AWS Certified Solutions Architect Associate · Free Practice Question Medium
Question 1
Amazon EC2 instances in an Auto Scaling group. The application stores temporary training data on attached Amazon Elastic Block Store (Amazon EBS) volumes. The company seeks recommendations to optimize costs for the EC2 instances, the Auto Scaling group, and the EBS volumes with minimal manual intervention.
Which solution will meet these requirements with the MOST operational efficiency?
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A
Use AWS Cost and Usage Reports to export data to Amazon Athena. Query the data to identify inefficiencies in the EC2 instances, the Auto Scaling group, and the EBS volumes.
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B
Use AWS Compute Optimizer for recommendations on EC2 instances and Auto Scaling groups. Use Amazon Data Lifecycle Manager to evaluate cost optimizations for the EBS volumes.
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C
Set up Amazon CloudWatch billing alerts and manually analyze metrics to identify cost-saving opportunities for the EC2 instances, the Auto Scaling group, and the EBS volumes.
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D
Configure AWS Compute Optimizer to provide cost optimization recommendations for the EC2 instances, the Auto Scaling group, and the EBS volumes.
Reveal correct answer
Correct answer: D
Explanation
Configure AWS Compute Optimizer to provide cost optimization recommendations for the EC2 instances, the Auto Scaling group, and the EBS volumes: This is correct because AWS Compute Optimizer offers actionable insights for cost optimization across EC2 instances, Auto Scaling groups, and EBS volumes with minimal operational overhead.
Set up Amazon CloudWatch billing alerts and manually analyze metrics to identify cost-saving opportunities for the EC2 instances, the Auto Scaling group, and the EBS volumes: This option requires significant manual intervention, which reduces operational efficiency.
Use AWS Cost and Usage Reports to export data to Amazon Athena. Query the data to identify inefficiencies in the EC2 instances, the Auto Scaling group, and the EBS volumes: While this approach provides insights, it requires significant manual effort to analyze the data.
Use AWS Compute Optimizer for recommendations on EC2 instances and Auto Scaling groups. Use Amazon Data Lifecycle Manager to evaluate cost optimizations for the EBS volumes: This requires separate configurations for different resources, increasing complexity compared to a single AWS Compute Optimizer setup.
References:
https://docs.aws.amazon.com/compute-optimizer/latest/ug/what-is.html
https://docs.aws.amazon.com/AmazonEBS/latest/dg/ebs-automatic-snapshot-policy.html
Discussion
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