Crucial Exams

Microsoft Azure AI Fundamentals AI-900 Practice Question

When you design a machine-learning application for production, which action helps ensure the system remains safe if it encounters unexpected errors or operating conditions?

  • Filtering out all unusual or outlier inputs during inference

  • Training the model only on perfectly labeled, noise-free data

  • Designing the system with fail-safe and human-override controls

  • Disabling runtime monitoring to minimize operational overhead

Microsoft Azure AI Fundamentals AI-900
Describe Artificial Intelligence Workloads and Considerations
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.

Wipe Score
Bash, the Crucial Exams Chat Bot
AI Bot