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Microsoft AI-100 Exam Syllabus Topics:

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

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

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