Microsoft Azure AI Fundamentals AI-900 Practice Question

In machine learning, which of the following best describes the purpose of a validation dataset?

  • To test the final model performance on unseen data after training is complete

  • To collect new data for expanding the training dataset

  • To train the model by providing examples for it to learn from

  • To adjust model hyperparameters and prevent overfitting by evaluating the model's performance during training

Microsoft Azure AI Fundamentals AI-900
Describe Fundamental Principles of Machine Learning on Azure
Your Score:
Settings & Objectives
Random Mixed
Questions are selected randomly from all chosen topics, with a preference for those you haven’t seen before. You may see several questions from the same objective or domain in a row.
Rotate by Objective
Questions cycle through each objective or domain in turn, helping you avoid long streaks of questions from the same area. You may see some repeat questions, but the distribution will be more balanced across topics.

Check or uncheck an objective to set which questions you will receive.

Bash, the Crucial Exams Chat Bot
AI Bot