What You'll Be Tested On
- Data lake design with S3, Lake Formation, and the Glue Data Catalog
- Data warehouse operations with Redshift, Redshift Spectrum, and Serverless
- NoSQL data stores with DynamoDB, streams, and export-to-S3
- Relational databases with RDS, Aurora, read replicas, and snapshots
- Data modeling and schema design for analytics workloads
- Storage optimization with S3 lifecycle policies, intelligent tiering, and compression
Key AWS Services in This Domain
Exam Tips for Domain 2
Understand when to use a data lake (S3 + Athena) vs a data warehouse (Redshift) vs a lakehouse (Redshift Spectrum).
S3 partitioning by date or key prefixes dramatically improves Athena and Redshift Spectrum query performance.
Lake Formation LF-Tags provide scalable, tag-based fine-grained access control across data lake resources.
DynamoDB Streams combined with Lambda or Kinesis enables real-time data replication to analytics stores.
Practice Domain 2 Questions
Test your knowledge of Data Store Management with practice questions from our DEA-C01 question bank.
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