Microsoft Azure AI Fundamentals AI-900 Practice Question

They can generate new data instances similar to the training data - This is the correct answer. Generative AI models are designed to create new data instances that resemble the training data. This makes them ideal for generating synthetic data to augment testing datasets, ensuring variety and realism in the data used for testing.

They can classify data into specific categories with high precision - This feature is characteristic of classification models, which categorize data into predefined labels but do not generate new data instances.

They can reduce data dimensionality while retaining key features - This describes dimensionality reduction techniques (such as PCA), which focus on simplifying the data without losing important features. It is not related to generating new data instances.

They can identify anomalies by learning normal data patterns - This is a feature of anomaly detection models, which are used to identify outliers or unusual patterns in data, not for generating synthetic data.