SAP-C02 · Question #207
A company is using an Amazon EMR cluster to run its big data jobs. The cluster's jobs are invoked by AWS Step Functions Express Workflows that consume various Amazon Simple Queue Service (Amazon…
The correct answer is A. Modify the EMR cluster by turning on automatic scaling of the core nodes and task nodes with a. https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-automatic-scaling.html
Question
A company is using an Amazon EMR cluster to run its big data jobs. The cluster's jobs are invoked by AWS Step Functions Express Workflows that consume various Amazon Simple Queue Service (Amazon SQS) queues. The workload of this solution is variable and unpredictable. Amazon CloudWatch metrics show that the cluster's peak utilization is only 25% at times and that the cluster sits idle the rest of the time. A solutions architect must optimize the costs of the cluster without negatively impacting the time it takes to run the various jobs. What is the MOST cost-effective solution that meets these requirements?
Options
- AModify the EMR cluster by turning on automatic scaling of the core nodes and task nodes with a
- BModify the EMR cluster to use an instance fleet of Dedicated On-Demand Instances for the
- CPurchase Reserved Instances for the master node and core nodes. Terminate all existing task
- DModify the EMR cluster to use capacity-optimized Spot Instances and a diversified task fleet.
How the community answered
(18 responses)- A83% (15)
- C11% (2)
- D6% (1)
Explanation
https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-automatic-scaling.html
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