AIF-C01 Free Practice Test

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?

1. A. Data augmentation for imbalanced classes
2. B. Model monitoring for class distribution
3. C. Retrieval Augmented Generation (RAG)
4. D. Watermark detection for images

Correct Answer: A
Data augmentation for imbalanced classes is the correct technique to address bias in input data affecting image generation.
✑ Data Augmentation for Imbalanced Classes:
✑ Why Option A is Correct:
✑ Why Other Options are Incorrect: