DEA-C01 · Question #43
A data engineer uses Amazon Redshift to run resource-intensive analytics processes once every month. Every month, the data engineer creates a new Redshift provisioned cluster. The data engineer delete
The correct answer is B. Use Amazon Redshift Serverless to automatically process the analytics workload.. Use Amazon Redshift Serverless. This option allows the data engineer to focus on the analytics processes themselves without worrying about cluster provisioning, scaling, or management. It provides an on-demand, serverless solution that can handle variable workloads and is cost- e
Question
A data engineer uses Amazon Redshift to run resource-intensive analytics processes once every month. Every month, the data engineer creates a new Redshift provisioned cluster. The data engineer deletes the Redshift provisioned cluster after the analytics processes are complete every month. Before the data engineer deletes the cluster each month, the data engineer unloads backup data from the cluster to an Amazon S3 bucket. The data engineer needs a solution to run the monthly analytics processes that does not require the data engineer to manage the infrastructure manually. Which solution will meet these requirements with the LEAST operational overhead?
Options
- AUse Amazon Step Functions to pause the Redshift cluster when the analytics processes are
- BUse Amazon Redshift Serverless to automatically process the analytics workload.
- CUse the AWS CLI to automatically process the analytics workload.
- DUse AWS CloudFormation templates to automatically process the analytics workload.
How the community answered
(34 responses)- A3% (1)
- B82% (28)
- C12% (4)
- D3% (1)
Explanation
Use Amazon Redshift Serverless. This option allows the data engineer to focus on the analytics processes themselves without worrying about cluster provisioning, scaling, or management. It provides an on-demand, serverless solution that can handle variable workloads and is cost- effective for intermittent and irregular processing needs like those described.
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