Microsoft Azure AI Fundamentals (AI-900) Practice Exam

To determine customer preferences through past data, which AI system component is crucial?

1. Data collection

2. Knowledge mining

3. Model training

4. Feature selection

The correct answer is: Knowledge mining

To determine customer preferences through past data, the Knowledge Mining component is essential because it focuses on extracting insights and understanding from the large volumes of data that have been collected. Knowledge mining involves analyzing historical customer data to uncover patterns, trends, and preferences that may not be immediately evident. It employs various techniques, including natural language processing and machine learning, to interpret the data and generate actionable insights that can inform business decisions. This component is vital as it allows organizations to make sense of complex data sets, turning raw data into valuable knowledge about customer behavior, which is crucial for tailoring products and services to meet customer needs. In the context of the other components: while data collection gathers the raw information, and model training applies algorithms to learn from data, it is the process of knowledge mining that directly targets the understanding of customer preferences based on that historical data.