Professional-Cloud-DevOps-Engineer Dumps - Google Cloud Certified - Professional Cloud DevOps Engineer Exam Practice Exam Questions

A.  

Check the serial port logs of the Compute Engine instance.

B.  

Use Stackdriver Profiler to visualize the resources utilization throughout the application.

C.  

Determine whether there is an increased number of connections to the Cloud SQL instance.

D.  

Use Cloud Security Scanner to see whether your Cloud SQL is under a Distributed Denial of Service (DDoS) attack.

A.  

Look for the agent's test log entry in the Logs Viewer.

B.  

Install the most recent version of the Stackdriver agent.

C.  

Verify the VM service account access scope includes the monitoring.write scope.

D.  

SSH to the VM and execute the following commands on your VM: ps ax I grep fluentd

A.  

• Provide a secure file transfer protocol (SFTP) server on a Compute Engine instance so that thirdparties can upload batches of data and provide appropriate credentials to the server• Create a Cloud Function with a google.storage, object, finalize Cloud Storage trigger Write code so that the function can scale up a Compute Engine autoscaling managed instance group• Use an image pre-loaded with the data processing software that terminates th

B.  

• Provide a Cloud Storage bucket so that third parties can upload batches of data, and provideappropriate Identity and Access Management (1AM) access to the bucket• Use a standard Google Kubernetes Engine (GKE) cluster and maintain two services one that processes the batches of data and one that monitors Cloud Storage for new batches of data• Stop the processing service when there are no batches of data to process

C.  

• Provide a Cloud Storage bucket so that third parties can upload batches of data, and provide appropriate identity and Access Management (1AM) access to the bucket• Create a Cloud Function with a google, storage, object .finalise Cloud Storage trigger Write code so that the function can scale up a Compute Engine autoscaling managed instance group• Use an image pre-loaded with the data processing software that terminates the instances when

D.  

• Provide a Cloud Storage bucket so that third parties can upload batches of data, and provideappropriate Identity and Access Management (1AM) access to the bucket• Use Cloud Monitoring to detect new batches of data in the bucket and trigger a Cloud Function that processes the data• Set a Cloud Function to use the largest CPU possible to minimize the runtime of the processing