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Professional-Cloud-Architect認定に関する最高のGoogle Professional-Cloud-Architect受験問題集
Posted at 1/28/2026 16:49:34
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ちなみに、PassTest Professional-Cloud-Architectの一部をクラウドストレージからダウンロードできます:https://drive.google.com/open?id=1c6JwdHpKGU0fIZtzFS9VmDA52i1QcI0t
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試験は、GCPの機能、サービス、および能力を含む候補者の知識をテストするよう設計されています。試験は、GCPソリューションの設計、計画、および管理能力を評価します。試験に合格するには、候補者はGCPアーキテクチャを深く理解し、信頼性、拡張性、およびセキュリティが確保されたソリューションの設計と実装ができる必要があります。
Professional-Cloud-Architect資格専門知識 & Professional-Cloud-Architect日本語資格取得PassTestは、Professional-Cloud-Architect試験資料によってProfessional-Cloud-Architect試験に合格することを心から願っています。私たちの責任ある行動は、本能的な目的と信条です。長年この分野に専念することにより、私たちはProfessional-Cloud-Architect学習問題に関する問題を確固たる自信をもって解決するために全能です。そして、Professional-Cloud-Architect試験問題で勉強する限り、Professional-Cloud-Architect学習ガイドは、99%〜100%の優れた品質と高い合格率を得るのに最適であることがわかります。
Google認定プロフェッショナル-クラウドアーキテクトになるためには、クラウドアーキテクチャ、ネットワーキング、セキュリティ、データストレージと分析、Compute Engine、App Engine、Kubernetes、BigQueryなどのGCPサービスと技術を含む広範なトピックをカバーする厳格な試験に合格する必要があります。試験は、多肢選択問題と複数選択問題から構成され、2時間続きます。
試験は、選択式とシナリオベースの問題から成り、クラウドソリューションアーキテクチャの設計と計画、クラウドインフラストラクチャの管理と供給、コストとパフォーマンスの最適化、クラウドソリューションのセキュリティとコンプライアンスの確保など、様々な分野での候補者の知識と技能をテストするよう設計されています。
Google Certified Professional - Cloud Architect (GCP) 認定 Professional-Cloud-Architect 試験問題 (Q132-Q137):質問 # 132
You are deploying an application to Google Cloud. The application is part of a system. The application in Google Cloud must communicate over a private network with applications in a non-Google Cloud environment. The expected average throughput is 200 kbps. The business requires:
* 99.99% system availability
* cost optimization
You need to design the connectivity between the locations to meet the business requirements. What should you provision?
- A. An HA Cloud VPN gateway connected with two tunnels to an on-premises VPN gateway.
- B. Two HA Cloud VPN gateways connected to two on-premises VPN gateways. Configure each HA Cloud VPN gateway to have two tunnels, each connected to different on-premises VPN gateways.
- C. A Classic Cloud VPN gateway connected with two tunnels to an on-premises VPN gateway.
- D. A Classic Cloud VPN gateway connected with one tunnel to an on-premises VPN gateway.
正解:A
解説:
Explanation
https://cloud.google.com/network ... s_that_support_9999
質問 # 133
For this question, refer to the TerramEarth case study. TerramEarth has decided to store data files in
Cloud Storage. You need to configure Cloud Storage lifecycle rule to store 1 year of data and minimize file
storage cost.
Which two actions should you take?
- A. Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Standard", and Action: "Set to
Coldline", and create a second GCS life-cycle rule with Age: "365", Storage Class: "Coldline", and
Action: "Delete". - B. Create a Cloud Storage lifecycle rule with Age: "90", Storage Class: "Standard", and Action: "Set to
Nearline", and create a second GCS life-cycle rule with Age: "91", Storage Class: "Nearline", and
Action: "Set to Coldline". - C. Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Standard", and Action: "Set to
Coldline", and create a second GCS life-cycle rule with Age: "365", Storage Class: "Nearline", and
Action: "Delete". - D. Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Coldline", and Action: "Set to
Nearline", and create a second GCS life-cycle rule with Age: "91", Storage Class: "Coldline", and
Action: "Set to Nearline".
正解:C
質問 # 134
Your company is moving 75 TB of data into Google Cloud. You want to use Cloud Storage and follow Googlerecommended practices. What should you do?
- A. Install gsutil on each server containing data. Use streaming transfers to upload the data into Cloud Storage.
- B. Move your data onto a Transfer Appliance. Use Cloud Dataprep to decrypt the data into Cloud Storage.
- C. Move your data onto a Transfer Appliance. Use a Transfer Appliance Rehydrator to decrypt the data into Cloud Storage.
- D. Install gsutil on each server that contains data. Use resumable transfers to upload the data into Cloud Storage.
正解:C
解説:
https://cloud.google.com/transfer-appliance/docs/2.0/faq
質問 # 135
For this question, refer to the TerramEarth case study. To be compliant with European GDPR regulation, TerramEarth is required to delete data generated from its European customers after a period of 36 months when it contains personal dat a. In the new architecture, this data will be stored in both Cloud Storage and BigQuery. What should you do?
- A. Create a BigQuery time-partitioned table for the European data, and set the partition expiration period to 36 months. For Cloud Storage, use gsutil to enable lifecycle management using a DELETE action with an Age condition of 36 months.
- B. Create a BigQuery table for the European data, and set the table retention period to 36 months. For Cloud Storage, use gsutil to create a SetStorageClass to NONE action when with an Age condition of 36 months.
- C. Create a BigQuery time-partitioned table for the European data, and set the partition period to 36 months. For Cloud Storage, use gsutil to create a SetStorageClass to NONE action with an Age condition of 36 months.
- D. Create a BigQuery table for the European data, and set the table retention period to 36 months. For Cloud Storage, use gsutil to enable lifecycle management using a DELETE action with an Age condition of 36 months.
正解:A
解説:
Reference:
https://cloud.google.com/bigquer ... artition-expiration
https://cloud.google.com/storage/docs/lifecycle
Topic 5, Mountkrik Games Case 2
Company Overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They build all of their games using some server-side integration. Historically, they have used cloud providers to lease physical servers.
Due to the unexpected popularity of some of their games, they have had problems scaling their global audience, application servers, MySQL databases, and analytics tools.
Their current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics, and take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
Business Requirements
Increase to a global footprint.
Improve uptime - downtime is loss of players.
Increase efficiency of the cloud resources we use.
Reduce latency to all customers.
Technical Requirements
Requirements for Game Backend Platform
Dynamically scale up or down based on game activity.
Connect to a transactional database service to manage user profiles and game state.
Store game activity in a timeseries database service for future analysis.
As the system scales, ensure that data is not lost due to processing backlogs.
Run hardened Linux distro.
Requirements for Game Analytics Platform
Dynamically scale up or down based on game activity
Process incoming data on the fly directly from the game servers
Process data that arrives late because of slow mobile networks
Allow queries to access at least 10 TB of historical data
Process files that are regularly uploaded by users' mobile devices
Executive Statement
Our last successful game did not scale well with our previous cloud provider, resulting in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the game to target users. Additionally, our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
質問 # 136
You are implementing a single Cloud SQL MySQL second-generation database that contains business-critical transaction dat a. You want to ensure that the minimum amount of data is lost in case of catastrophic failure. Which two features should you implement? (Choose two.)
- A. Semisynchronous replication
- B. Automated backups
- C. Read replicas
- D. Sharding
- E. Binary logging
正解:B、E
解説:
Backups help you restore lost data to your Cloud SQL instance. Additionally, if an instance is having a problem, you can restore it to a previous state by using the backup to overwrite it. Enable automated backups for any instance that contains necessary data. Backups protect your data from loss or damage.
Enabling automated backups, along with binary logging, is also required for some operations, such as clone and replica creation.
質問 # 137
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