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Your customer has reliable information to indicate that they will use a certain amount of computing and analytics. The workloads are critical and they don't want to take a chance with VMs or BigQuery slots being unavailable during a peak period .
How can they ensure that they allocate the capacity?
- A . Send in the filled form to Google Cloud support to reserve the Compute Engine and BigQuery resources required.
B. Create reservations on Compute Engine and BigQuery.
C. On the day the capacity is required, set a scheduled job that will provision as many resources as required and lock it in.
D. Google Cloud is elastic for resources. You cannot reserve resources in advance; it is pay per use.
Suggested Answer: B
Explanation:
Create reservations on Compute Engine and BigQuery. You can reserve capacity in advance and use it over a period of time. You could also get a cost advantage.
=> There is no need for involved support. It is self-serve via the console.
=> You can reserve resources in advance when you have the need for it. And when you want to take a pay-per-use approach, that is also possible.
=> It is not a good idea to be lock in/hoard resources; you'll pay unnecessarily for resources. Also, it is difficult to time exactly when the demand will be.
References:
https://cloud.google.com/compute/docs/instances/reserving-zonal-resources
https://cloud.google.com/bigquery/docs/reservations-intro
Explanation:
Create reservations on Compute Engine and BigQuery. You can reserve capacity in advance and use it over a period of time. You could also get a cost advantage.
=> There is no need for involved support. It is self-serve via the console.
=> You can reserve resources in advance when you have the need for it. And when you want to take a pay-per-use approach, that is also possible.
=> It is not a good idea to be lock in/hoard resources; you'll pay unnecessarily for resources. Also, it is difficult to time exactly when the demand will be.
References:
https://cloud.google.com/compute/docs/instances/reserving-zonal-resources
https://cloud.google.com/bigquery/docs/reservations-intro
Posted : 26/01/2023 9:31 am