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AIF-C01 · Question #243

A company has developed a generative AI model for customer segmentation. The model has been deployed in the company's production environment for a long time. The company recently noticed some…

The correct answer is A. Amazon SageMaker Model Monitor. SageMaker Model Monitor continuously collects inference and ground‑truth data to automatically detect data drift, concept drift, and bias shifts in production models. By configuring baseline metrics and thresholds, the company can track inconsistencies in responses over time…

Submitted by jian89· Mar 30, 2026

Question

A company has developed a generative AI model for customer segmentation. The model has been deployed in the company's production environment for a long time. The company recently noticed some inconsistency in the model's responses. The company wants to evaluate model bias and drift. Which AWS service or feature meets these requirements?

Options

  • AAmazon SageMaker Model Monitor
  • BAmazon SageMaker Clarify
  • CAmazon SageMaker Model Cards
  • DAmazon SageMaker Feature Store

How the community answered

(39 responses)
  • A
    69% (27)
  • B
    10% (4)
  • C
    5% (2)
  • D
    15% (6)

Explanation

SageMaker Model Monitor continuously collects inference and ground‑truth data to automatically detect data drift, concept drift, and bias shifts in production models. By configuring baseline metrics and thresholds, the company can track inconsistencies in responses over time and receive alerts whenever bias or drift exceed acceptable limits.

Topics

#Amazon SageMaker Model Monitor#Model Drift#Model Bias#MLOps

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