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Google Professional-Cloud-Developer Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Developer Sample Questions (Q174-Q179):

NEW QUESTION # 174
You have decided to migrate your Compute Engine application to Google Kubernetes Engine. You need to build a container image and push it to Artifact Registry using Cloud Build. What should you do? (Choose two.) A) Run gcloud builds submit in the directory that contains the application source code.
B)
Run gcloud run deploy app-name --image gcr.io/$PROJECT_ID/app-name in the directory that contains the application source code.
C)
Run gcloud container images add-tag gcr.io/$PROJECT_ID/app-name gcr.io/$PROJECT_ID/app-name:latest in the directory that contains the application source code.
D)
In the application source directory, create a file named cloudbuild.yaml that contains the following contents:

E)
In the application source directory, create a file named cloudbuild.yaml that contains the following contents:

A. Option A
B. Option B
C. Option D
D. Option E
E. Option C

Answer: A,C

Explanation:
https://cloud.google.com/sdk/gcloud/reference/builds/submit
https://cloud.google.com/artifact-registry/docs/configure-cloud-build

NEW QUESTION # 175
You are in the final stage of migrating an on-premises data center to Google Cloud. You are quickly approaching your deadline, and discover that a web API is running on a server slated for decommissioning. You need to recommend a solution to modernize this API while migrating to Google Cloud. The modernized web API must meet the following requirements:
- Autoscales during high traffic periods at the end of each month
- Written in Python 3.x
- Developers must be able to rapidly deploy new versions in response to frequent code changes You want to minimize cost, effort, and operational overhead of this migration. What should you do?

A. Modernize and deploy the code on App Engine flexible environment.
B. Modernize and deploy the code on App Engine standard environment.
C. Ask the development team to re-write the application to run as a Docker container on Google Kubernetes Engine.
D. Deploy the modernized application to an n1-standard-1 Compute Engine instance.

Answer: B

Explanation:
https://cloud.google.com/appengine/docs/standard

NEW QUESTION # 176
Your development team has built several Cloud Functions using Java along with corresponding integration and service tests. You are building and deploying the functions and launching the tests using Cloud Build. Your Cloud Build job is reporting deployment failures immediately after successfully validating the code. What should you do?

A. Verify that the Cloud Build service account is assigned the Cloud Functions Developer role.
B. Check the maximum number of Cloud Function instances.
C. Retry the tests using the truncated exponential backoff polling strategy.
D. Verify that your Cloud Build trigger has the correct build parameters.

Answer: A

Explanation:
https://cloud.google.com/build/docs/securing-builds/configure-access-for-cloud-build-service- account#granting_a_role_using_the_iam_page
https://cloud.google.com/build/docs/troubleshooting#build_trigger_fails_due_to_missing_cloudbuil dbuildscreate_permission

NEW QUESTION # 177
You are load testing your server application. During the first 30 seconds, you observe that a previously inactive Cloud Storage bucket is now servicing 2000 write requests per second and 7500 read requests per second.
Your application is now receiving intermittent 5xx and 429 HTTP responses from the Cloud Storage JSON API as the demand escalates. You want to decrease the failed responses from the Cloud Storage API.
What should you do?

A. Limit the upload rate from your application clients so that the dormant bucket's peak request rate is reached more gradually.
B. Distribute the uploads across a large number of individual storage buckets.
C. Pass the HTTP response codes back to clients that are invoking the uploads from your application.
D. Use the XML API instead of the JSON API for interfacing with Cloud Storage.

Answer: B

Explanation:
Reference:
https://cloud.google.com/storage/docs/request-rate

NEW QUESTION # 178
Your application named ecom-web-app is deployed in three GKE clusters: ecom-web-app-dev, ecom-web-app-qa, and ecom-web-app-prod. You need to ensure that only trusted container images are deployed to the ecom-web-app-prod GKE cluster in the production environment while following Google-recommended practices. What should you do?

A. Set up an image verification process by using Cloud Functions where the function is invoked when a container image is built in Cloud Build and ensures that only trusted container images are stored in Artifact Registry.
B. Set up an image verification process that scans the container images in Artifact Registry for vulnerabilities and tags the image versions that fail the scan as untrusted.
C. Set up Binary Authorization, and define cluster-specific rules in clusterAdmissionRules nodes in the policy YAML file.
D. Set up Binary Authorization, and exempt any container images that are not deployed to the ecom- web-app-prod GKE cluster.

Answer: C

Explanation:
Binary Authorization is a Google-recommended security feature that enforces deploy-time security policies for containerized applications running on GKE. By setting up Binary Authorization and defining cluster-specific rules using the clusterAdmissionRules in the policy YAML file, you can ensure that only trusted and verified container images are deployed to the ecom-web-app-prod GKE cluster. This setup allows you to configure specific rules for the production environment, providing an added layer of security and control over which images can be deployed.
Other options, like using an image verification process alone, do not enforce strict deploy-time policies directly at the cluster level and thus may not prevent untrusted images from being deployed.

NEW QUESTION # 179
......

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