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Google Professional Data Engineer Actual Exam Questions

307 Questions120 Minutes70% Passing Score▣ Updated: Sep 2026

Question 142 of 307

Single answer
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?
AUse Compute Engine startup scripts to pull container images, and use gcloud commands to provision the infrastructure.
BUse Cloud Build to schedule a job using Terraform build to provision the infrastructure and launch with the most current container images.
CUse GKE to autoscale containers, and use gcloud commands to provision the infrastructure.
DUse Dataflow to provision the data pipeline, and use Cloud Scheduler to run the job.
Correct Answer: B

Use Cloud Build to schedule a job using Terraform build to provision the infrastructure and launch with the most current container images.

Explanation

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