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Google Professional-Cloud-Developer certification exam is designed to test the skills and knowledge required to develop and deploy cloud applications using the Google Cloud Platform. Google Certified Professional - Cloud Developer certification is suitable for individuals who have experience working with Google Cloud technologies and want to demonstrate their expertise in cloud application development.

Google Professional-Cloud-Developer exam is designed to test the skills and knowledge of professionals who are developers and architects in the cloud computing industry. Google Certified Professional - Cloud Developer certification is ideal for individuals who are interested in developing cloud-based applications on the Google Cloud Platform. Professional-Cloud-Developer Exam is designed to test the candidate's proficiency in programming languages like Java, Python, and Node.js, and their ability to develop, test, and deploy applications on the Google Cloud Platform.

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To become a Google Certified Professional - Cloud Developer, candidates must pass the Professional-Cloud-Developer exam, which is a comprehensive test of their knowledge of GCP services and the best practices for developing applications on the platform. Professional-Cloud-Developer exam is designed to assess a candidate's ability to build and manage scalable, reliable, and secure applications that meet business objectives. Professional-Cloud-Developer Exam is also designed to test a candidate's ability to use GCP tools and services to optimize application performance and manage application resources.

Google Certified Professional - Cloud Developer Sample Questions (Q329-Q334):

NEW QUESTION # 329
You are writing from a Go application to a Cloud Spanner database. You want to optimize your application's performance using Google-recommended best practices. What should you do?

A. Write to Cloud Spanner using Google API Client Libraries
B. Write to Cloud Spanner using a custom gRPC client library.
C. Write to Cloud Spanner using Cloud Client Libraries.
D. Write to Cloud Spanner using a third-party HTTP client library.

Answer: C

Explanation:
Explanation
https://cloud.google.com/apis/docs/cloud-client-libraries
"Cloud Client Libraries are the recommended option for accessing Cloud APIs programmatically, where available. Cloud Client Libraries use the latest client library models"
https://cloud.google.com/apis/docs/client-libraries-explained
https://cloud.google.com/go/docs/reference

NEW QUESTION # 330
Your service adds text to images that it reads from Cloud Storage. During busy times of the year, requests to Cloud Storage fail with an HTTP 429 "Too Many Requests" status code.
How should you handle this error?

A. Request a quota increase from the GCP Console.
B. Add a cache-control header to the objects.
C. Change the storage class of the Cloud Storage bucket to Multi-regional.
D. Retry the request with a truncated exponential backoff strategy.

Answer: D

Explanation:
A Cloud Storage JSON API usage limit was exceeded. If your application tries to use more than its limit, additional requests will fail. Throttle your client's requests, and/or use truncated exponential backoff.
https://cloud.google.com/storage/docs/json_api/v1/status-codes

NEW QUESTION # 331
Your teammate has asked you to review the code below, which is adding a credit to an account balance in Cloud Datastore.
Which improvement should you suggest your teammate make?

A. Get the entity with an ancestor query.
B. Get and put the entity in a transaction.
C. Use a strongly consistent transactional database.
D. Don't return the account entity from the function.

Answer: A

Explanation:
Explanation/Reference:

NEW QUESTION # 332
Your team is trying to reduce their cloud spend, and you want to evaluate your GKE Autopilot cluster costs. When reviewing the manifests, you see that resource requests are currently not specified. Your application is stateless and fault-tolerant, and there are no specific hardware or memory requirements on nodes. You want to modify the cluster to be scalable and cost-effective as quickly as possible while maintaining a cluster with sufficient computing resources. What should you do?

A. Set up Cloud Trace and Cloud Monitoring, identify the maximum memory used in the past
30 days, and set the YAML manifest to request that amount of memory.
B. In the YAML deployment configuration manifest, request and set the maximum CPU to 5 vCPU.
C. Request that your Pods run as Spot Pods, and use the cloud.google.com/gke-spot=true label in your YAML manifest.
D. Request the Balanced compute class in your YAML manifest.

Answer: C

Explanation:
Running Pods as Spot Pods with the cloud.google.com/gke-spot=true label reduces costs significantly for stateless, fault-tolerant workloads while maintaining scalability and sufficient resources in your GKE Autopilot cluster.

NEW QUESTION # 333
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. Distribute the uploads across a large number of individual storage buckets.
B. Limit the upload rate from your application clients so that the dormant bucket's peak request rate is
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: A

Explanation:
reached more gradually.

NEW QUESTION # 334
......

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