Amazon SageMaker Quiz

Quiz covering AWS GenAI Infrastructure

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 Amazon SageMaker feature allows you to deploy and manage foundation models from AWS Marketplace and open-source hubs with a few clicks?

2. 2

   When training large-scale generative AI models on SageMaker, which feature is specifically designed to split the model across multiple GPU instances to handle memory constraints?

3. 3

   You want to automate the end-to-end workflow of your generative AI project, including data processing, model training, and model registration. Which service should you use?

4. 4

   A team is concerned about the cost of hosting a generative AI model that has variable traffic patterns. Which inference feature should they use to automatically scale instances based on demand?

5. 5

   When fine-tuning a Large Language Model (LLM) on SageMaker, you notice the training job fails due to 'Out of Memory' errors despite using a high-memory instance. Which configuration is most likely to resolve this by reducing the memory footprint during the backward pass?