Is the use of reserved VMs applicable for the below usecases in dataproc?
1. Dedicated cluster: this we could and will do reservation
2. On-demand cluster: this means that whenever the job runs, it will trigger to create a new cluster and after the jobs are done the cluster will be deleted (is this kind of setup also applicable for reservation?)
3. Serverless: same case as on-demand cluster but using gcp managed serverless clusters (is it also applicable for reservation?)
Please provide your guidance on the optimal approach for utilizing Reserved VMs for these use cases.
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