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Google Professional-Cloud-Developer exam is a certification exam designed to test your knowledge and skills in developing and deploying applications on the Google Cloud Platform. It is intended for professionals who want to demonstrate their expertise in designing, building, and deploying applications using Google Cloud technologies. Professional-Cloud-Developer Exam is a comprehensive assessment of your understanding of cloud services, application development, and deployment practices.

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Google Professional-Cloud-Developer Exam is a certification test aimed at professionals who want to demonstrate their expertise in developing applications on the Google Cloud Platform. Google Certified Professional - Cloud Developer certification is designed to test the skills and knowledge of developers in building and deploying scalable, highly available, and secure applications using GCP services and technologies.

Google Certified Professional - Cloud Developer Sample Questions (Q181-Q186):

NEW QUESTION # 181
Your company's corporate policy states that there must be a copyright comment at the very beginning of all source files. You want to write a custom step in Cloud Build that is triggered by each source commit. You need the trigger to validate that the source contains a copyright and add one for subsequent steps if not there.
What should you do?

A. Build a new Docker container that examines the files in /workspace and then checks and adds a copyright for each source file. Changed files are explicitly committed back to the source repository.
B. Build a new Docker container that examines the files in a Cloud Storage bucket and then checks and adds a copyright for each source file. Changed files are explicitly committed back to the source repository.
C. Build a new Docker container that examines the files in /workspace and then checks and adds a copyright for each source file. Changed files do not need to be committed back to the source repository.
D. Build a new Docker container that examines the files in a Cloud Storage bucket and then checks and adds a copyright for each source file. Changed files are written back to the Cloud Storage bucket.

Answer: A

Explanation:
Explanation
https://cloud.google.com/build/docs/configuring-builds/pass-data-between-steps#passing_data_using_workspace To pass data between build steps, store the assets produced by the build step in /workspace and these assets will be available to any subsequent build steps.

NEW QUESTION # 182
Your application requires service accounts to be authenticated to GCP products via credentials stored on its host Compute Engine virtual machine instances. You want to distribute these credentials to the host instances as securely as possible.
What should you do?

A. Use the instance's service account Application Default Credentials to authenticate to the required resources.
B. Generate a P12 file from the GCP Console after the instance is deployed, and copy the credentials to the host instance before starting the application.
C. Use HTTP signed URLs to securely provide access to the required resources.
D. Commit the credential JSON file into your application's source repository, and have your CI/CD process package it with the software that is deployed to the instance.

Answer: A

Explanation:
Explanation/Reference: https://cloud.google.com/compute/docs/api/how-tos/authorization

NEW QUESTION # 183
You manage a system that runs on stateless Compute Engine VMs and Cloud Run instances.
Cloud Run is connected to a VPC, and the ingress setting is set to Internal. You want to schedule tasks on Cloud Run. You create a service account and grant it the roles/run.invoker Identity and Access Management (IAM) role. When you create a schedule and test it, a 403 Permission Denied error is returned in Cloud Logging. What should you do?

A. Change the Cloud Run ingress setting to 'Internal and Cloud Load Balancing.'
B. Configure a cron job on the Compute Engine VMs to trigger Cloud Run on schedule.
C. Use Cloud Scheduler with Pub/Sub to invoke Cloud Run.
D. Grant the service account the roles/run.developer IAM role.

Answer: C

NEW QUESTION # 184
You recently developed an application that will be hosted on Cloud Run. You need to conduct a load test. You want to analyze the load test logs second by second to understand your Cloud Run service's response to rapid traffic spikes. You want to minimize effort. How should you analyze the logs?

A. Use estimation to extrapolate performance from summary monitoring charts.
B. Analyze the log data in Cloud SQL for PostgreSQL by pushing logs to a Pub/Sub topic. Use Dataflow to process and ingest the logs.
C. Use Cloud Monitoring's default log console for analysis.
D. Analyze the log data in BigQuery by configuring a BigQuery log sink with the appropriate inclusion filter for your application.

Answer: D

Explanation:
Configuring a log sink to export your Cloud Run logs to BigQuery allows you to perform detailed, second-by-second analysis of the load test logs. BigQuery is well-suited for analyzing large volumes of log data with flexible querying capabilities, which makes it easy to filter, aggregate, and analyze logs to understand your service's response to traffic spikes.
Options like using Cloud Monitoring's log console or estimation from summary charts may provide some insights, but they lack the granularity and advanced querying features needed for precise second-by-second log analysis. Using Cloud SQL with Pub/Sub and Dataflow would require more setup and complexity than simply exporting logs to BigQuery.

NEW QUESTION # 185
Your company's development teams want to use Cloud Build in their projects to build and push Docker images to Container Registry. The operations team requires all Docker images to be published to a centralized, securely managed Docker registry that the operations team manages.
What should you do?

A. Create a separate project for the operations team that has the open source Docker Registry deployed on a Compute Engine virtual machine instance. Create a username and password for each development team. Store the username and password in the source code repository and use it to authenticate against the operations team's Docker registry.
B. Create a separate project for the operations team that has Container Registry configured. Create a Service Account for each development team and assign the appropriate permissions to allow it access to the operations team's registry. Store the service account key file in the source code repository and use it to authenticate against the operations team's registry.
C. Create a separate project for the operations team that has Container Registry configured. Assign appropriate permissions to the Cloud Build service account in each developer team's project to allow access to the operation team's registry.
D. Use Container Registry to create a registry in each development team's project. Configure the Cloud Build build to push the Docker image to the project's registry. Grant the operations team access to each development team's registry.

Answer: D

Explanation:
Reference: https://cloud.google.com/container-registry/

NEW QUESTION # 186
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