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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Topic 1: Ensuring application performance and reliability	- Fault tolerance and incident response - Monitoring and logging (Cloud Monitoring, Cloud Logging) - Performance optimization
Topic 2: Building and testing applications	- Debugging and troubleshooting applications - Application development on Google Cloud - Unit and integration testing strategies
Topic 3: Integrating Google Cloud services	- Using managed services (Pub/Sub, Firestore, Cloud SQL) - API integration and service-to-service communication
Topic 4: Designing cloud-native applications	- Scalability and resiliency patterns - Application architecture design - Microservices design principles
Topic 5: Deploying applications	- Containerization and deployment (Cloud Run, GKE) - Release management strategies - CI/CD pipelines

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Google Certified Professional - Cloud Developer Sample Questions (Q320-Q325):

NEW QUESTION # 320
You are a developer working with the CI/CD team to troubleshoot a new feature that your team introduced. The CI/CD team used HashiCorp Packer to create a new Compute Engine image from your development branch. The image was successfully built, but is not booting up. You need to investigate the issue with the CI/CD team. What should you do?

A. Check Compute Engine OS logs using the serial port, and check the Cloud Logging logs to confirm access to the serial port.
B. Shut down the deployed virtual machine, export the disk, and then mount the disk locally to access the boot logs.
C. Install Packer locally, build the Compute Engine image locally, and then run it in your personal Google Cloud project.
D. Create a new feature branch, and ask the build team to rebuild the image.

Answer: C

Explanation:
https://cloud.google.com/compute/docs/troubleshooting/troubleshooting-using-serial-console

NEW QUESTION # 321
Your company has deployed a new API to a Compute Engine instance. During testing, the API is not behaving as expected. You want to monitor the application over 12 hours to diagnose the problem within the application code without redeploying the application. Which tool should you use?

A. Cloud Trace
B. Cloud Debugger logpoints
C. Cloud Debugger snapshots
D. Cloud Monitoring

Answer: B

Explanation:
Explanation
https://cloud.google.com/debugger/docs/using/logpoints
Logpoints allow you to inject logging into running services without restarting or interfering with the normal function of the service

NEW QUESTION # 322
Your team is developing unit tests for Cloud Function code. The code is stored in a Cloud Source Repositories repository. You are responsible for implementing the tests. Only a specific service account has the necessary permissions to deploy the code to Cloud Functions. You want to ensure that the code cannot be deployed without first passing the tests. How should you configure the unit testing process?

A. Configure Cloud Build to run the unit tests, using the specific service account as the build agent. If the code passes the tests, Cloud Build deploys the Cloud Function.
B. Configure Cloud Build to run the unit tests. If the code passes the tests, the developer deploys the Cloud Function.
C. Configure Cloud Build to deploy the Cloud Function. If the code passes the tests, a deployment approval is sent to you.
D. Configure Cloud Build to deploy the Cloud Function, using the specific service account as the build agent. Run the unit tests after successful deployment.

Answer: A

NEW QUESTION # 323
You need to containerize a web application that will be hosted on Google Cloud behind a global load balancer with SSL certificates. You don't have the time to develop authentication at the application level, and you want to offload SSL encryption and management from your application.
You want to configure the architecture using managed services where possible. What should you do?

A. Host the application on Google Kubernetes Engine, and deploy an NGINX Ingress Controller to handle authentication.
B. Host the application on Google Kubernetes Engine, and use Identity-Aware Proxy (IAP) with Cloud Load Balancing and Google-managed certificates.
C. Host the application on Compute Engine, and configure Cloud Endpoints for your application.
D. Host the application on Google Kubernetes Engine, and deploy cert-manager to manage SSL certificates.

Answer: B

Explanation:
IAP provides a way to control access to applications running on GCP without the need for traditional VPNs. It works by verifying a user's identity and determining if that user should be allowed access to the application. This is especially useful since you do not have the time to develop authentication at the application level. IAP can handle this for you.

NEW QUESTION # 324
HipLocal's data science team wants to analyze user reviews.
How should they prepare the data?

A. Use the Cloud Data Loss Prevention API for de-identification of the review dataset.
B. Use the Cloud Natural Language Processing API for redaction of the review dataset.
C. Use the Cloud Natural Language Processing API for de-identification of the review dataset.
D. Use the Cloud Data Loss Prevention API for redaction of the review dataset.

Answer: A

Explanation:
https://cloud.google.com/dlp/docs/deidentify-sensitive-data

NEW QUESTION # 325
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