Professional Data Engineer

By Google · Question Mode

QuestionQ31

Maintaining and automating data workloads

You operate a data-processing application on Google Kubernetes Engine (GKE). Containers must launch using their latest available configurations from a container registry. Your GKE nodes require GPUs, local SSDs, and 8 Gbps of bandwidth. You want to provision the data-processing infrastructure efficiently and manage the deployment process. What should you do?

Explanation

Terraform defines and provisions GKE infrastructure declaratively, including the node configuration required for the workload, and maintains its state for repeatable updates. Cloud Build can automate the build and deployment workflow and deploy a specified current container image to GKE, making it the appropriate infrastructure-as-code and deployment combination.

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