MLA-C01 SageMaker Autopilot Practice Question
A data scientist is using SageMaker Autopilot for a regression problem. They want to see which data preprocessing steps Autopilot applied. Which TWO sources can they use to find this information?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Candidate definition notebook
The two sources that show the data preprocessing steps applied by SageMaker Autopilot are the candidate definition notebook and the data exploration report. The candidate definition notebook contains the generated Python code for the entire pipeline, including all preprocessing transformations. The data exploration report provides a summary of the data and includes information about the transformations that were automatically applied. The model leaderboard only lists the performance metrics of the trials, not the preprocessing steps. The Autopilot job description in AWS CloudTrail logs the API calls made, but does not capture the preprocessing steps. The explainability report shows feature importance values, not the preprocessing steps.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Candidate definition notebook
Why this is correct
Contains the generated code for data preprocessing and model training, showing the exact steps Autopilot applied.
- ✗
Model leaderboard
Why it's wrong here
The model leaderboard only shows performance metrics, not preprocessing steps.
- ✗
Autopilot job description in AWS CloudTrail
Why it's wrong here
The Autopilot job description in CloudTrail records API calls, not the preprocessing steps.
- ✓
Data exploration report
Why this is correct
Includes statistics and visualizations as well as a summary of the preprocessing steps (e.g., imputation, scaling, encoding) that Autopilot performed, so it is a valid source.
- ✗
Explainability report
Why it's wrong here
The explainability report shows feature importance, not preprocessing steps.
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