification/cloud-architect

Career Opportunities

Building a career in the field of IT requires some level of commitment. One of the areas where this commitment is required is obtaining the certifications. With an IT certificate, you can increase your access to numerous career opportunities and earn attractive remuneration. For the holders of the Google Professional Cloud Architect certification, there are many job roles that they can take up. Some of them include a Google Cloud Architect, a Technical Cloud Architect, a Google Cloud Platform Delivery Architect, a Google Cloud Data Architect, and an Enterprise Architect. These positions come with attractive salaries averaging $120,000 per annum. The specialists with some years of experience can get as much as $180,000.

Who should take the Google Professional Cloud Architect exam

Individuals should pursue the Google Professional Cloud Architect Exam if they want to demonstrate their expertise and ability to design and develop Google Cloud architectures. It's perfect for solutions and/or enterprise architects, systems administrators or operations team members or simply any professional who wants in on this specific area of IT and cloud.

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Google Professional-Cloud-Architect日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Managing implementation12.5%- Using Google Cloud tools and APIs programmatically
  • 1. Infrastructure as Code (Terraform, Deployment Manager)
  • 2. Cloud SDK, Cloud Shell, and Cloud Code
- Testing and validating solutions
  • 1. Functional, performance, and security testing
  • 2. Disaster recovery and failover testing
- Guiding development and deployment teams
  • 1. CI/CD pipelines and automation
  • 2. Application and infrastructure deployment strategies
Topic 2: Managing and provisioning solution infrastructure15%- Managing storage and data services
  • 1. Database deployment, replication, and backup
  • 2. Cloud Storage, Filestore, Persistent Disk management
- Configuring network topologies and connectivity
  • 1. VPC design, peering, and hybrid connectivity
  • 2. Load balancing and CDN configuration
- Provisioning and managing compute resources
  • 1. VMs, GKE, App Engine, Cloud Run deployment and management
  • 2. Auto-scaling and resource management
Topic 3: Analyzing and optimizing technical and business processes15%- Streamlining operational workflows
  • 1. Stakeholder communication and alignment
  • 2. Change management and incident response
- Optimizing cost and resource efficiency
  • 1. Resource right-sizing and usage monitoring
  • 2. Committed use discounts and pricing models
- Improving reliability and performance
  • 1. SLO, SLA, and error budgeting
  • 2. Latency reduction and throughput optimization
Topic 4: Designing for security and compliance17.5%- Enforcing compliance and governance
  • 1. Security controls, auditing, and logging
  • 2. VPC Service Controls and security perimeters
- Securing data and communications
  • 1. Key management and secret security
  • 2. Encryption at rest and in transit
- Implementing identity and access management
  • 1. Organizational policies and resource hierarchy
  • 2. IAM roles, permissions, and service accounts
Topic 5: Designing and planning a cloud solution architecture25%- Designing cloud solution infrastructure aligned with business requirements
  • 1. Compliance and regulatory requirements consideration
  • 2. Cost optimization strategies
  • 3. Scalability, high availability, and fault tolerance design
- Evaluating and selecting Google Cloud services
  • 1. Compute, storage, database, and networking service selection
  • 2. Serverless and managed service adoption
- Planning cloud migration and hybrid/multi-cloud environments
  • 1. Migration planning and execution
  • 2. Data transfer and synchronization
  • 3. Interoperability and integration design
Topic 6: Ensuring solution and operations excellence12.5%- Implementing monitoring, logging, and observability
  • 1. Cloud Monitoring, Logging, and Error Reporting
  • 2. Alerting, dashboarding, and root cause analysis
- Applying Well-Architected Framework principles
  • 1. Operational excellence, reliability, security, cost, and performance pillars
- Planning for continuous improvement
  • 1. Technology updates and architecture evolution
  • 2. Feedback loops and optimization cycles

Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect日本語版) Sample Questions:

Question #1
あなたの会社は小売顧客向けの推奨エンジンを提供しています。小売顧客に API を提供しており、顧客はユーザー ID を送信でき、API はそのユーザー向けの推奨リストを返します。
あなたは API ライフサイクルの責任を負っており、API に下位互換性のない変更が加えられた場合にも顧客の安定性を確保したいと考えています。Google が推奨するプラクティスに従う必要があります。どうすればよいでしょうか。

A. 下位互換性のない変更ごとに、現在の API バージョン番号にサフィックス「DEPRECATED」を追加する API のバージョン管理戦略を使用します。新しい API には現在のバージョン番号を使用します。
B. 下位互換性のない変更ごとにバージョン番号を増やす API のバージョン管理戦略を使用します。
C. 古い API を新しい API に置き換える少なくとも 1 か月前に、すべての顧客の配布リストを作成して、今後の下位互換性のない変更について顧客に通知します。
D. API ドキュメントを生成する自動プロセスを作成し、API への更新をデプロイするときに CI/CD プロセスの一部としてパブリック API ドキュメントを更新します。


Question #2
この質問については、Cymbal Retail のケーススタディを参照してください。Cymbal は、製品カタログの近代化プロジェクトのために、クラウドファーストのデータストレージインフラストラクチャを設計するよう求めています。Cymbal の Web アプリケーションと仮想エージェントへの効率的なデータアクセスと高可用性を確保しつつ、運用コストを最小限に抑えたいと考えています。どのような対策を講じるべきでしょうか?

A. 構造化された製品データにはクラウドストレージを、製品画像にはBigQueryを使用する
B. 構造化された製品データにはAlloyDBを、製品画像にはCloud Storageを使用します。
C. 構造化された製品データにはFilestoreを、製品画像にはCloud Storageを使用します。
D. 構造化された製品データにはSpannerを、製品画像にはBigTableを使用します。


Question #3
貴社は、従量課金制でBigQueryをデータウェアハウスとして利用するGoogle Cloudプロジェクトを運用しています。
クエリをリアルタイムで監視することで、最もコストのかかるクエリや、最も多くの費用を費やしているユーザーを特定したいと考えている。
あなたはどうすべきですか?

A. 1. Cloud Logging シンクを作成し、BigQuery のデータアクセスログを Cloud Storage にエクスポートします。2. Dataflow パイプラインを開発し、ユーザーごとに分割されたクエリのコストを計算します。
B. 1. BigQueryへの請求データのエクスポートを有効にします。
2. BigQueryクエリを請求テーブルに対して実行し、必要な情報を抽出します。
C. 1. BigQueryデータアクセスログをBigQueryにエクスポートするためのCloud Loggingシンクを作成します。
2. 生成されたテーブルに対してBigQueryクエリを実行し、必要な情報を抽出します。
D. 1. クエリ対象のすべてのテーブルを含む BigQuery データセットに、クエリを実行できる各ユーザーのラベルを追加します。
2. プロジェクトの請求ページを開きます。
3. レポートを選択します。
4. 製品としてBigQueryを選択し、確認したいユーザーでフィルタリングします。


Question #4
あなたの組織では、将来起こりうる法的手続きでの分析のために、すべてのアプリケーションのメトリックを 5 年間保持することを義務付けています。どのアプローチを使用すればよいでしょうか?

A. すべてのプロジェクトに対して Stackdriver Monitoring を構成し、Google Cloud Storage にエクスポートします。
B. セキュリティ チームに各プロジェクトのログへのアクセス権を付与します。
C. デフォルトの保持ポリシーを使用して、すべてのプロジェクトに対して Stackdriver Monitoring を構成します。
D. すべてのプロジェクトに対して Stackdriver Monitoring を構成し、BigQuery にエクスポートします。


Question #5
TerramEarth社は、プライベートデータセンターに約1ペタバイト(PB)の車両試験データを保管しています。機械学習チームのために、このデータをクラウドストレージに移行したいと考えています。現在、利用可能な相互接続リンクは1Gbpsです。機械学習チームは1か月後にデータの利用を開始したいと考えています。どうすればよいでしょうか?

A. Google Cloud のストレージ転送サービスを設定して、データセンターからクラウドストレージにデータを送信する
B. 1Gbpsリンクを使用している他のユーザーがいないことを確認し、マルチスレッド転送を使用してデータをクラウドストレージにアップロードします。
C. ファイルを暗号化されたUSBデバイスにエクスポートし、そのデバイスをGoogle Cloudに送信して、データをCloud Storageにインポートするよう要求します。
D. Google Cloud から転送アプライアンスをリクエストし、データをアプライアンスにエクスポートし、アプライアンスを Google Cloud に返却します。


Solutions:

Question #1
Correct Answer: A
Question #2
Correct Answer: B
Question #3
Correct Answer: B
Question #4
Correct Answer: A
Question #5
Correct Answer: D

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