Amazon MLS-C01 Exam - Topic 5 Question 12 Discussion

Actual exam question for Amazon's MLS-C01 exam

Question #: 12
Topic #: 5

A Machine Learning Specialist working for an online fashion company wants to build a data ingestion solution for the company's Amazon S3-based data lake.

The Specialist wants to create a set of ingestion mechanisms that will enable future capabilities comprised of:

* Real-time analytics

* Interactive analytics of historical data

* Clickstream analytics

* Product recommendations

Which services should the Specialist use?

AAWS Glue as the data dialog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for real-time data insights; Amazon Kinesis Data Firehose for delivery to Amazon ES for clickstream analytics; Amazon EMR to generate personalized product recommendations

BAmazon Athena as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for near-realtime data insights; Amazon Kinesis Data Firehose for clickstream analytics; AWS Glue to generate personalized product recommendations

CAWS Glue as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for historical data insights; Amazon Kinesis Data Firehose for delivery to Amazon ES for clickstream analytics; Amazon EMR to generate personalized product recommendations

DAmazon Athena as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for historical data insights; Amazon DynamoDB streams for clickstream analytics; AWS Glue to generate personalized product recommendations

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Suggested Answer: A

by Eladia at May 08, 2022, 04:01 PM

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5 months ago

I think the answer might be determinism because saying behavior "came out of nowhere" contradicts the idea that behaviors have specific causes.

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