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Google Professional Cloud Developer Practice Test Questions, Google Professional Cloud Developer Exam Practice Test Questions

The Professional Cloud Developer certificate validates the skills of the interested candidates in building highly available and scalable applications with the use of the tools and practices recommended by Google. The potential applicants for this certification must demonstrate practical experience with developer tools, Cloud-native applications, next-gen databases, and managed services. They also have the expertise in at least one programming language and can develop meaningful logs and metrics to trace and debug code. Those individuals pursuing this option must pass one qualifying exam.

Google Certified Professional - Cloud Developer Sample Questions (Q118-Q123):

NEW QUESTION # 118
You have an application written in Python running in production on Cloud Run. Your application needs to read/write data stored in a Cloud Storage bucket in the same project. You want to grant access to your application following the principle of least privilege. What should you do?

A. Create a user-managed service account with a custom Identity and Access Management (IAM) role.
B. Create a user-managed service account with the Project Editor Identity and Access Management (IAM) role.
C. Create a user-managed service account with the Storage Admin Identity and Access Management (IAM) role.
D. Use the default service account linked to the Cloud Run revision in production.

Answer: A

NEW QUESTION # 119
Your code is running on Cloud Functions in project A.
It is supposed to write an object in a Cloud Storage bucket owned by project B.
However, the write call is failing with the error "403 Forbidden".
What should you do to correct the problem?

A. Grant your user account the roles/storage.objectCreator role for the Cloud Storage bucket.
B. Grant the service-PROJECTA@gcf-admin-robot.iam.gserviceaccount.com service account the roles/ storage.objectCreator role for the Cloud Storage bucket.
C. Enable the Cloud Storage API in project B.
D. Grant your user account the roles/iam.serviceAccountUser role for the service-PROJECTA@gcf-adminrobot.
iam.gserviceaccount.com service account.

Answer: D

NEW QUESTION # 120
You have developed a Python application that you want to containerize and deploy to Cloud Run.
You have developed a Cloud Build pipeline with the following steps:

After triggering the pipeline, you notice in the Cloud Build logs that the final step of the pipeline fails and the container is unable to be deployed to Cloud Run. What is the cause of this issue, and how should you resolve it?

A. Unit tests in the pipeline are failing. Update the application code so that all unit tests pass, and rerun the pipeline.
B. Cloud Run does not allow unauthenticated invocations. Remove the --allow-unauthenticated parameter to enforce authentication on the application, and rerun the pipeline.
C. The Docker container image has not been pushed to Artifact Registry. Add a step to the pipeline to push the application container image to Artifact Registry, and rerun the pipeline.
D. The final step uses a Cloud Run instance name that does not match the container name. Update the deployment step so that the Cloud Run instance name matches the container name, and rerun the pipeline.

Answer: C

Explanation:
The pipeline steps in the image show that the Docker image is built, but there is no step to push the built image to Artifact Registry. Cloud Run requires the container image to be in a registry (such as Artifact Registry or Container Registry) before it can be deployed. Adding a step to push the container image to Artifact Registry after it is built will make the image available for deployment, allowing the final step to deploy the application to Cloud Run successfully.

NEW QUESTION # 121
You configured your Compute Engine instance group to scale automatically according to overall CPU usage.
However, your application's response latency increases sharply before the cluster has finished adding up instances. You want to provide a more consistent latency experience for your end users by changing the configuration of the instance group autoscaler.
Which two configuration changes should you make? (Choose two.)

A. Add the label "AUTOSCALE" to the instance group template.
B. Decrease the target CPU usage for the instance group autoscaler.
C. Decrease the cool-down period for instances added to the group.
D. Increase the target CPU usage for the instance group autoscaler.
E. Remove the health-check for individual VMs in the instance group.

Answer: A,D

Explanation:
Explanation

NEW QUESTION # 122
You are planning to deploy hundreds of microservices in your Google Kubernetes Engine (GKE) cluster. How should you secure communication between the microservices on GKE using a managed service?

A. Deploy open source Istio in your GKE cluster, and enable mTLS in your Service Mesh
B. Install cert-manager on GKE to automatically renew the SSL certificates.
C. Install Anthos Service Mesh, and enable mTLS in your Service Mesh.
D. Use global HTTP(S) Load Balancing with managed SSL certificates to protect your services

Answer: C

Explanation:
Explanation
https://cloud.google.com/service-mesh/docs/overview#security_benefits
- Ensures encryption in transit. Using mTLS for authentication also ensures that all TCP communications are encrypted in transit.

NEW QUESTION # 123
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