SAP-C02 · Question #342
A company is running an Apache Hadoop cluster on Amazon EC2 instances. The Hadoop cluster stores approximately 100 TB of data for weekly operational reports and allows occasional access for data scien
The correct answer is C. Move the data to Amazon S3 and use Amazon Athena to query the data for reports.. The company needs to reduce the cost and operational complexity for storing and serving this Which solution meets these requirements in the MOST cost-effective manner?" EMR storage is ephemeral. The company has 100TB that need to persist, they would have to use EMRFS to backup to
Question
A company is running an Apache Hadoop cluster on Amazon EC2 instances. The Hadoop cluster stores approximately 100 TB of data for weekly operational reports and allows occasional access for data scientists to retrieve data. The company needs to reduce the cost and operational complexity for strong and serving this data. Which solution meets these requirements in the MOST cost-effective manner?
Options
- AMove the Hadoop cluster from EC2 instances to Amazon EMR.
- BWrite a script resizes the EC2 instances to a smaller instance type during downtime and resizes
- CMove the data to Amazon S3 and use Amazon Athena to query the data for reports.
- DMigrate the data in Amazon DynamoDB and modify the reports to fetch data from DynamoDB.
How the community answered
(47 responses)- A23% (11)
- B15% (7)
- C55% (26)
- D6% (3)
Explanation
The company needs to reduce the cost and operational complexity for storing and serving this Which solution meets these requirements in the MOST cost-effective manner?" EMR storage is ephemeral. The company has 100TB that need to persist, they would have to use EMRFS to backup to S3 anyway. https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-plan-storage.html
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