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You have an analytics application that runs hundreds of queries on BigQuery every few minutes using BigQuery API. You want to find out how much time these queries take to execute. What should you do?

A.

Use Stackdriver Monitoring to plot slot usage.

B.

Use Stackdriver Trace to plot API execution time.

C.

Use Stackdriver Trace to plot query execution time.

D.

Use Stackdriver Monitoring to plot query execution times.

You are planning to deploy hundreds of microservices in your Google Kubernetes Engine (GKE) cluster. How should you secure communication between the microservices on GKE using a managed service?

A.

Use global HTTP(S) Load Balancing with managed SSL certificates to protect your services

B.

Deploy open source Istio in your GKE cluster, and enable mTLS in your Service Mesh

C.

Install cert-manager on GKE to automatically renew the SSL certificates.

D.

Install Anthos Service Mesh, and enable mTLS in your Service Mesh.

Your company uses Cloud Logging to manage large volumes of log data. You need to build a real-time log analysis architecture that pushes logs to a third-party application for processing. What should you do?

A.

Create a Cloud Logging log export to Pub/Sub.

B.

Create a Cloud Logging log export to BigQuery.

C.

Create a Cloud Logging log export to Cloud Storage.

D.

Create a Cloud Function to read Cloud Logging log entries and send them to the third-party application.

You recently deployed your application in Google Kubernetes Engine, and now need to release a new version of your application. You need the ability to instantly roll back to the previous version in case there are issues with the new version. Which deployment model should you use?

A.

Perform a rolling deployment, and test your new application after the deployment is complete.

B.

Perform A/B testing, and test your application periodically after the new tests are implemented.

C.

Perform a blue/green deployment, and test your new application after the deployment is. complete.

D.

Perform a canary deployment, and test your new application periodically after the new version is deployed.

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 /workspace 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 /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.

C.

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.

D.

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.

Your teammate has asked you to review the code below. Its purpose is to efficiently add a large number of small rows to a BigQuery table.

Which improvement should you suggest your teammate make?

A.

Include multiple rows with each request.

B.

Perform the inserts in parallel by creating multiple threads.

C.

Write each row to a Cloud Storage object, then load into BigQuery.

D.

Write each row to a Cloud Storage object in parallel, then load into BigQuery.

You are developing an application using different microservices that should remain internal to the cluster. You want to be able to configure each microservice with a specific number of replicas. You also want to be able to address a specific microservice from any other microservice in a uniform way, regardless of the number of replicas the microservice scales to. You need to implement this solution on Google Kubernetes Engine. What should you do?

A.

Deploy each microservice as a Deployment. Expose the Deployment in the cluster using a Service, and use the Service DNS name to address it from other microservices within the cluster.

B.

Deploy each microservice as a Deployment. Expose the Deployment in the cluster using an Ingress, and use the Ingress IP address to address the Deployment from other microservices within the cluster.

C.

Deploy each microservice as a Pod. Expose the Pod in the cluster using a Service, and use the Service DNS name to address the microservice from other microservices within the cluster.

D.

Deploy each microservice as a Pod. Expose the Pod in the cluster using an Ingress, and use the Ingress IP address name to address the Pod from other microservices within the cluster.

Your company’s development teams want to use various open source operating systems in their Docker builds. When images are created in published containers in your company’s environment, you need to scan them for Common Vulnerabilities and Exposures (CVEs). The scanning process must not impact software development agility. You want to use managed services where possible. What should you do?

A.

Enable the Vulnerability scanning setting in the Container Registry.

B.

Create a Cloud Function that is triggered on a code check-in and scan the code for CVEs.

C.

Disallow the use of non-commercially supported base images in your development environment.

D.

Use Cloud Monitoring to review the output of Cloud Build to determine whether a vulnerable version has been used.

You are responsible for deploying a new API. That API will have three different URL paths:

• https://yourcompany.com/students

• https://yourcompany.com/teachers

• https://yourcompany.com/classes

You need to configure each API URL path to invoke a different function in your code. What should you do?

A.

Create one Cloud Function as a backend service exposed using an HTTPS load balancer.

B.

Create three Cloud Functions exposed directly.

C.

Create one Cloud Function exposed directly.

D.

Create three Cloud Functions as three backend services exposed using an HTTPS load balancer.

Your data is stored in Cloud Storage buckets. Fellow developers have reported that data downloaded from Cloud Storage is resulting in slow API performance. You want to research the issue to provide details to the GCP support team. Which command should you run?

A.

gsutil test –o output.json gs://my-bucket

B.

gsutil perfdiag –o output.json gs://my-bucket

C.

gcloud compute scp example-instance:~/test-data –o output.json gs://my-bucket

D.

gcloud services test –o output.json gs://my-bucket