An administrator is deploying Spark on Amazon EMR for two distinct use cases: machine learning algorithms and ad-hoc querying. All data will be stored in Amazon S3. Two separate clusters for each use case will be deployed. The data volumes on Amazon S3 are less than 10 GB.
How should the administrator align instance types with the clusters purpose?

A. Machine Learning on C instance types and ad-hoc queries on R instance types

B. Machine Learning on R instance types and ad-hoc queries on G2 instance types

C. Machine Learning on T instance types and ad-hoc queries on M instance types

D. Machine Learning on D instance types and ad-hoc queries on I instance types








 

Suggested Answer: A






This question is in BDS-C00 AWS Certified Big Data – Specialty Exam
For getting AWS Certified Big Data – Specialty Certificate



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