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Amazon AIF-C01 Exam - Topic 2 Question 35 Discussion

Actual exam question for Amazon's AIF-C01 exam
Question #: 35
Topic #: 2
[All AIF-C01 Questions]

A company is using AI to build a toy recommendation website that suggests toys based on a customer's interests and age. The company notices that the AI tends to suggest stereotypically gendered toys.

Which AWS service or feature should the company use to investigate the bias?

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Suggested Answer: D

Comprehensive and Detailed Explanation From Exact AWS AI documents:

Amazon SageMaker Clarify is designed to detect and explain bias in ML models and datasets.

AWS Responsible AI guidance recommends Clarify to:

Identify bias in predictions

Analyze feature attribution

Support fairness and ethical AI practices

Why the other options are incorrect:

Rekognition (A) analyzes images, not recommendation bias.

Amazon Q Developer (B) assists developers with code.

Comprehend (C) performs NLP tasks, not bias analysis.

AWS AI document references:

Amazon SageMaker Clarify Documentation

Detecting Bias in AI Systems


Contribute your Thoughts:

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Kimbery
13 days ago
Totally agree, it’s designed for bias detection!
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Sharee
18 days ago
I think they should use Amazon SageMaker Clarify.
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Carline
1 month ago
I feel like we discussed Amazon Rekognition in class, but that was more about image analysis, not bias in recommendations.
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Mike
1 month ago
I’m a bit confused. I thought Amazon Comprehend was for text analysis, not bias detection. Is that right?
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Ruthann
1 month ago
I remember practicing a question about bias in AI, and SageMaker Clarify was mentioned as a tool for that. It seems like the right choice here.
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France
2 months ago
I think we might need to look at Amazon SageMaker Clarify for bias detection, but I'm not entirely sure how it works.
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