Professional-Cloud-Developer資格講座、Professional-Cloud-Developer模擬対策問題

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Professional-Cloud-Developer実際試験の質問、Professional-Cloud-Developer模擬試験問題集

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Google Professional-Cloud-Developer認定は、GCPサービスとテクノロジーを扱う個人の能力、およびクラウドベースのアプリケーション開発の理解を示すため、業界で非常に評価されています。これは、専門家がGoogle Cloudプラットフォームでクラウドベースのアプリケーションを開発するためのスキルと専門知識を紹介する優れた方法であり、競争力のある雇用市場で際立っているのに役立ちます。

Google Certified Professional - Cloud Developerになるためには、Professional-Cloud-Developer試験に合格する必要があります。この試験は、GCPサービスとプラットフォーム上でのアプリケーション開発のベストプラクティスに関する知識を総合的に評価するものです。この試験は、ビジネス目標を満たすスケーラブルで信頼性の高いセキュアなアプリケーションを構築および管理する能力、GCPツールとサービスを使用してアプリケーションのパフォーマンスを最適化し、アプリケーションリソースを管理する能力をテストすることを目的としています。

Google Certified Professional - Cloud Developer 認定 Professional-Cloud-Developer 試験問題 (Q375-Q380):

質問 # 375
Your company recently modernized their monolith ecommerce site to a microservices application in GKE. Your team uses Google Cloud's operations suite for monitoring and logging. You want to improve the logging indexing and searchabilty in Cloud Logging across your microservices with the least amount of effort. What should you do?

A. Instrument your microservices code with OpenTelemetry libraries.
B. Update your microservices code to emit logs in JSON format.
C. Reconfigure your applications to write logs to an emptyDir volume. Configure a sidecar agent to read the logs and send them to the Cloud Logging API.
D. Ask the SRE team to enable Managed Service for Prometheus on your GKE cluster.

正解：B

解説：
JSON-formatted logs are structured logs that make indexing and searching easier in Cloud Logging. Cloud Logging can automatically parse JSON logs, which allows for better indexing, querying, and filtering capabilities. By emitting logs in JSON format, you improve the searchability and organization of logs across your microservices with minimal code changes, as JSON logs provide structure to log entries without requiring additional services or configurations.
Options like enabling Managed Service for Prometheus or instrumenting with OpenTelemetry are useful for monitoring and metrics, but they don't specifically improve log indexing and searchability in Cloud Logging.

質問 # 376
Your application takes an input from a user and publishes it to the user's contacts. This input is stored in a table in Cloud Spanner. Your application is more sensitive to latency and less sensitive to consistency.
How should you perform reads from Cloud Spanner for this application?

A. Perform stale reads using read-write transactions.
B. Perform strong reads using single-read methods.
C. Perform Read-Only transactions.
D. Perform stale reads using single-read methods.

正解：A

解説：
Reference: https://cloud.google.com/solutions/best-practices-cloud-spanner-gaming-database

質問 # 377
You are a developer at a large organization. Your team uses Git for source code management (SCM). You want to ensure that your team follows Google-recommended best practices to manage code to drive higher rates of software delivery. Which SCM process should your team use?

A. Each developer creates a branch for their own work, commits their changes to their branch, and merges their code into the main branch daily.
B. Each group of developers creates a feature branch from the main branch for their work, commits their changes to their branch, and merges their code into the main branch before each major release.
C. Each group of developers copies the repository, commits their changes to their repository, and merges their code into the main repository before each product release.
D. Each developer commits their code to the main branch before each product release, conducts testing, and rolls back if integration issues are detected.

正解：A

解説：
Following Google-recommended practices, frequent integration is key to reducing integration issues and driving higher rates of software delivery. By having each developer create their own branch, make commits, and merge into the main branch daily, the team ensures that integration happens continuously. This trunk-based development approach encourages regular testing and validation, making it easier to detect issues early and avoid large, complex integrations before releases.
This practice also aligns with CI/CD principles, which emphasize small, frequent commits and continuous integration to maintain high code quality and accelerate development velocity.

質問 # 378
You are deploying your applications on Compute Engine. One of your Compute Engine instances failed to launch. What should you do? (Choose two.)

A. Check whether network traffic to or from your instance is being dropped.
B. Check whether your instance boot disk is completely full.
C. Troubleshoot firewall rules or routes on an instance.
D. Determine whether your file system is corrupted.
E. Access Compute Engine as a different SSH user.

正解：B、D

解説：
https://cloud.google.com/compute/docs/troubleshooting/vm-startup

質問 # 379
Your company has a data warehouse that keeps your application information in BigQuery. The BigQuery data warehouse keeps 2 PBs of user data. Recently, your company expanded your user base to include EU users and needs to comply with these requirements:
Your company must be able to delete all user account information upon user request.
All EU user data must be stored in a single region specifically for EU users.
Which two actions should you take? (Choose two.)

A. Use DML statements in BigQuery to update/delete user records based on their requests.
B. Use BigQuery federated queries to query data from Cloud Storage.
C. Create a Cloud Storage bucket in the EU region to store information for EU users only.
D. Create a dataset in the EU region that will keep information about EU users only.
E. Re-upload your data using to a Cloud Dataflow pipeline by filtering your user records out.

正解：A、C

解説：
Reference:
https://cloud.google.com/solutions/bigquery-data-warehouse

質問 # 380
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