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DEA-C01 Data Store Management Guide

AWS DEA-C01 data store guide covering storage fit, catalogs, metadata, lifecycle, and schema decisions.

This domain is where AWS tests whether you can choose the right store, keep metadata usable, manage lifecycle transitions, and evolve schemas without breaking downstream systems.

Current weight in the exam guide

AWS currently weights Data Store Management at 26% of scored content.

Work this domain in order

Lesson Focus
2.1 Choosing Data Stores for Access Patterns Learn how performance, cost, access pattern, and migration requirements drive store selection.
2.2 Catalogs, Crawlers & Metadata Learn Glue Data Catalog, crawlers, partitions, and metadata-management patterns.
2.3 Data Lifecycle, Loads & Retention Learn load/unload flows, lifecycle policies, versioning, TTL, deletion, and resiliency controls.
2.4 Data Models, Schema Evolution & Optimization Learn schema change, conversion, lineage, partitioning, indexing, and vector-related optimization ideas.

In this section

Revised on Sunday, May 10, 2026
1. Data Ingestion and Transformation
3. Data Operations and Support