Module 6 Quiz: Model Serving

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Question 1

What is the main advantage of multi-stage Docker builds for ML?

1. Faster model inference
2. Smaller final image size by excluding build dependencies
3. Better GPU support
4. More secure

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Question 2

Which serving framework is specifically designed for NVIDIA GPUs?

1. BentoML
2. TorchServe
3. Triton Inference Server
4. Flask

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Question 3

Why should models be loaded at application startup, not per request?

1. It's required by FastAPI
2. Loading is slow and would add latency to every request
3. Models can only be loaded once
4. For security reasons

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(Additional questions covering API design, batching, health checks, etc.)

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🎉 Quiz Complete!

Next: Module 7: Kubernetes for ML