📋 Model Deployment Cheat Sheet

Deployment questions usually hinge on latency, throughput, payload size, cost, and whether predictions are online or offline.

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.

More MLA-C01 Cheat Sheets