MLA-C01 · Question #221
MLA-C01 Question #221: Real Exam Question with Answer & Explanation
The correct answer is B: Use SageMaker Clarify to check for class imbalance (CI). If the value is greater than 0, then use. SageMaker Clarify provides a class imbalance metric to evaluate whether the target classes are unevenly represented. When imbalance is detected, using SMOTE in SageMaker Data Wrangler synthetically increases samples of the minority class, balancing Class A and Class B without dis
Question
An ML engineer is collecting data to train a classification ML model by using Amazon SageMaker AI. The target column can have two possible values: Class A or Class B. The ML engineer wants to ensure that the number of samples for both Class A and Class B are balanced, without losing any existing training data. The ML engineer must test the balance of the training data. Which solution will meet this requirement?
Options
- AUse SageMaker Clarify to check for class imbalance (CI). If the value is equal to 0, then use
- BUse SageMaker Clarify to check for class imbalance (CI). If the value is greater than 0, then use
- CUse SageMaker JumpStart to generate a class imbalance (CI) report. If the value is greater than
- DUse SageMaker JumpStart to generate a class imbalance (CI) report. If the value is equal to 0,
Explanation
SageMaker Clarify provides a class imbalance metric to evaluate whether the target classes are unevenly represented. When imbalance is detected, using SMOTE in SageMaker Data Wrangler synthetically increases samples of the minority class, balancing Class A and Class B without discarding any existing training data.
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