Google Professional Data Engineer
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Ultimate access to all questions.
You are operating a data processing application on Google Kubernetes Engine (GKE) that requires containers to be initiated with their most recent configurations stored in a container registry. The GKE nodes must be equipped with GPUs, local SSDs, and 8 Gbps network bandwidth. To ensure efficient provisioning of the data processing infrastructure and streamlined management of the deployment process, what steps should you take?
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.