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Google Professional-Cloud-Developer Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Developer Sample Questions (Q180-Q185):

NEW QUESTION # 180
You want to migrate an on-premises container running in Knative to Google Cloud. You need to make sure that the migration doesn't affect your application's deployment strategy, and you want to use a fully managed service. Which Google Cloud service should you use to deploy your container?

A. Compute Engine
B. Google Kubernetes Engine
C. Cloud Run
D. App Engine flexible environment

Answer: C

Explanation:
Explanation
https://cloud.google.com/blog/products/serverless/knative-based-cloud-run-services-are-ga

NEW QUESTION # 181
You recently developed a new application. You want to deploy the application on Cloud Run without a Dockerfile. Your organization requires that all container images are pushed to a centrally managed container repository. How should you build your container using Google Cloud services? (Choose two.)

A. Include the --platform=kubernetes flag with the gcloud run deploy CLI command.
B. Use the pack build command with pack CLI.
C. Include the --source flag with the gcloud run deploy CLI command.
D. Submit a Cloud Build job to push the image.
E. Push your source code to Artifact Registry.

Answer: B,E

Explanation:
Explanation
https://cloud.google.com/run/docs/deploying#images
https://cloud.google.com/blog/products/containers-kubernetes/google-cloud-now-supports-buildpacks

NEW QUESTION # 182
You are using Cloud Build build to promote a Docker image to Development, Test, and Production environments. You need to ensure that the same Docker image is deployed to each of these environments.
How should you identify the Docker image in your build?

A. Use the digest of the Docker image.
B. Use a semantic version Docker image tag.
C. Use a unique Docker image name.
D. Use the latest Docker image tag.

Answer: A

Explanation:
https://cloud.google.com/architecture/using-container-images

NEW QUESTION # 183
Your application is running on Compute Engine and is showing sustained failures for a small number of requests. You have narrowed the cause down to a single Compute Engine instance, but the instance is unresponsive to SSH. What should you do next?

A. Enable and check the serial port output.
B. Reboot the machine.
C. Delete the machine and create a new one.
D. Take a snapshot of the disk and attach it to a new machine.

Answer: B

NEW QUESTION # 184
Your team has created an application that is hosted on a GKE cluster. You need to connect the application to a REST service that is deployed in two GKE clusters in two different regions. How should you set up the connection and health checks? (Choose two.)

A. Use Cloud Service Mesh with proxyless gRPC to connect the application to the REST service.
B. Use Cloud Service Mesh with sidecar proxies to connect the application to the REST service.
C. Configure the REST service's firewall to allow health checks originating from the GKE service's IP ranges.
D. Configure the REST service's firewall to allow health checks originating from the GKE control plane's IP ranges.
E. Configure the REST service's firewall to allow health checks originating from the GKE check probe's IP ranges.

Answer: B,E

Explanation:
Use Cloud Service Mesh with sidecar proxies: Cloud Service Mesh (based on Istio) is an effective solution for connecting services across multiple GKE clusters and regions. The sidecar proxies can manage and secure traffic between the application and the REST service, providing features like traffic routing, observability, and resilience.
Configure the REST service's firewall to allow health checks originating from the GKE check probe's IP ranges: Health checks for services deployed in GKE often originate from specific probe IP ranges. Configuring the firewall to allow these probes ensures that health checks can pass through to the REST service, allowing GKE to monitor the availability and health of the REST service effectively.
Options involving proxyless gRPC and control plane IP ranges are not applicable for REST services and are not the best practices for managing firewall rules for health checks in this context.

NEW QUESTION # 185
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