[2026年02月13日] 最速準備で試験合格！Professional-Cloud-Architect問題の事前予備
Professional-Cloud-ArchitectのPDF問題集リアル2026最近更新された問題
Professional-Cloud-Architect試験は、GCPサービスを使用してスケーラブルでセキュアなクラウドソリューションを設計および実装する能力をテストする、多肢選択およびシナリオベースの問題から構成されています。試験は、GCPインフラストラクチャおよびサービス、データのストレージと処理、ネットワーキング、セキュリティ、コンプライアンス、およびビジネス継続性を含む幅広いトピックをカバーしています。
Google Professional-Cloud-Architect試験は、Google Cloudプラットフォームでソリューションの設計、開発、管理の専門知識を実証したい専門家の認定です。クラウドアーキテクチャの経験があり、スキルセットの拡大を検討している個人向けに設計されています。試験では、GCPのソリューションを設計および管理する能力と、クラウドアーキテクチャの原則の理解について候補者をテストします。
質問 # 72
Case Study: 4 - Dress4Win case study
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using a website and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium app model.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers and appliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster, Dress4win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and which components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
Databases:
MySQL - user data, inventory, static data
* Redis - metadata, social graph, caching
* Application servers:
Tomcat - Java micro-services
* Nginx - static content
* Apache Beam - Batch processing
* Storage appliances:
iSCSI for VM hosts
* Fiber channel SAN - MySQL databases
* NAS - image storage, logs, backups
* Apache Hadoop/Spark servers:
Data analysis
* Real-time trending calculations
* MQ servers:
Messaging
* Social notifications
* Events
* Miscellaneous servers:
Jenkins, monitoring, bastion hosts, security scanners
* Business Requirements
* Build a reliable and reproducible environment with scaled parity of production. Improve security by defining and adhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources.
Analyze and optimize architecture for performance in the cloud. Migrate fully to the cloud if all other requirements are met.
Technical Requirements
Evaluate and choose an automation framework for provisioning resources in cloud. Support failover of the production environment to cloud during an emergency. Identify production services that can migrate to cloud to save capacity.
Use managed services whenever possible.
Encrypt data on the wire and at rest.
Support multiple VPN connections between the production data center and cloud environment.
CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a new competitor could use a public cloud platform to offset their up-front investment and freeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.
For this question, refer to the Dress4Win case study.
Dress4Win would like to become familiar with deploying applications to the cloud by successfully deploying some applications quickly, as is. They have asked for your recommendation. What should you advise?
- A. Identify self-contained applications with external dependencies as a first move to the cloud.
- B. Suggest moving their in-house databases to the cloud and continue serving requests to on- premise applications.
- C. Identify enterprise applications with internal dependencies and recommend these as a first move to the cloud.
- D. Recommend moving their message queuing servers to the cloud and continue handling requests to on-premise applications.
正解：A
質問 # 73
You are migrating your on-premises solution to Google Cloud in several phases. You will use Cloud VPN to maintain a connection between your on-premises systems and Google Cloud until the migration is completed.
You want to make sure all your on-premise systems remain reachable during this period. How should you organize your networking in Google Cloud?
- A. Use an IP range on Google Cloud that does not overlap with the range you use on-premises
- B. Use the same IP range on Google Cloud as you use on-premises for your primary IP range and use a secondary range that does not overlap with the range you use on-premises
- C. Use an IP range on Google Cloud that does not overlap with the range you use on-premises for your primary IP range and use a secondary range with the same IP range as you use on-premises
- D. Use the same IP range on Google Cloud as you use on-premises
正解：C
質問 # 74
For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the database workloads for your company, Mountkirk Games. Considering the business and technical requirements, what should you do?
- A. Use Cloud SQL for time series data, and use Cloud Bigtable for historical data queries.
- B. Use Cloud Bigtable for time series data, use Cloud Spanner for transactional data, and use BigQuery for historical data queries.
- C. Use Cloud Bigtable to replace MySQL, and use BigQuery for historical data queries.
- D. Use Cloud SQL to replace MySQL, and use Cloud Spanner for historical data queries.
正解：C
解説：
Explanation
"Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on 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"
質問 # 75
Your company places a high value on being responsive and meeting customer needs quickly. Their primary business objectives are release speed and agility. You want to reduce the chance of security errors being accidentally introduced. Which two actions can you take? Choose 2 answers
- A. Run a vulnerability security scanner as part of your continuous-integration /continuous- delivery (CI/CD) pipeline.
- B. Use source code security analyzers as part of the CI/CD pipeline.
- C. Ensure you have stubs to unit test all interfaces between components.
- D. Enable code signing and a trusted binary repository integrated with your CI/CD pipeline.
- E. Ensure every code check-in is peer reviewed by a security SME.
正解：C、E
質問 # 76
You are creating a solution to remove backup files older than 90 days from your backup Cloud Storage bucket.
You want to optimize ongoing Cloud Storage spend.
What should you do?
- A. Schedule a cron script using gsutil ls -l gs://backups/**to find and remove items older than 90 days and schedule it with cron
- B. Schedule a cron script using gsutil ls -lr gs://backups/**to find and remove items older than 90 days
- C. Write a lifecycle management rule in XML and push it to the bucket with gsutil
- D. Write a lifecycle management rule in JSON and push it to the bucket with gsutil
正解：D
質問 # 77
Your company has a Google Cloud project that uses BigQuery for data warehousing. The VPN tunnel between the on-premises environment and Google Cloud is configured with Cloud VPN. Your security team wants to avoid data exfiltration by malicious insiders, compromised code, and accidental oversharing. What should you do?
- A. Create a service account, grant the BigQuery JobUser role and Storage Object Viewer role to the service account, and remove all other Identity and Access Management (1AM) access from the project.
- B. Configure VPC Service Controls and configure Private Google Access for on-premises hosts.
- C. Configure Private Service Connect.
- D. Configure Private Google Access.
正解：B
質問 # 78
Your company runs several databases on a single MySQL instance. They need to take backups of a specific database at regular intervals. The backup activity needs to complete as quickly as possible and cannot be allowed to impact disk performance. How should you configure the storage?
- A. Configure a cron job to use the gcloud tool to take regular backups using persistent disk snapshots.
- B. Mount additional persistent disk volumes onto each virtual machine (VM) instance in a RAID10 array and use LVM to create snapshots to send to Cloud Storage.
- C. Use gcsfuse to mount a Google Cloud Storage bucket as a volume directly on the instance and write backups to the mounted location using mysqldump
- D. Mount a Local SSD volume as the backup location. After the backup is complete, use gsutil to move the backup to Google Cloud Storage.
正解：C
質問 # 79
For this question, refer to the Dress4Win case study.
Dress4Win has asked you for advice on how to migrate their on-premises MySQL deployment to the cloud.
They want to minimize downtime and performance impact to their on-premises solution during the migration.
Which approach should you recommend?
- A. Create a dump of the on-premises MySQL master server, and then shut it down, upload it to the cloud environment, and load into a new MySQL cluster.
- B. Create a dump of the MySQL replica server into the cloud environment, load it into: Google Cloud Datastore, and configure applications to read/write to Cloud Datastore at cutover.
- C. Create a new MySQL cluster in the cloud, configure applications to begin writing to both on-premises and cloud MySQL masters, and destroy the original cluster at cutover.
- D. Setup a MySQL replica server/slave in the cloud environment, and configure it for asynchronous replication from the MySQL master server on-premises until cutover.
正解：D
質問 # 80
The operations manager asks you for a list of recommended practices that she should consider when migrating a J2EE application to the cloud. Which three practices should you recommend? Choose 3 answers
- A. Port the application code to run on Google App Engine.
- B. Migrate from MySQL to a managed NoSQL database like Google Cloud Datastore or Bigtable.
- C. Select an automation framework to reliably provision the cloud infrastructure.
- D. Integrate Cloud Dataflow into the application to capture real-time metrics.
- E. Deploy a continuous integration tool with automated testing in a staging environment.
- F. Instrument the application with a monitoring tool like Stackdriver Debugger.
正解：A、B、E
解説：
References: https://cloud.google.com/appengine/docs/standard/java/tools/uploadinganapp
https://cloud.google.com/appengine/docs/standard/java/building-app/cloud-sql
質問 # 81
A production database virtual machine on Google Compute Engine has an ext4-formatted persistent disk for data files. The database is about to run out of storage space.
How can you remediate the problem with the least amount of downtime?
- A. In the Cloud Platform Console, increase the size of the persistent disk and use the resize2fs command in Linux.
- B. In the Cloud Platform Console, create a snapshot of the persistent disk restore the snapshot to a new larger disk, unmount the old disk, mount the new disk and restart the database service
- C. In the Cloud Platform Console, increase the size of the persistent disk and verify the new space is ready to use with the fdisk command in Linux
- D. In the Cloud Platform Console, create a new persistent disk attached to the virtual machine, format and mount it, and configure the database service to move the files to the new disk
- E. Shut down the virtual machine, use the Cloud Platform Console to increase the persistent disk size, then restart the virtual machine
正解：A
解説：
On Linux instances, connect to your instance and manually resize your partitions and file systems to use the additional disk space that you added.
Extend the file system on the disk or the partition to use the added space. If you grew a partition on your disk, specify the partition. If your disk does not have a partition table, specify only the disk ID.
sudo resize2fs /dev/[DISK_ID][PARTITION_NUMBER]
where [DISK_ID] is the device name and [PARTITION_NUMBER] is the partition number for the device where you are resizing the file system.
References: https://cloud.google.com/compute/docs/disks/add-persistent-disk
質問 # 82
For this question, refer to the TerramEarth case study. You are asked to design a new architecture for the ingestion of the data of the 200,000 vehicles that are connected to a cellular network. You want to follow Google-recommended practices.
Considering the technical requirements, which components should you use for the ingestion of the data?
- A. Compute Engine with specific SSH keys
- B. Google Kubernetes Engine with an SSL Ingress
- C. Compute Engine with project-wide SSH keys
- D. Cloud IoT Core with public/private key pairs
正解：B
解説：
Explanation
https://cloud.google.com/solutions/iot-overview
https://cloud.google.com/iot/quotas
質問 # 83
You are helping the QA team to roll out a new load-testing tool to test the scalability of your primary cloud services that run on Google Compute Engine with Cloud Bigtable. Which three requirements should they include? Choose 3 answers
- A. Ensure all third-party systems your services use are capable of handling high load.
- B. Schedule the load-testing tool to regularly run against the production environment.
- C. Ensure that the load tests validate the performance of Cloud Bigtable.
- D. Instrument the load-testing tool and the target services with detailed logging and metrics collection.
- E. Instrument the production services to record every transaction for replay by the load-testing tool.
- F. Create a separate Google Cloud project to use for the load-testing environment.
正解：B、C、E
質問 # 84
For this question, refer to the TerramEarth case study.
To speed up data retrieval, more vehicles will be upgraded to cellular connections and be able to transmit data to the ETL process. The current FTP process is error-prone and restarts the data transfer from the start of the file when connections fail, which happens often. You want to improve the reliability of the solution and minimize data transfer time on the cellular connections. What should you do?
- A. Use one Google Container Engine cluster of FTP servers. Save the data to a Multi-Regional bucket. Run the ETL process using data in the bucket.
- B. Directly transfer the files to a different Google Cloud Regional Storage bucket location in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process to retrieve the data from each Regional bucket.
- C. Use multiple Google Container Engine clusters running FTP servers located in different regions. Save the data to Multi-Regional buckets in us, eu, and asia. Run the ETL process using the data in the bucket.
- D. Directly transfer the files to different Google Cloud Multi-Regional Storage bucket locations in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process using the data in the bucket.
正解：D
解説：
Explanation
From scenario: They currently have over 500 dealers and service centers in 100 countries.
Multi-Regional Storage is appropriate for storing data that is frequently accessed ("hot" objects), such as serving website content, interactive workloads, or data supporting mobile and gaming applications.
Multi-Regional Storage data has the most availability compared to other storage classes.
Multi-Regional Storage is geo-redundant, which means Cloud Storage stores your data redundantly in at least two geographic places separated by at least 100 miles within the multi-regional location of the bucket.
Geo-redundancy occurs asynchronously, but Multi-Regional Storage data is redundant within at least one geographic place as soon as you upload it. Like all Cloud Storage data, it is also immediately accessible worldwide.
References: https://cloud.google.com/storage/docs/storage-classes#multi-regional
質問 # 85
For this question, refer to the Mountkirk Games case study. Which managed storage option meets Mountkirk's technical requirement for storing game activity in a time series database service?
- A. Cloud Bigtable
- B. Cloud Datastore
- C. BigQuery
- D. Cloud Spanner
正解：A
解説：
https://cloud.google.com/blog/products/databases/getting-started-with-time-series-trend-predictions-using-gcp
質問 # 86
For this question, refer to the Dress4Win case study.
Dress4Win has configured a new uptime check with Google Stackdriver for several of their legacy services. The Stackdriver dashboard is not reporting the services as healthy. What should they do?
- A. Configure their legacy web servers to allow requests that contain user-Agent HTTP header when the value matches GoogleStackdriverMonitoring- UptimeChecks (https://cloud.google.com/monitoring)
- B. Configure their load balancer to pass through the User-Agent HTTP header when the value matches GoogleStackdriverMonitoring-UptimeChecks (https://cloud.google.com/monitoring)
- C. Install the Stackdriver agent on all of the legacy web servers.
- D. In the Cloud Platform Console download the list of the uptime servers' IP addresses and create an inbound firewall rule
正解：B
質問 # 87
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試験を受けるには、クラウドコンピューティングの概念、分散システム、データストレージ、ネットワークなどについての深い理解が必要です。また、Compute Engine、Cloud Storage、BigQueryなどのさまざまなGCPサービスとツールにも精通している必要があります。試験形式は、複数選択肢とシナリオベースの質問で構成され、候補者は2時間30分で試験を受けることができます。
Professional-Cloud-Architect問題集と練習テスト（282試験問題)：https://www.passtest.jp/Google/Professional-Cloud-Architect-shiken.html
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