SAA-C03 Q430 · Analytics

Question

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

Accepted Answer

**Answer A** satisfies every requirement in the question:

1. **"Telemetry data from vehicles"** → This is classic **time-series data** — sensor readings with timestamps. **Amazon Timestream for LiveAnalytics** is purpose-built for storing, querying, and analyzing time-series data at scale. It automatically manages data lifecycle (recent data in memory, older data in magnetic storage), making it ideal for IoT/telemetry workloads.

2. **"At scale"** → Timestream is serverless and scales automatically to handle trillions of data points per day. No capacity planning or infrastructure management needed.

3. **"Machine learning"** → **Amazon SageMaker** is AWS's fully managed ML platform. Timestream integrates natively with SageMaker — you can grant SageMaker permission to read directly from Ti

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