EKS ML Deployment 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

   Which AWS service is most commonly used to provide persistent storage for ML model artifacts when deploying to Amazon EKS?

2. 2

   When deploying an ML model on EKS, which strategy allows you to shift traffic between different versions of your model without downtime?

3. 3

   You need to automatically scale your ML inference pods based on custom GPU utilization metrics. Which Kubernetes component should you use?

4. 4

   What is the primary benefit of using a 'Sidecar' container pattern for an ML model deployment on EKS?

5. 5

   When configuring GPU-accelerated inference on EKS, what is the required step to ensure pods are scheduled only on nodes with available NVIDIA GPUs?