AI-900 Describe fundamental ML principles

What is the recommended Azure approach to managed ML workspace and pipelines?

Multiple choice — select one answer

Answer choices

  1. a. FTP datasets
  2. b. Azure Machine Learning
  3. c. No versioning
  4. d. Azure Machine Learning AutoML

Architectural breakdown & explanation

Azure ML covers training, deployment, monitoring.

Correct answer(s): b. Azure Machine Learning

Exam domain: Describe fundamental ML principles (30% weight on the official guide).

Official documentation & study links

Practice this certification

This page is one question from the Microsoft Azure AI Fundamentals bank. Run a full timed practice exam with domain-weighted random questions in your browser.