Microsoft AI-100

Exam Code: AI-100

Exam Name: Designing and Implementing an Azure AI Solution

Updated: Jun 16, 2026

Q & A: 163 Questions and Answers

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About Microsoft AI-100 Exam

Microsoft AI-100 Exam Syllabus Topics:

Topic	Details
Topic 1	Analyze Solution Requirements Identify Storage Solutions
Topic 2	Identify Differences Between Kpis And Reported Metrics And Determine Root Causes For Differences
Topic 3	Integrate AI Services With Solution Components Set Up Prerequisite Components And Input Datasets To Allow Consumption Of Cognitive Services Apis
Topic 4	Select Software And Services Required To Support The Solution Identify Appropriate Services Tools For The Solution
Topic 5	Integrate Intelligent Edge With Solutions Design Pre-Processing And Processing Strategy For Iot Data
Topic 6	Identify The Appropriate Storage Capacity, Storage Types And Storage Locations For A Solution
Topic 7	Validate Solutions To Ensure Compliance With Data Privacy And Security Requirements Monitor And Evaluate The AI Environment
Topic 8	Integrate AI Models Into Solutions Orchestrate An AI Workflow Manage The Flow Of Data Through Solution Component
Topic 9	Deploy And Manage Solutions Provision Required Cloud, On-Premises, And Hybrid Environments
Topic 10	Design Intelligent Edge Solutions Design Data Governance Design Solutions That Adhere To Cost Constraints
Topic 11	Identify Appropriate Tools For A Solution Identify Auditing Requirements
Topic 12	Design An AI Solution That Includes One Or More Pipelines Design The Compute Infrastructure To Support A Solution
Topic 13	Recommend Tools, Technologies, And Processes To Meet Process Flow Requirements Identify Components And Technologies Required To Connect Service Endpoints

Reference: https://www.microsoft.com/en-us/learning/exam-ai-100.aspx

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Microsoft AI-100