How to visualize data for analysis
How to manage locks to prevent access to data (for example, Amazon Redshift, Amazon RDS)
Intermediate data staging locations
Data classification based on requirements
Authorization methods (role-based, policy-based, tag-based, and attributebased)
Batch data ingestion (for example, scheduled ingestion, event-driven ingestion)
Replayability of data ingestion pipelines
Data ingestion patterns (for example, frequency and data history)
Authentication methods (password-based, certificate-based, and role-based)
Cloud computing and distributed computing
Which services accept scripting (for example, Amazon EMR, Amazon Redshift, AWS Glue)
API calls for data processing
How to determine the appropriate storage solution for specific access patterns
Differences between AWS managed policies and customer managed policies
Data storage formats (for example, .csv, .txt, Parquet)