MLA-C01 ML Model Development Practice Question
A data scientist wants to use SageMaker Autopilot to automatically build a regression model. The dataset contains 200 features and 50,000 rows. Which output does SageMaker Autopilot provide?
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
✓
A leaderboard of candidate models with metrics and explainability reports
SageMaker Autopilot automatically explores various algorithms and preprocessing steps, then provides a leaderboard of candidate models with metrics.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Only the best model without any metrics
Why it's wrong here
Metrics are provided for comparison.
- ✓
A leaderboard of candidate models with metrics and explainability reports
Why this is correct
Autopilot generates a leaderboard and can produce explainability reports.
- ✗
A single optimal model with no further tuning
Why it's wrong here
Autopilot provides multiple candidates, not just one.
- ✗
A Python script for manual training
Why it's wrong here
Autopilot can generate notebooks, but its primary output is the leaderboard.
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Same concept, more angles
2 more ways this is tested on MLA-C01
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. Which SageMaker feature automatically generates model cards, feature importance, and bias reports without requiring manual coding?
easy- ✓ A.SageMaker Autopilot
- B.SageMaker Experiments
- C.SageMaker Clarify
- D.SageMaker Model Monitor
Why A: SageMaker Clarify provides bias detection and feature importance, and it can generate reports. SageMaker Autopilot generates model cards and explanations. SageMaker Experiments tracks experiments. SageMaker Model Monitor is for monitoring. Autopilot is the correct answer because it automates the entire pipeline including model cards and explanations.
Variation 2. A machine learning engineer is using SageMaker Autopilot for AutoML. Which TWO outputs does Autopilot produce?
medium- A.A hyperparameter tuning job summary
- ✓ B.An ensemble of candidate models
- C.A data labeling pipeline
- D.A single optimal model
- ✓ E.An explainability report
JA
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