Technologies and Concepts
The following list contains technologies and concepts that might appear on the exam. This list is non-exhaustive and is subject to change. The order and placement of the items in this list is no indication of their relative weight or importance on the exam:
Ingestion and collection
Processing and ETL
Data analysis and visualization
Model training
Model deployment and inference
Operationalizing ML
AWS ML application services
Language relevant to ML (for example, Python, Java, Scala, R, SQL)
Notebooks and integrated development environments (IDEs)