SageMaker Built-in Algorithms Quiz

Quiz covering Modeling Approach

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 built-in algorithm is best suited for identifying anomalies in time-series data?

2. 2

   You have a dataset with a large number of features and want to reduce the dimensionality while preserving as much variance as possible. Which algorithm should you use?

3. 3

   When using the SageMaker XGBoost algorithm, what is the recommended file format to maximize training performance and efficiency?

4. 4

   You are building a recommendation system for a retail website where the data is sparse and high-dimensional. Which algorithm is most appropriate for this task?

5. 5

   You are using SageMaker's built-in K-Means algorithm. You notice that your model is performing poorly, and you suspect that the features are on different scales. What is the most critical preprocessing step to perform before training?