Microsoft Azure AI Fundamentals AI-900 Practice Question

Regression - This is the correct answer. Regression is the appropriate machine learning technique for predicting continuous numerical values, such as the delivery duration for packages. The company can use regression to model the relationship between the input factors (distance, traffic conditions, weather) and the target variable (delivery duration).

Classification is used to predict categorical outcomes, not continuous values like delivery duration. Since the goal is to predict a numeric value, regression is the more suitable approach.

Clustering is an unsupervised learning technique that groups data based on similarities, but it is not used for predicting specific outcomes like delivery duration. It's useful for finding patterns, but not for making specific numerical predictions.

Reinforcement Learning is typically used for decision-making tasks where an agent learns by interacting with an environment for example optimizing actions over time. It is not the best choice for predicting continuous values like delivery duration, which is more suited to regression.