Exam Preparation and Scenario Analysis

Describe the six pillars of the AWS Well-Architected Framework as they apply to data engineering.

Select the appropriate ingestion service (e.g., Kinesis, MSK, DMS) based on data velocity, volume, and variety.

Select the appropriate transformation service (e.g., Glue, EMR, Lambda) based on data scale, complexity, and latency.

Select the appropriate storage and query service (e.g., Redshift, Athena, S3) based on query patterns, performance, and cost.

Select the appropriate orchestration service (e.g., Step Functions, EventBridge) based on workflow complexity and monitoring needs.

Analyze exam-style questions to deconstruct requirements and identify the optimal AWS solution.