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Answer: Use Cloud Build to schedule a job using Terraform build to provision the infrastructure and launch with the most current container images.
Option B is the correct answer. Cloud Build allows you to automate the building, testing, and deployment of your application using Docker containers. Using Terraform with Cloud Build provides Infrastructure as Code capabilities to provision the GKE cluster with GPUs, SSDs, and network bandwidth. Terraform can be configured to pull the latest container images from the registry when deploying, and Cloud Build triggers provide event-based automation to rebuild and redeploy when container images are updated. This setup offers an automated CI/CD pipeline to launch the application on GKE using the desired infrastructure and the latest images, making it the most efficient solution.
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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.
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