IT Certification

Microsoft AI-900 Real Exam Questions

Last Update: 03 Oct 2023

$39.00

Guarantee your AI-900 exam success with examkiller's study guide. The AI-900 practice test questions are developed by experiences Microsoft Certification Professionals who working in todays prospering companies and...

Description

Guarantee your AI-900 exam success with examkiller's study guide. The AI-900 practice test questions are developed by experiences Microsoft Certification Professionals who working in todays prospering companies and Microsoft exam data center.

Exam Number: AI-900

Exam Title: Microsoft Azure AI Fundamentals

Passing Score: 700 (Total Score: 1000)(Tips: You should pass 70% for each section of the exam (bar on the chart), or else you still faild the exam even your total score more than 700 )

Origin Provider: ExamKiller

Total Questions: 190 QAs

Type: Real Exam Questions

Guarantee: 100% Pass Guarantee

Demo: Click Here for Check Demo

Microsoft AI-900 Exam Objectives

Describe Artificial Intelligence workloads and considerations (20–25%)

Identify features of common AI workloads

  • Identify features of anomaly detection workloads
  • Identify computer vision workloads
  • Identify natural language processing workloads
  • Identify knowledge mining workloads

Identify guiding principles for responsible AI

  • Describe considerations for fairness in an AI solution
  • Describe considerations for reliability and safety in an AI solution
  • Describe considerations for privacy and security in an AI solution
  • Describe considerations for inclusiveness in an AI solution
  • Describe considerations for transparency in an AI solution
  • Describe considerations for accountability in an AI solution

Identify common types of computer vision solution

  • Identify features of image classification solutions
  • Identify features of object detection solutions
  • Identify features of optical character recognition solutions
  • Identify features of facial detection and facial analysis solutions

Identify Azure tools and services for computer vision tasks

  • Identify capabilities of the Computer Vision service
  • Identify capabilities of the Custom Vision service
  • Identify capabilities of the Face service
  • Identify capabilities of the Form Recognizer service

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