Data, Analytics & ML

Study guide, exam traps, and decision points.

Units

Databases (Detailed)
Data Ingestion & Analytics
Machine Learning Services (Know the Use Cases)

Practice questions

Generated from this module’s study material.

1. What best describes "Amazon Keyspaces" in this context?

time-series DB. Trillions of events/day. Stores recent data in memory, historical in cost-optimized storage.serverless SQL on S3. Uses Presto. $5/TB scanned. Performance tips:Apache Cassandra-compatible. Serverless. Single-digit millisecond latency. CQL. Use for IoT, time-series.memory, sub-millisecond latency.

2. What best describes "AWS Glue" in this context?

Quantum Ledger DB. Immutable ledger. Cryptographically verifiable journal. Not in scope for exam but worth knowing.IA for lower storage cost, slightly higher reads.series → Timestreamserverless ETL service. Extract, Transform, Load.

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