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AI-900: Leveraging Key Features for Customer Income Range Prediction

Discover the crucial features necessary for predicting customer income range. Explore the significance of Education Level and Age in determining income range, and learn how to leverage these insights for accurate predictions.

Table of Contents

Question

You need to predict the income range of a given customer by using the following dataset.

You need to predict the income range of a given customer by using the following dataset.

You need to predict the income range of a given customer by using the following dataset.

Which two fields should you use as features? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. Education Level
B. Last Name
C. Age
D. Income Range
E. First Name

Answer

A. Education Level
C. Age

Explanation

First Name, Last Name, Age and Education Level are features. Income range is a label (what you want to predict). First Name and Last Name are irrelevant in that they have no bearing on income. Age and Education level are the features you should use.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump