PROFESSIONAL-CLOUD-DEVELOPER VALID BRAINDUMPS & LATEST PROFESSIONAL-CLOUD-DEVELOPER EXAM VCE

Professional-Cloud-Developer Valid Braindumps & Latest Professional-Cloud-Developer Exam Vce

Professional-Cloud-Developer Valid Braindumps & Latest Professional-Cloud-Developer Exam Vce

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Google Professional-Cloud-Developer Exam covers a wide range of topics related to cloud development, including application deployment, security, monitoring, and troubleshooting. Professional-Cloud-Developer exam consists of multiple-choice and scenario-based questions that assess the candidate's ability to apply their knowledge to real-world scenarios. Professional-Cloud-Developer Exam is timed, and candidates have two hours to complete it.

Google Certified Professional - Cloud Developer Sample Questions (Q129-Q134):

NEW QUESTION # 129
You want to re-architect a monolithic application so that it follows a microservices model. You want to accomplish this efficiently while minimizing the impact of this change to the business.
Which approach should you take?

  • A. Refactor the monolithic application with appropriate microservices in a single effort and deploy it.
  • B. Replace the application's features with appropriate microservices in phases.
  • C. Deploy the application to Compute Engine and turn on autoscaling.
  • D. Build a new application with the appropriate microservices separate from the monolith and replace it when

Answer: A

Explanation:
it is complete.


NEW QUESTION # 130
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. Deploy the modernized application to an n1-standard-1 Compute Engine instance.
  • B. Modernize and deploy the code on App Engine flexible environment.
  • C. Ask the development team to re-write the application to run as a Docker container on Google Kubernetes Engine.
  • D. Modernize and deploy the code on App Engine standard environment.

Answer: D

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


NEW QUESTION # 131
Your application is logging to Stackdriver. You want to get the count of all requests on all /api/alpha/* endpoints.
What should you do?

  • A. Add a Stackdriver counter metric for path:/api/alpha/.
  • B. Export the logs to Cloud Storage and count lines matching /api/alpha.
  • C. Add a Stackdriver counter metric for endpoint:/api/alpha/*.
  • D. Export the logs to Cloud Pub/Sub and count lines matching /api/alpha.

Answer: B

Explanation:
Explanation/Reference:


NEW QUESTION # 132
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 reached more gradually.
  • C. Use the XML API instead of the JSON API for interfacing with Cloud Storage.
  • D. Pass the HTTP response codes back to clients that are invoking the uploads from your application.

Answer: A

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


NEW QUESTION # 133
You manage your company's ecommerce platform's payment system, which runs on Google Cloud. Your company must retain user logs for 1 year for internal auditing purposes and for 3 years to meet compliance requirements. You need to store new user logs on Google Cloud to minimize on-premises storage usage and ensure that they are easily searchable. You want to minimize effort while ensuring that the logs are stored correctly. What should you do?

  • A. Store the logs in Cloud Logging as custom logs with a custom retention period.
  • B. Store the logs in a Cloud Storage bucket with a 3-year retention period.
  • C. Store the logs in a Cloud Storage bucket with bucket lock turned on.
  • D. Store the logs in a Cloud Storage bucket with a 1-year retention period. After 1 year, move the logs to another bucket with a 2-year retention period.

Answer: A

Explanation:
Explanation
https://cloud.google.com/logging/docs/buckets#custom-retention


NEW QUESTION # 134
......

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