Why This Cheat Sheet Matters for MLA-C01
This cheat sheet covers the most important ML Model Deployment 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 real-time endpoints, serverless inference, asynchronous inference, batch transform, endpoint variants, autoscaling, and deployment patterns. Use this as a quick-reference guide during your final review sessions.
2Sections
8Key Points
Inference Options
- Real-time endpoints serve low-latency online predictions.
- Serverless inference reduces idle cost for intermittent traffic.
- Asynchronous inference supports larger payloads and longer processing times.
- Batch transform scores stored datasets without a persistent endpoint.
Production Controls
- Use endpoint variants for traffic shifting or A/B testing.
- Configure autoscaling from endpoint metrics to handle traffic changes.
- Keep approved model versions in Model Registry before production deployment.
- Monitor endpoint invocation metrics and model quality after release.
Practice Model Deployment Questions
Put your knowledge to the test with practice questions.