Google
PROFESSIONAL-DATA-ENGINEER · Question #287
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
Sign in or unlock PROFESSIONAL-DATA-ENGINEER to reveal the answer and full explanation for question #287. The question stem and answer options stay visible for context.
Submitted by renata2k· Mar 30, 2026Building and operationalizing data processing systems
Question
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?
Options
- 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.
Unlock PROFESSIONAL-DATA-ENGINEER to see the answer
You've previewed enough free PROFESSIONAL-DATA-ENGINEER questions. Unlock PROFESSIONAL-DATA-ENGINEER for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.
Topics
#GKE#Infrastructure as Code#CI/CD#Container Deployment