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Exam AWS Certified AI Practitioner AIF-C01 All Questions

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Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 37 discussion

Exam question from Amazon's AWS Certified AI Practitioner AIF-C01
Question #: 37
Topic #: 1
[All AWS Certified AI Practitioner AIF-C01 Questions]

An AI practitioner is building a model to generate images of humans in various professions. The AI practitioner discovered that the input data is biased and that specific attributes affect the image generation and create bias in the model.
Which technique will solve the problem?

  • A. Data augmentation for imbalanced classes
  • B. Model monitoring for class distribution
  • C. Retrieval Augmented Generation (RAG)
  • D. Watermark detection for images
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Suggested Answer: A 🗳️
by jove at Nov. 5, 2024, 9 p.m.
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jove
1 week, 2 days ago
Selected Answer: A
A. Data augmentation for imbalanced classes is the most effective technique to mitigate bias in the input data by ensuring a more balanced representation of classes and attributes in the training set, leading to fairer and more accurate image generation.
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