Microsoft Azure AI Fundamentals (AI-900) Practice Exam

Is "Quality Test" classified as a label in machine learning?

1. Yes

2. No

3. Depends on context

4. Not defined

The correct answer is: Yes

In the context of machine learning, a label refers to the output or result that the algorithm predicts based on input data. Labels are used in supervised learning, where the model learns to map inputs to a specific output. "Quality Test" can indeed be classified as a label if it represents the desired classification or outcome in a predictive model. For instance, in a scenario where you're developing a model to predict product quality based on various features, "Quality Test" could denote the result of this prediction—such as pass or fail. If the context clearly identifies "Quality Test" as the predicted outcome derived from the input data, then it functions as a label within that machine learning framework. Labels categorize the training data and help in supervised learning tasks, making it crucial that they accurately represent what the model needs to predict. This understanding aligns with the broader function of labels in ML, making "Yes" the appropriate classification for "Quality Test" as a label.