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Exam AWS Certified Big Data - Specialty topic 1 question 54 discussion

Exam question from Amazon's AWS Certified Big Data - Specialty
Question #: 54
Topic #: 1
[All AWS Certified Big Data - Specialty Questions]

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
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Suggested Answer: A 🗳️
by exams at Sept. 18, 2019, 7:28 a.m.
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Highly Voted 3 years, 7 months ago
A is correct
upvoted 6 times
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matthew95
Most Recent 3 years, 6 months ago
A) is correct Details: C- Compute optimized R – Memory optimized G – GPU omptimized I, D – Storage optimized T – not exists C3, C4, and C5 are compute optimized instances featuring high performance processors and with a lowest price/compute performance in EC2 compared to R3, R4 or R5 although it's recommended use cases are distributed memory caches and in-memory analytics. But C5 will do the job for you for a lower price. https://stackoverflow.com/questions/30435610/spark-which-instance-type-is-preferred-for-aws-emr-cluster
upvoted 3 times
MichRox
3 years, 6 months ago
T and M are actually general purpose, but yeah, it's A)
upvoted 2 times
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san2020
3 years, 6 months ago
my selection A
upvoted 4 times
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