AI-900 exam dumps

AI-900 practice question 82 of 286

Microsoft Azure AI Fundamentals. Free level, Microsoft. Free question with the correct answer and a full explanation.

AI-900 Question 82

Single answer

A retail company needs to predict whether a customer will purchase a product based on their browsing history. Which machine learning technique is most appropriate for this scenario?

  1. A

    Classification

  2. B

    Clustering

  3. C

    Regression

  4. D

    Reinforcement Learning

Show answer and explanation

Correct answer: A

Explanation

The company needs to predict a categorical outcome (whether a customer will purchase a product or not), making classification the appropriate machine learning technique. Classification algorithms are designed for binary or multi-class predictions, which aligns with the requirements of this scenario.

  • A. Correct.

    Classification is the correct technique as it is used for predicting a categorical outcome, such as whether or not a customer will make a purchase.

  • B. Incorrect.

    Clustering is used to group similar data points together without predefined categories, but this scenario requires predicting a specific outcome, not grouping customers.

  • C. Incorrect.

    Regression is used for predicting continuous numerical values, such as sales revenue or temperature, which does not match the need for a yes/no prediction in this scenario.

  • D. Incorrect.

    Reinforcement Learning focuses on decision-making through trial and error in an environment to maximize cumulative rewards. This is not relevant for predicting customer purchase behavior.

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