MLS-C01 · Question #370
MLS-C01 Question #370: Real Exam Question with Answer & Explanation
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Question
A telecommunications company has deployed a machine learning model using Amazon SageMaker. The model identifies customers who are likely to cancel their contract when calling customer service. These customers are then directed to a specialist service team. The model has been trained on historical data from multiple years relating to customer contracts and customer service interactions in a single geographic region. The company is planning to launch a new global product that will use this model. Management is concerned that the model might incorrectly direct a large number of calls from customers in regions without historical data to the specialist service team. Which approach would MOST effectively address this issue?
Options
- AEnable Amazon SageMaker Model Monitor data capture on the model endpoint. Create a
- BEnable Amazon SageMaker Debugger on the model endpoint. Create a custom rule to measure
- CCapture all customer calls routed to the specialist service team in Amazon S3. Schedule a
- DEnable Amazon CloudWatch on the model endpoint. Capture metrics using Amazon CloudWatch
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