SageMaker Overview Quiz

5 questions • Pass: 70% • +25 pts

Quiz covering AI/ML and Analytics Services

SageMaker Overview Quiz

5 questions | Pass: 70% | Earn 25 points

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 primarily used to build, train, and deploy machine learning models at scale?

  2. 2

    What is the primary purpose of Amazon SageMaker Studio?

  3. 3

    You need to reduce the time spent on hyperparameter tuning. Which SageMaker feature should you use?

  4. 4

    Which SageMaker capability is best suited for preparing and cleaning data before training a model?

  5. 5

    When deploying a model, you want to ensure that it remains accurate over time by detecting data drift. Which feature should you implement?