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