Microsoft AI-100 Exam Preparation

Exam Name: Designing and Implementing an Azure AI Solution

101 Total Questions
Jun 18, 2019 updated
  • Exam Code: AI-100
  • Certification Provider: Microsoft

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101 Total Question Jun 18, 2019 Updated
Questions & Answers (PDF)
101 Total Question Jun 18, 2019 Updated
Microsoft Designing and Implementing an Azure AI Solution Exam Details
Technology Microsoft Azure
Audience Azure Administrators
Related Certification(s) Microsoft Azure AI Engineer Associate Certification
Additional Microsoft AI-100 Exam Information
Certification Track Microsoft Azure
Certification Level Associate


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Microsoft AI-100 Exam Major Topics

  • Analyze Solution Requirements/ Identify Storage Solutions
  • Identify The Appropriate Storage Capacity, Storage Types And Storage Locations For A Solution
  • Recommend Tools, Technologies, And Processes To Meet Process Flow Requirements/ Identify Components And Technologies Required To Connect Service Endpoints
  • Map Security Requirements To Tools, Technologies, And Processes/ Determine Which Users And Groups Have Access To Information And Interfaces
  • Identify Appropriate Tools For A Solution/ Identify Auditing Requirements
  • Select Software And Services Required To Support The Solution/ Identify Appropriate Services/Tools For The Solution
  • Design An AI Solution That Includes One Or More Pipelines/ Design The Compute Infrastructure To Support A Solution
  • Design Intelligent Edge Solutions/ Design Data Governance/ Design Solutions That Adhere To Cost Constraints
  • Integrate AI Models Into Solutions/ Orchestrate An AI Workflow/ Manage The Flow Of Data Through Solution Component
  • Integrate AI Services With Solution Components/ Set Up Prerequisite Components And Input Datasets To Allow Consumption Of Cognitive Services Apis
  • Integrate Intelligent Edge With Solutions/ Design Pre-Processing And Processing Strategy For Iot Data
  • Deploy And Manage Solutions/ Provision Required Cloud, On-Premises, And Hybrid Environments
  • Validate Solutions To Ensure Compliance With Data Privacy And Security Requirements/ Monitor And Evaluate The AI Environment
  • Identify Differences Between Kpis And Reported Metrics And Determine Root Causes For Differences

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