Skip to Content

AI-900: Choosing the Right Algorithms for Azure ML Classification Models

Discover the optimal algorithms to leverage when creating Classification models in Azure ML, ensuring precision and accuracy in your AI solutions.

Table of Contents

Question

You need to create a Classification model using Azure ML. What types of Algorithms will you use?

Please select all that apply.

A. Two-class logistic regression
B. Linear Regression
C. K-means clustering
D. Multiclass logistic regression
E. Decision forest regression
F. Multiclass forest regression

Answer

A. Two-class logistic regression
D. Multiclass logistic regression
F. Multiclass forest regression

Explanation

All algorithm in the ML Classification family includes the word “class” in their names, like

Two-class logistic regression, Multiclass logistic regression, or Multiclass forest regression.

Regression Algorithm Family has the word “regression” in their names without class, like Linear Regression or Decision forest regression.

And there is only one algorithm for Clustering: K-means clustering.

Options B and E are incorrect because both Linear Regression and Decision forest regression algorithms are Regression algorithms.
Option C is incorrect because K-means clustering is a Clustering algorithm.

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