Amazon MLS-C01 Exam - Topic 3 Question 23 Discussion

Actual exam question for Amazon's MLS-C01 exam

Question #: 23
Topic #: 3

A manufacturing company has structured and unstructured data stored in an Amazon S3 bucket. A Machine Learning Specialist wants to use SQL to run queries on this data.

Which solution requires the LEAST effort to be able to query this data?

AUse AWS Data Pipeline to transform the data and Amazon RDS to run queries.

BUse AWS Glue to catalogue the data and Amazon Athena to run queries.

CUse AWS Batch to run ETL on the data and Amazon Aurora to run the queries.

DUse AWS Lambda to transform the data and Amazon Kinesis Data Analytics to run queries.

Show Suggested Answer

Suggested Answer: B

by Tamar at May 06, 2022, 07:01 PM

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Cristen

4 months ago

Not sure about D, seems like overkill for just querying data.

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Brittni

4 months ago

I think option A could work too, but it sounds more complex.

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Britt

4 months ago

Wait, can Athena really handle both structured and unstructured data?

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Antonio

4 months ago

I agree, AWS Glue and Athena make it super simple!

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Dean

5 months ago

Option B is the best choice for querying S3 data easily.

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Margart

5 months ago

Alright, I'm going to go with Vigenère. It uses a keyword to generate a sequence of shifting substitution alphabets, which fits the description of a multi-alphabet cipher.

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