
Ultimate access to all questions.
You have a set of binaries for on-premises data analytics that perform in-memory data file processing for a duration of approximately 45 minutes every midnight. The data files being processed have sizes varying between 1 gigabyte and 16 gigabytes. Your goal is to migrate this application to Google Cloud in a way that minimizes both effort and cost. What approach should you take?
A
Create a container for the set of binaries. Use Cloud Scheduler to start a Cloud Run job for the container.
B
Create a container for the set of binaries. Deploy the container to Google Kubernetes Engine (GKE) and use the Kubernetes scheduler to start the application.
C
Upload the code to Cloud Functions. Use Cloud Scheduler to start the application.
D
Lift and shift to a VM on Compute Engine. Use an instance schedule to start and stop the instance.