MLA-C01 · Question #88
MLA-C01 Question #88: Real Exam Question with Answer & Explanation
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Question
A company has an ML model that uses historical transaction data to predict customer behavior. An ML engineer is optimizing the model in Amazon SageMaker to enhance the model's predictive accuracy. The ML engineer must examine the input data and the resulting predictions to identify trends that could skew the model's performance across different demographics. Which solution will provide this level of analysis?
Options
- AUse Amazon CloudWatch to monitor network metrics and CPU metrics for resource optimization
- BCreate AWS Glue DataBrew recipes to correct the data based on statistics from the model output.
- CUse SageMaker Clarify to evaluate the model and training data for underlying patterns that might
- DCreate AWS Lambda functions to automate data pre-processing and to ensure consistent quality
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