Why This Cheat Sheet Matters for MLA-C01
This cheat sheet covers the most important ML Security on AWS concepts tested on the MLA-C01 (AWS Machine Learning Engineer Associate) certification exam. It contains 2 sections with 8 key points that you should memorize before exam day. Review IAM, least privilege, VPC endpoints, encryption, KMS, data protection, private training, private inference, and compliance controls. Use this as a quick-reference guide during your final review sessions.
2Sections
8Key Points
Security Controls
- Use least-privilege SageMaker execution roles.
- Encrypt S3 data, model artifacts, training volumes, and logs with KMS when required.
- Use VPC configuration and VPC endpoints for private data access.
- Separate permissions for data scientists, pipeline automation, and production deployment.
Exam Cues
- Need private access to S3 from a VPC: gateway endpoint.
- Need private access to SageMaker APIs: interface endpoint.
- Need customer-controlled encryption: customer managed KMS key.
- Need audit API activity: CloudTrail.
Practice ML Security Questions
Put your knowledge to the test with practice questions.