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Google Professional-Cloud-Developer Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Developer Sample Questions (Q216-Q221):

NEW QUESTION # 216
You are using Cloud Build to build and test application source code stored in Cloud Source Repositories. The build process requires a build tool not available in the Cloud Build environment.
What should you do?

A. Ask to have the binary added to the Cloud Build environment by filing a feature request against the Cloud
B. Download the binary from the internet during the build process.
C. Include the binary in your Cloud Source Repositories repository and reference it in your build scripts.
D. Build a custom cloud builder image and reference the image in your build steps.

Answer: D

Explanation:
Build public Issue Tracker.

NEW QUESTION # 217
You need to build a public API that authenticates, enforces quotas, and reports metrics for API callers. Which tool should you use to complete this architecture?

A. Cloud Endpoints
B. App Engine
C. GKE Ingress for HTTP(S) Load Balancing
D. Identity-Aware Proxy

Answer: A

Explanation:
https://cloud.google.com/endpoints/docs/openapi/quotas-overview

NEW QUESTION # 218
You are deploying your application to a Compute Engine virtual machine instance. Your application is configured to write its log files to disk. You want to view the logs in Stackdriver Logging without changing the application code.
What should you do?

A. Provide the log file folder path in the metadata of the instance to configure it to send the application logs.
B. Change the application to log to /var/log so that its logs are automatically sent to Stackdriver Logging.
C. Use a Stackdriver Logging Library to log directly from the application to Stackdriver Logging.
D. Install the Stackdriver Logging Agent and configure it to send the application logs.

Answer: D

NEW QUESTION # 219
Your team is responsible for maintaining an application that aggregates news articles from many different sources. Your monitoring dashboard contains publicly accessible real-time reports and runs on a Compute Engine instance as a web application. External stakeholders and analysts need to access these reports via a secure channel without authentication. How should you configure this secure channel?

A. Use Cloud Scheduler to trigger Cloud Build every hour to create an export from the reports. Store the reports in a public Cloud Storage bucket.
B. Add a public IP address to the instance. Use the service account key of the instance to encrypt the traffic.
C. Add an HTTP(S) load balancer in front of the monitoring dashboard. Set up a Google-managed SSL certificate on the load balancer for traffic encryption.
D. Add an HTTP(S) load balancer in front of the monitoring dashboard. Configure Identity-Aware Proxy to secure the communication channel.

Answer: C

Explanation:
This provides an external HTTPS endpoint, and uses Google-managed services and a valid SSL certificate.
https://cloud.google.com/load-balancing/docs/ssl-certificates/google-managed-certs

NEW QUESTION # 220
Your team develops stateless services that run on Google Kubernetes Engine (GKE). You need to deploy a new service that will only be accessed by other services running in the GKE cluster.
The service will need to scale as quickly as possible to respond to changing load. What should you do?

A. Use a Horizontal Pod Autoscaler to scale the containers, and expose them via a ClusterIP Service.
B. Use a Vertical Pod Autoscaler to scale the containers, and expose them via a ClusterIP Service.
C. Use a Horizontal Pod Autoscaler to scale the containers, and expose them via a NodePort Service.
D. Use a Vertical Pod Autoscaler to scale the containers, and expose them via a NodePort Service.

Answer: A

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/service#services_of_type_clusterip When you create a Service of type ClusterIP, Kubernetes creates a stable IP address that is accessible from nodes in the cluster.
https://cloud.google.com/kubernetes-engine/docs/concepts/horizontalpodautoscaler The Horizontal Pod Autoscaler changes the shape of your Kubernetes workload by automatically increasing or decreasing the number of Pods in response to the workload's CPU or memory consumption, or in response to custom metrics reported from within Kubernetes or external metrics from sources outside of your cluster.

NEW QUESTION # 221
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