Professional-Cloud-DevOps-Engineer Practice Questions

A.  

Use Cloud Profiler to inspect the Dataflow pipeline's execution graph to pinpoint the source of the excessive writes.

B.  

In the Google Cloud console, edit the Memorystore for Redis instance and increase its capacity tier.

C.  

Initiate an automated rollback of the Dataflow pipeline's deployment to revert to the last stable version.

D.  

Cancel the active Dataflow job.

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

A.  

Enable Packet Mirroring on the VPC

B.  

Install the Ops Agent on the Compute Engine instances.

C.  

Enable logging on the firewall rule

D.  

Enable VPC Flow Logs on the subnet

A.  

Create a Cloud Storage bucket and develop your application to send logs directly to the bucket.

B.  

Develop an App Engine application that pulls the logs from Stackdriver and saves them in BigQuery.

C.  

Create an export in Stackdriver and configure Cloud Pub/Sub to store logs in permanent storage for seven years.

D.  

Create a sink in Stackdriver, name it, create a bucket on Cloud Storage for storing archived logs, and then select the bucket as the log export destination.

A.  

Verify the maximum node pool size enable a Horizontal Pod Autoscaler and then perform a load lest to verify your expected resource needs

B.  

Because you deployed the service on GKE and are using a cluster autoscaler your GKE cluster will scale automatically regardless of growth rate

C.  

Because you are only using 30% of deployed CPU capacity there is significant headroom and you do not need to add any additional capacity for this rate of growth

D.  

Proactively add 80% more node capacity to account for six months of 10% growth rate and then perform a load test to ensure that you have enough capacity

A.  

Create a single new scoping project

B.  

Create new scoping projects for each folder

C.  

Use the current app-one-prod project as the scoping project

D.  

Use the current app-one-dev, app-one-staging and app-one-prod projects as the scoping project for each folder

A.  

Increase the CPU limit in Cloud Run from 2 to 4.

B.  

Use an HTTP health check.

C.  

Configure CPU to be allocated only during request processing.

D.  

Configure CPU to be always-allocated.

A.  

Create SLIs from metrics Enable Alert Policies if the services do not pass

B.  

Use the metrics from Anthos Service Mesh to measure the health of the microservices

C.  

Create a SLO Create an Alert Policy on select_slo_bum_rate

D.  

Create a SLO and configure uptime checks for your services Enable Alert Policies if the services do not pass

A.  

Apply a jsonPayload.user_email exclusion filter to the _Default bucket.

B.  

Apply the conditional role binding resource.name.extract("locations/global/buckets/(bucket)/") == "_Default" to the _Default bucket.

C.  

Apply a jsonPayload.user_email restricted field to the _Default bucket. Grant the Log Field Accessor role to the security team members.

D.  

Modify the application to toggle inclusion of user_email when the log_user_email environment variable is set to true. Restrict the engineering team members who can change the production environment variable by using the CODEOWNERS file.

A.  

Create a trigger on the Cloud Build job Set the repository event setting to Pull request'

B.  

Add the owners file to the Included files filter on the trigger

C.  

Create a trigger on the Cloud Build job Set the repository event setting to Push to a branch

D.  

Configure a branch protection rule for the main branch on the repository

E.  

Enable the Approval option on the trigger