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MLA-C01 · Question #173
MLA-C01 Question #173: Real Exam Question with Answer & Explanation
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ML Solution Monitoring, Maintenance, and Security
Question
An ML engineer is setting up an Amazon SageMaker AI pipeline for an ML model. The pipeline must automatically initiate a re-training job if any data drift is detected. How should the ML engineer set up the pipeline to meet this requirement?
Options
- AUse an AWS Glue crawler and an AWS Glue extract, transform and load (ETL) job to detect data
- BUse Amazon Managed Service for Apache Flink to detect data drift. Use an AWS Lambda
- CUse SageMaker Model Monitor to detect data drift. Use an AWS Lambda function to automate the
- DUse Amazon QuickSight anomaly detection to detect data drift. Use an AWS Step Functions
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Topics
#Data Drift Detection#SageMaker Model Monitor#Automated Retraining#MLOps Automation