Which TWO of the following correctly pair an AWS analytics, machine learning, or developer service with its role? (Choose TWO.)

1 / 1
Select all that apply
CorrectA, C

Explanation

Question Overview

A question asking to select the two correct service-role pairings for analytics, ML, and developer services.

Requirements to satisfy
  • 1「analytics, machine learning, or developer service」Correctly map Athena, Kinesis, SageMaker, Glue, and QuickSight to their roles
  • 2「correctly pair」Choose the options where the service and described role match
Per-option explanation
ACorrect

Amazon Athena — runs standard SQL queries directly against data stored in Amazon S3.

This is correct. Amazon Athena is a serverless service that runs standard SQL queries directly against data stored in Amazon S3.

BIncorrect

Amazon SageMaker — a BI service that visualizes data using graphs and dashboards.

This is incorrect. Visualizing data and sharing dashboards is the role of Amazon QuickSight (a BI service).

Amazon SageMaker is an ML platform for building, training, and deploying machine learning models. The pairing is wrong.

CCorrect

Amazon Kinesis — collects and processes real-time streaming data.

This is correct. Amazon Kinesis is a service for collecting and processing real-time streaming data.

DIncorrect

AWS Glue — a platform for training and deploying machine learning models.

This is incorrect. Building, training, and deploying machine learning models is the role of Amazon SageMaker.

AWS Glue is an ETL (Extract, Transform, Load) service. The description is wrong.

EIncorrect

Amazon Kinesis — a batch analytics platform that processes stored data in bulk overnight.

This is incorrect. Amazon Kinesis is a streaming platform that ingests and processes continuously generated data in real time.

Processing stored data in bulk overnight describes batch processing, which is the opposite of Kinesis's core characteristic of real-time streaming.

Key Takeaway

Pairings: Athena = SQL against S3 / Kinesis = streaming / Glue = ETL / QuickSight = visualization (BI) / SageMaker = machine learning. Distinguish the role of each service in an analytics pipeline.

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