Google Professional Cloud Developer Professional Cloud Developer Dumps in PDF

Free Google Professional Cloud Developer Real Questions (page: 7)

You have an application in production. It is deployed on Compute Engine virtual machine instances controlled by a managed instance group. Traffic is routed to the instances via a HTTP(s) load balancer. Your users are unable to access your application. You want to implement a monitoring technique to alert you when the application is unavailable.

Which technique should you choose?

  1. Smoke tests
  2. Stackdriver uptime checks
  3. Cloud Load Balancing - heath checks
  4. Managed instance group - heath checks

Answer(s): B


Reference:

https://medium.com/google-cloud/stackdriver-monitoring-automation-part-3-uptime-checks-476b8507f59c



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?

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

Answer(s): A


Reference:

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



Your application is controlled by a managed instance group. You want to share a large read-only data set between all the instances in the managed instance group. You want to ensure that each instance can start quickly and can access the data set via its filesystem with very low latency. You also want to minimize the total cost of the solution.

What should you do?

  1. Move the data to a Cloud Storage bucket, and mount the bucket on the filesystem using Cloud Storage FUSE.
  2. Move the data to a Cloud Storage bucket, and copy the data to the boot disk of the instance via a startup script.
  3. Move the data to a Compute Engine persistent disk, and attach the disk in read-only mode to multiple Compute Engine virtual machine instances.
  4. Move the data to a Compute Engine persistent disk, take a snapshot, create multiple disks from the snapshot, and attach each disk to its own instance.

Answer(s): C



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?

  1. 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.
  2. 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.
  3. 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/.
  4. Ensure that clients use Compute Engine internal DNS by connecting to the instance name with the url https://[API_NAME]/[API_VERSION]/.

Answer(s): D



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

  1. Add a Stackdriver counter metric for path:/api/alpha/.
  2. Add a Stackdriver counter metric for endpoint:/api/alpha/*.
  3. Export the logs to Cloud Storage and count lines matching /api/alpha.
  4. Export the logs to Cloud Pub/Sub and count lines matching /api/alpha.

Answer(s): C



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