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Google Professional-Cloud-Developer Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Developer Sample Questions (Q238-Q243):

NEW QUESTION # 238
Your application is built as a custom machine image. You have multiple unique deployments of the machine image. Each deployment is a separate managed instance group with its own template. Each deployment requires a unique set of configuration values. You want to provide these unique values to each deployment but use the same custom machine image in all deployments. You want to use out-of-the-box features of Compute Engine. What should you do?

A. Place the unique configuration values in the instance template instance metadata.
B. Place the unique configuration values in a Cloud Bigtable table.
C. Place the unique configuration values in the instance template startup script.
D. Place the unique configuration values in the persistent disk.

Answer: D

Explanation:
Reference: https://cloud.google.com/compute/docs/instance-groups

NEW QUESTION # 239
You are developing an HTTP API hosted on a Compute Engine virtual machine instance that needs to be invoked by multiple clients within the same Virtual Private Cloud (VPC). You want clients to be able to get the IP address of the service.
What should you do?

A. Ensure that clients use Compute Engine internal DNS by connecting to the instance name with the url
https://[API_NAME]/[API_VERSION]/.
B. Reserve a static external IP address and assign it to an HTTP(S) load balancing service's forwarding rule.
Clients should use this IP address to connect to the service.
C. Reserve a static external IP address and assign it to an HTTP(S) load balancing service's forwarding rule.
Then, define an A record in Cloud DNS. Clients should use the name of the A record to connect to the service.
D. Ensure that clients use Compute Engine internal DNS by connecting to the instance name with the url
https://[INSTANCE_NAME].[ZONE].c.[PROJECT_ID].internal/.

Answer: A

NEW QUESTION # 240
You are deploying a single website on App Engine that needs to be accessible via the URL http:// www.altostrat.com/.
What should you do?

A. Define a mapping in dispatch.yaml to point the domain www.altostrat.com to your App Engine service.
Define an A record pointing to the single global App Engine IP address.
B. Define a mapping in dispatch.yaml to point the domain www.altostrat.com to your App Engine service.
Create a DNS CNAME record to point to the App Engine canonical name ghs.googlehosted.com.
C. Verify domain ownership with Webmaster Central.
Define an A record pointing to the single global App Engine IP address.
D. Verify domain ownership with Webmaster Central.
Create a DNS CNAME record to point to the App Engine canonical name ghs.googlehosted.com.

Answer: D

Explanation:
https://cloud.google.com/appengine/docs/flexible/dotnet/mapping-custom-domains?hl=fa

NEW QUESTION # 241
You are developing an ecommerce application that stores customer, order, and inventory data as relational tables inside Cloud Spanner. During a recent load test, you discover that Spanner performance is not scaling linearly as expected. Which of the following is the cause?

A. The use of Version 1 UUIDs as primary keys that increase monotonically.
B. The use of LIKE instead of STARTS_WITH keyword for parameterized SQL queries.
C. The use of the STRING data type for arbitrary-precision values.
D. The use of 64-bit numeric types for 32-bit numbers.

Answer: A

Explanation:
https://cloud.google.com/spanner/docs/schema-and-data-model#choosing_a_primary_key

NEW QUESTION # 242
The new version of your containerized application has been tested and is ready to deploy to production on Google Kubernetes Engine. You were not able to fully load-test the new version in pre-production environments, and you need to make sure that it does not have performance problems once deployed. Your deployment must be automated. What should you do?

A. Use Cloud Load Balancing to slowly ramp up traffic between versions. Use Cloud Monitoring to look for performance issues.
B. Deploy the application via a continuous delivery pipeline using blue/green deployments. Use Cloud Monitoring to look for performance issues, and launch fully when the metrics support it.
C. Deploy the application using kubectl and set the spec.updateStrategv.type to RollingUpdate. Use Cloud Monitoring to look for performance issues, and run the kubectl rollback command if there are any issues.
D. Deploy the application via a continuous delivery pipeline using canary deployments. Use Cloud Monitoring to look for performance issues. and ramp up traffic as the metrics support it.

Answer: B

Explanation:
https://cloud.google.com/architecture/implementing-deployment-and-testing-strategies-on-gke#perform_a_bluegreen_deployment

NEW QUESTION # 243
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