A company needs to ingest and analyze telemetry data from vehicles at scale for machine learning and reporting. Which solution will meet these requirements?

The correct answer is A. Use Amazon Timestream for LiveAnalytics to store data points. Grant Amazon SageMaker. Amazon Timestreamis purpose-built for storing and analyzing time-series data like telemetry. Option A leverages Timestream, SageMaker for ML, and QuickSight for visualization, meeting all requirements with minimal complexity. Option B involves more complex DynamoDB-EMR…

Submitted by satoshi_tk· Mar 4, 2026Design High-Performing Architectures

Question

Options

AUse Amazon Timestream for LiveAnalytics to store data points. Grant Amazon SageMaker
BUse Amazon DynamoDB to store data points. Use DynamoDB Connector to ingest data into
CUse Amazon Neptune to store data points. Use Amazon Kinesis Data Streams to ingest data into
DUse Amazon Timestream for LiveAnalytics to store data points. Grant Amazon SageMaker

How the community answered

(34 responses)

A
76% (26)
B
15% (5)
C
6% (2)
D
3% (1)

Explanation

Amazon Timestreamis purpose-built for storing and analyzing time-series data like telemetry. Option A leverages Timestream, SageMaker for ML, and QuickSight for visualization, meeting all requirements with minimal complexity. Option B involves more complex DynamoDB-EMR integration. Option C uses Neptune, which is designed for graph databases, not telemetry data. Option D incorrectly uses Athena for visualization instead of QuickSight.

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