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[General] Reliable Professional-Cloud-Developer Dumps | Professional-Cloud-Developer Dumps

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【General】 Reliable Professional-Cloud-Developer Dumps | Professional-Cloud-Developer Dumps

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Google Certified Professional - Cloud Developer Sample Questions (Q170-Q175):NEW QUESTION # 170
Your application is deployed on hundreds of Compute Engine instances in a managed instance group (MIG) in multiple zones. You need to deploy a new instance template to fix a critical vulnerability immediately but must avoid impact to your service. What setting should be made to the MIG after updating the instance template?
  • A. Set the Update mode to Opportunistic.
  • B. Set the Maximum Unavailable to 100%.
  • C. Set the Max Surge to 100%.
  • D. Set the Minimum Wait time to 0 seconds.
Answer: A
Explanation:
https://cloud.google.com/compute ... nstance-groups#type Alternatively, if an automated update is potentially too disruptive, you can choose to perform an opportunistic update. The MIG applies an opportunistic update only when you manually initiate the update on selected instances or when new instances are created. New instances can be created when you or another service, such as an autoscaler, resizes the MIG. Compute Engine does not actively initiate requests to apply opportunistic updates on existing instances.

NEW QUESTION # 171
You have an application running on Cloud Run that receives a large volume of traffic. You need to deploy a new version of the application. You want your deployment process to minimize the risk of downtime while following Google-recommended practices. What should you do?
  • A. Use Cloud Build to create a pipeline, and configure a test stage before the deployment stage.
    When all tests pass, deploy the application to Cloud Run, and direct 100% of users to this new version of the application. Roll back if any issues are detected.
  • B. Use traffic splitting to have a small percentage of users test out new features on the new revision of the application on the production Cloud Run service. If performance meets expectations, gradually increase the percentage of users until it reaches 100%.
  • C. Use Cloud Load Balancing to route a percentage of production traffic to a separate Cloud Run service running the new version of the application. If performance meets expectations, gradually increase the percentage of users until the new Cloud Run service reaches 100%.
  • D. Use Cloud Run emulator to test changes locally before deploying the new version of the application to the production Cloud Run service.
Answer: B
Explanation:
Traffic splitting in Cloud Run allows you to route a specific percentage of users to a new revision of your service, making it possible to test the new version with real traffic while minimizing the risk of downtime. This gradual rollout approach helps you monitor performance and user experience, and if issues arise, you can easily adjust the traffic split or revert to the previous version. This aligns with Google-recommended practices for safe, low-risk deployments in Cloud Run.
Options like testing locally with a Cloud Run emulator or deploying after passing tests in a pipeline are useful for initial testing but do not provide the gradual, controlled release approach that traffic splitting offers. Using Cloud Load Balancing is not necessary here, as Cloud Run has built-in traffic splitting capabilities designed for this purpose.

NEW QUESTION # 172
Your team developed a web-based game that has many simultaneous players. Recently, users have started to complain that the leaderboard tallies the top scores too slowly. You investigated the issue and discovered that the application stack is currently using Cloud SQL for PostgreSQL.
You want to improve the leaderboard performance as much as possible to provide a better user experience. What should you do?
  • A. Update Cloud SQL for PostgreSQL to the latest version.
  • B. Migrate the database and store the data in AlloyDB.
  • C. Re-implement the leaderboard data to be stored in Memorystore for Redis.
  • D. Optimize the SQL queries to minimize slow-running queries.
Answer: C
Explanation:
Memorystore for Redis is an in-memory data store that provides sub-millisecond latency and is ideal for real-time leaderboard use cases, significantly improving performance for rapidly changing, high-read workloads compared to Cloud SQL.

NEW QUESTION # 173
Your existing application keeps user state information in a single MySQL database. This state information is very user-specific and depends heavily on how long a user has been using an application. The MySQL database is causing challenges to maintain and enhance the schema for various users.
Which storage option should you choose?
  • A. Cloud Spanner
  • B. Cloud Storage
  • C. Cloud Datastore/Firestore
  • D. Cloud SQL
Answer: D
Explanation:
Explanation/Reference: https://cloud.google.com/solutio ... to-cloudsql-concept

NEW QUESTION # 174
Your company's corporate policy states that there must be a copyright comment at the very beginning of all source files. You want to write a custom step in Cloud Build that is triggered by each source commit. You need the trigger to validate that the source contains a copyright and add one for subsequent steps if not there.
What should you do?
  • A. Build a new Docker container that examines the files in a Cloud Storage bucket and then checks and adds a copyright for each source file. Changed files are explicitly committed back to the source repository.
  • B. Build a new Docker container that examines the files in a Cloud Storage bucket and then checks and adds a copyright for each source file. Changed files are written back to the Cloud Storage bucket.
  • C. Build a new Docker container that examines the files in /workspace and then checks and adds a copyright for each source file. Changed files do not need to be committed back to the source repository.
  • D. Build a new Docker container that examines the files in /workspace and then checks and adds a copyright for each source file. Changed files are explicitly committed back to the source repository.
Answer: D
Explanation:
Explanation
https://cloud.google.com/build/d ... ata_using_workspace To pass data between build steps, store the assets produced by the build step in /workspace and these assets will be available to any subsequent build steps.

NEW QUESTION # 175
......
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