Professional-Cloud-Developer Test Answers - Unparalleled Google Certified Professional - Cloud Developer

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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Ensuring application performance and reliability	- Monitoring and logging (Cloud Monitoring, Cloud Logging) - Performance optimization - Fault tolerance and incident response
Designing cloud-native applications	- Application architecture design - Microservices design principles - Scalability and resiliency patterns
Deploying applications	- Release management strategies - CI/CD pipelines - Containerization and deployment (Cloud Run, GKE)
Integrating Google Cloud services	- Using managed services (Pub/Sub, Firestore, Cloud SQL) - API integration and service-to-service communication
Building and testing applications	- Application development on Google Cloud - Debugging and troubleshooting applications - Unit and integration testing strategies

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Google Certified Professional - Cloud Developer Sample Questions (Q44-Q49):

NEW QUESTION # 44
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. 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.
B. 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.
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. 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.

Answer: A

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

NEW QUESTION # 45
The new version of your containerized application has been tested and is ready to deploy to production on Google Kubernetes Engine. You were not able to fully load-test the new version in pre-production environments, and you need to make sure that it does not have performance problems once deployed. Your deployment must be automated. What should you do?

A. Use Cloud Load Balancing to slowly ramp up traffic between versions. Use Cloud Monitoring to look for performance issues.
B. Deploy the application via a continuous delivery pipeline using canary deployments. Use Cloud Monitoring to look for performance issues. and ramp up traffic as the metrics support it.
C. Deploy the application via a continuous delivery pipeline using blue/green deployments. Use Cloud Monitoring to look for performance issues, and launch fully when the metrics support it.
D. Deploy the application using kubectl and set the spec.updateStrategv.type to RollingUpdate. Use Cloud Monitoring to look for performance issues, and run the kubectl rollback command if there are any issues.

Answer: C

Explanation:
Explanation
https://cloud.google.com/architecture/implementing-deployment-and-testing-strategies-on-gke#perform_a_blueg

NEW QUESTION # 46
You want to upload files from an on-premises virtual machine to Google Cloud Storage as part of a data migration. These files will be consumed by Cloud DataProc Hadoop cluster in a GCP environment.
Which command should you use?

A. hadoop fs cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/
B. gcloud cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/
C. gsutil cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/
D. gcloud dataproc cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/

Answer: C

Explanation:
Explanation
The gsutil cp command allows you to copy data between your local file. storage. boto files generated by running "gsutil config"

NEW QUESTION # 47
You migrated some of your applications to Google Cloud. You are using a legacy monitoring platform deployed on-premises for both on-premises and cloud-deployed applications. You discover that your notification system is responding slowly to time-critical problems in the cloud applications. What should you do?

A. Replace your monitoring platform with Cloud Monitoring.
B. Migrate some traffic back to your old platform. Perform A/B testing on the two platforms concurrently.
C. Use Cloud Logging and Cloud Monitoring to capture logs, monitor, and send alerts. Send them to your existing platform.
D. Install the Cloud Monitoring agent on your Compute Engine instances.

Answer: C

NEW QUESTION # 48
You manage a microservice-based ecommerce platform on Google Cloud that sends confirmation emails to a third-party email service provider using a Cloud Function. Your company just launched a marketing campaign, and some customers are reporting that they have not received order confirmation emails. You discover that the services triggering the Cloud Function are receiving HTTP 500 errors. You need to change the way emails are handled to minimize email loss. What should you do?

A. Increase the Cloud Function's timeout to nine minutes.
B. Configure the sender application to publish the outgoing emails in a message to a Pub/Sub topic. Update the Cloud Function configuration to consume the Pub/Sub queue.
C. Configure the sender application to write emails to Memorystore and then trigger the Cloud Function.
When the function is triggered, it reads the email details from Memorystore and sends them to the email service.
D. Configure the sender application to retry the execution of the Cloud Function every one second if a request fails.

Answer: B

Explanation:
This is a robust and scalable approach. By decoupling the email sending process using Pub/Sub, you introduce a queueing mechanism. This ensures that even if the Cloud Function encounters an issue, the email messages are not lost but remain in the queue. Additionally, Pub/Sub can handle high throughput and provides retry mechanisms.

NEW QUESTION # 49
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