Lambda ML Inference Quiz

Quiz covering Advanced Deployment

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

1. 1

   What is the primary reason for using container images instead of ZIP files when deploying ML models to AWS Lambda?

2. 2

   When deploying an ML model on Lambda, how can you mitigate the 'cold start' latency caused by loading large model weights into memory?

3. 3

   You are hosting a model that requires significant CPU power for inference. Which Lambda configuration setting will most directly improve inference speed?

4. 4

   If your inference code requires loading a model from an S3 bucket during initialization, where should this code be placed to optimize performance?

5. 5

   You are deploying a custom ML model using a Docker image on Lambda. During the build process, you notice the image exceeds the 10 GB limit. Which strategy is most effective for reducing image size while maintaining inference capability?