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MLA-C01 · Question #66
MLA-C01 Question #66: Real Exam Question with Answer & Explanation
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ML Solution Monitoring, Maintenance, and Security
Question
A company has used Amazon SageMaker to deploy a predictive ML model in production. The company is using SageMaker Model Monitor on the model. After a model update, an ML engineer notices data quality issues in the Model Monitor checks. What should the ML engineer do to mitigate the data quality issues that Model Monitor has identified?
Options
- AAdjust the model's parameters and hyperparameters.
- BInitiate a manual Model Monitor job that uses the most recent production data.
- CCreate a new baseline from the latest dataset. Update Model Monitor to use the new baseline for
- DInclude additional data in the existing training set for the model. Retrain and redeploy the model.
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Topics
#SageMaker Model Monitor#Data Quality Monitoring#Model Baselines#ML Model Maintenance