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Google Professional-Cloud-Developer Exam Syllabus Topics:

SectionObjectives
Build and test applications- Manage development environments
  • 1. Perform application testing
  • 2. Implement CI/CD pipelines
  • 3. Build application artifacts
Design scalable, available, and reliable cloud-native applications- Design highly performant applications and APIs
  • 1. Design resilient and scalable application architectures
  • 2. Design secure applications
  • 3. Choose storage options for application data
Deploy applications- Deploy applications to Google Cloud
  • 1. Deploy applications using Cloud Run
  • 2. Manage application rollout strategies
  • 3. Deploy applications to Google Kubernetes Engine
Manage application performance monitoring- Monitor and troubleshoot applications
  • 1. Optimize application performance
  • 2. Analyze metrics and alerts
  • 3. Configure logging and tracing
Integrate applications with Google Cloud services- Integrate with data and storage services
  • 1. Use messaging and event-driven services
  • 2. Integrate with Google Cloud APIs
  • 3. Implement authentication and authorization

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Google Certified Professional - Cloud Developer Sample Questions (Q375-Q380):

NEW QUESTION # 375
You have an application deployed in Google Kubernetes Engine (GKE). You need to update the application to make authorized requests to Google Cloud managed services. You want this to be a one-time setup, and you need to follow security best practices of auto-rotating your security keys and storing them in an encrypted store. You already created a service account with appropriate access to the Google Cloud service. What should you do next?

Answer: B

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/workload-identity Applications running on GKE might need access to Google Cloud APIs such as Compute Engine API, BigQuery Storage API, or Machine Learning APIs.
Workload Identity allows a Kubernetes service account in your GKE cluster to act as an IAM service account.
Pods that use the configured Kubernetes service account automatically authenticate as the IAM service account when accessing Google Cloud APIs. Using Workload Identity allows you to assign distinct, fine-grained identities and authorization for each application in your cluster.


NEW QUESTION # 376
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?

Answer: C

Explanation:
https://cloud.google.com/functions/docs/troubleshooting
The Cloud Functions service uses the Cloud Functions Service Agent service account (service-
<PROJECT_NUMBER>@gcf-admin-robot.iam.gserviceaccount.com) when performing administrative actions on your project. By default this account is assigned the Cloud Functions cloudfunctions.serviceAgent role. This role is required for Cloud Pub/Sub, IAM, Cloud Storage and Firebase integrations. If you have changed the role for this service account, deployment fails.


NEW QUESTION # 377
You are developing a web application that will be accessible over both HTTP and HTTPS and will run on Compute Engine instances. On occasion, you will need to SSH from your remote laptop into one of the Compute Engine instances to conduct maintenance on the app. How should you configure the instances while following Google-recommended best practices?

Answer: A

Explanation:
Reference: https://cloud.google.com/compute/docs/instances/connecting-advanced#cloud_iap
https://cloud.google.com/solutions/connecting-securely#storing_host_keys_by_enabling_guest_attributes


NEW QUESTION # 378
Your team is setting up a build pipeline for an application that will run in Google Kubernetes Engine (GKE). For security reasons, you only want images produced by the pipeline to be deployed to your GKE cluster. Which combination of Google Cloud services should you use?

Answer: C


NEW QUESTION # 379
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?

Answer: A

Explanation:
https://cloud.google.com/traffic-director/docs/advanced-traffic-management#weight- based_traffic_splitting_for_safer_deployments


NEW QUESTION # 380
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