Google Cloud Professional Data Engineer — Question 131

You have a data processing application that runs on Google Kubernetes Engine (GKE). Containers need to be launched with their latest available configurations from a container registry. Your GKE nodes need to have GPUs, local SSDs, and 8 Gbps bandwidth. You want to efficiently provision the data processing infrastructure and manage the deployment process. What should you do?

Answer options

• A. Use Compute Engine startup scripts to pull container images, and use gcloud commands to provision the infrastructure.
• B. Use Cloud Build to schedule a job using Terraform build to provision the infrastructure and launch with the most current container images.
• C. Use GKE to autoscale containers, and use gcloud commands to provision the infrastructure.
• D. Use Dataflow to provision the data pipeline, and use Cloud Scheduler to run the job.

Correct answer: B

Explanation

The correct answer is B because it effectively utilizes Cloud Build and Terraform to automate the provisioning of infrastructure while ensuring the most up-to-date container images are deployed. Options A and C do not offer the automation and efficiency required for this task, while D is not suitable as Dataflow is more focused on stream and batch processing than on infrastructure provisioning.