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Google Professional-Cloud-Developer 問題集

Professional-Cloud-Developer

試験コード:Professional-Cloud-Developer

試験名称:Google Certified Professional - Cloud Developer

最近更新時間:2025-06-26

問題と解答:全265問

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質問 1:
You are using Cloud Run to host a web application. You need to securely obtain the application project ID and region where the application is running and display this information to users. You want to use the most performant approach. What should you do?
A. Make an API call to the Cloud Asset Inventory API from the application and format the request to include instance metadata.
B. Use HTTP requests to query the available metadata server at the http://metadata.google.internal/ endpoint with the Metadata-Flavor: Google header.
C. In the Google Cloud console, navigate to the Project Dashboard and gather configuration details. Write the application configuration information to Cloud Run's in-memory container filesystem.
D. In the Google Cloud console, navigate to the Project Dashboard and gather configuration details.
Navigate to the Cloud Run "Variables & Secrets" tab, and add the desired environment variables in Key:Value format.
正解:D

質問 2:
You have an application in production. It is deployed on Compute Engine virtual machine instances controlled by a managed instance group. Traffic is routed to the instances via a HTTP(s) load balancer. Your users are unable to access your application. You want to implement a monitoring technique to alert you when the application is unavailable.
Which technique should you choose?
A. Managed instance group - heath checks
B. Smoke tests
C. Cloud Load Balancing - heath checks
D. Stackdriver uptime checks
正解:D
解説: (Topexam メンバーにのみ表示されます)

質問 3:
You are creating an App Engine application that writes a file to any user's Google Drive.
How should the application authenticate to the Google Drive API?
A. With an OAuth Client ID that uses the https://www.googleapis.com/auth/drive.file scope to obtain an access token for each user.
B. With an OAuth Client ID with delegated domain-wide authority.
C. With the App Engine service account with delegated domain-wide authority.
D. With the App Engine service account and https://www.googleapis.com/auth/drive.file scope that generates a signed JWT.
正解:B
解説: (Topexam メンバーにのみ表示されます)

質問 4:
You work for an organization that manages an ecommerce site. Your application is deployed behind a global HTTP(S) load balancer. You need to test a new product recommendation algorithm. You plan to use A/B testing to determine the new algorithm's effect on sales in a randomized way. How should you test this feature?
A. Mirror traffic to the new version of your application.
B. Enable the new recommendation feature flag on a single instance.
C. Use HTTP header-based routing.
D. Split traffic between versions using weights.
正解:A
解説: (Topexam メンバーにのみ表示されます)

質問 5:
You are developing an application hosted on Google Cloud that uses a MySQL relational database schema.
The application will have a large volume of reads and writes to the database and will require backups and ongoing capacity planning. Your team does not have time to fully manage the database but can take on small administrative tasks. How should you host the database?
A. Configure Cloud Spanner to host the database, and import the schema into Cloud Spanner.
B. Configure Bigtable to host the database, and import the data into Bigtable.
C. Deploy MySQL from the Google Cloud Marketplace to the database using a client, and import the schema.
D. Configure Firestore to host the database, and import the data into Firestore.
E. Configure Cloud SQL to host the database, and import the schema into Cloud SQL.
正解:E
解説: (Topexam メンバーにのみ表示されます)

質問 6:
You are using Cloud Build to create a new Docker image on each source code commit to a Cloud Source Repositoties repository. Your application is built on every commit to the master branch. You want to release specific commits made to the master branch in an automated method. What should you do?
A. Create a build trigger on a Git branch name pattern. Use a Git branch naming convention for new releases.
B. Create a build trigger on a Git tag pattern. Use a Git tag convention for new releases.
C. Manually trigger the build for new releases.
D. Commit your source code to a second Cloud Source Repositories repository with a second Cloud Build trigger. Use this repository for new releases only.
正解:A
解説: (Topexam メンバーにのみ表示されます)

質問 7:
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 after the change advisory board approves it.
C. Each developer commits their code to the main branch before each product release, conducts testing, and rolls back if integration issues are detected.
D. 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.
正解:B
解説: (Topexam メンバーにのみ表示されます)

質問 8:
You are using Cloud Build to build a Docker image. You need to modify the build to execute unit and run integration tests. When there is a failure, you want the build history to clearly display the stage at which the build failed.
What should you do?
A. Add RUN commands in the Dockerfile to execute unit and integration tests.
B. Create a Cloud Build build config file with a single build step to compile unit and integration tests.
C. Create a Cloud Build build config file with separate cloud builder steps to compile and execute unit and integration tests.
D. Create a Cloud Build build config file that will spawn a separate cloud build pipeline for unit and integration tests.
正解:C

質問 9:
You recently developed a new service on Cloud Run. The new service authenticates using a custom service and then writes transactional information to a Cloud Spanner database. You need to verify that your application can support up to 5,000 read and 1,000 write transactions per second while identifying any bottlenecks that occur. Your test infrastructure must be able to autoscale. What should you do?
A. Build a test harness to generate requests and deploy it to Cloud Run. Analyze the VPC Flow Logs using Cloud Logging.
B. Create a Cloud Task to generate a test load. Use Cloud Scheduler to run 60,000 Cloud Task transactions per minute for 10 minutes. Analyze the results using Cloud Monitoring.
C. Create a Google Kubernetes Engine cluster running the Locust or JMeter images to dynamically generate load tests. Analyze the results using Cloud Trace.
D. Create a Compute Engine instance that uses a LAMP stack image from the Marketplace, and use Apache Bench to generate load tests against the service. Analyze the results using Cloud Trace.
正解:C
解説: (Topexam メンバーにのみ表示されます)

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Google Professional-Cloud-Developer 認定試験の出題範囲:

トピック出題範囲
トピック 1
  • Configuring Compute Services Network Settings
  • Configuring A Cloud Pub
  • Sub Push Subscription To Call An Endpoint
トピック 2
  • Google-Recommended Practices And Documentation
  • Deploying And Securing An API With Cloud Endpoints
トピック 3
  • Defining A Key Structure For High Write Applications Using Cloud Storage
  • Using Cloud Storage To Run A Static Website
トピック 4
  • Setting Up Your Development Environment, Considerations
  • Building And Testing Applications
トピック 5
  • Integrating An Application With Data And Storage Services
  • Writing An SQL Query To Retrieve Data From Relational Databases
トピック 6
  • Reading And Updating An Entity In A Cloud Datastore Transaction From An Application
  • Using Apis To Read
  • Write To Data Services
トピック 7
  • Designing Highly Scalable, Available, And Reliable Cloud-Native Applications
  • Geographic Distribution Of Google Cloud Services
トピック 8
  • Security Mechanisms That Protect Services And Resources
  • Choosing Data Storage Options Based On Use Case Considerations
トピック 9
  • Reviewing Test Results Of Continuous Integration Pipeline
  • Developing Unit Tests For All Code Written
トピック 10
  • Publishing And Consuming From Data Ingestion Sources
  • Authenticating Users By Using Oauth2 Web Flow And Identity Aware Proxy
トピック 11
  • Deploying Applications And Services On Google Kubernetes Engine
  • Deploying Applications And Services On Google Kubernetes Engine
トピック 12
  • Implementing Appropriate Deployment Strategies Based On The Target Compute Environment
  • Creating A Load Balancer For Compute Engine Instances
トピック 13
  • Defining Database Schemas For Google-Managed Databases
  • Re-Architecting Applications From Local Services To Google Cloud Platform
トピック 14
  • Operating System Versions And Base Runtimes Of Services
  • Oogle-Recommended Practices And Documentation
トピック 15
  • Launching A Compute Instance Using GCP Console And Cloud SDK
  • Creating An Autoscaled Managed Instance Group Using An Instance Template
トピック 16
  • Automating Resource Provisioning With Deployment Manager
  • Creating An Instance With A Startup Script That Installs Software
トピック 17
  • Developing An Integration Pipeline Using Services
  • Emulating GCP Services For Local Application Development

参照:https://cloud.google.com/certification/cloud-developer

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