Designing and Implementing a Microsoft Azure AI Solution

AI-102

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Question Types
Multiple choiceFill in the blankDiagramsCase studies

What's Included

101
Practice Questions
1
Exam Versions
10
Languages
Translation Beta
Feb 23, 2021
Release Date
Aug 11, 2025Last Updated

Complete Exam Package

101 AI-102 practice questions with detailed explanations

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Study Mode, Timed Practice, and Flashcard Review

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Exam Details

Duration100 min
Passing Score700
Languages English +9
LevelAssociate
TestingPearson VUE
Valid For1 year
Release DateFeb 23, 2021
Exam Cost$165

What topics are on the AI-102 exam?

1

Plan and manage an Azure AI solution 22.5%

1.1
Select the appropriate Azure AI Foundry services
4 subtopics
1.1.1Select the appropriate service for a generative AI solution
1.1.2Select the appropriate service for a computer vision solution
1.1.3Select the appropriate service for NLP and speech solutions
1.1.4Select services for knowledge mining
Learning Objectives
  • Select the appropriate Azure AI Foundry service based on solution requirements
  • Understand service capabilities and limitations
  • Match business requirements to technical solutions
1.2
Plan, create and deploy an Azure AI Foundry service
2 subtopics
1.2.1Plan for Responsible AI principles
1.2.2Create and deploy Azure AI resources
Learning Objectives
  • Create and configure Azure AI resources
  • Deploy models using appropriate methods
  • Integrate AI services into applications
1.3
Manage, monitor, and secure an Azure AI Foundry Service
2 subtopics
1.3.1Monitor and manage AI resources
1.3.2Secure AI solutions
Learning Objectives
  • Monitor AI solution performance and costs
  • Implement security best practices
  • Manage authentication and authorization
1.4
Implement AI solutions responsibly
1 subtopics
1.4.1Content moderation and safety
Learning Objectives
  • Implement content moderation solutions
  • Configure responsible AI insights
  • Design governance frameworks
Domain Hands-on Skills
Creating Azure AI resources via portal and CLIConfiguring authentication and authorizationSetting up monitoring and alertsImplementing content safety measures
Common Mistakes to Avoid
  • Not considering responsible AI principles early in design
  • Overlooking cost optimization opportunities
  • Inadequate security configuration
  • Not implementing proper monitoring
2

Implement generative AI solutions 17.5%

3

Implement an agentic solution 7.5%

4

Implement computer vision solutions 12.5%

5

Implement natural language processing solutions 17.5%

6

Implement knowledge mining and information extraction solutions 17.5%

How do I earn the Designing and Implementing a Microsoft Azure AI Solution certification?

Career Progression

Entry Level

  • Title:Junior AI Engineer
  • Experience Years:0-2
  • Recommended Certs:AI-900, AZ-900
  • Typical Responsibilities:Assist in implementing AI solutions, Work with pre-built AI models, Support data preparation tasks, Help with testing and validation

Mid Level

  • Title:AI Engineer
  • Experience Years:2-5
  • Recommended Certs:AI-102
  • Typical Responsibilities:Design and implement AI solutions, Build custom AI models, Integrate AI services into applications, Optimize model performance, Implement responsible AI practices

Senior Level

  • Title:Senior AI Engineer / AI Architect
  • Experience Years:5+
  • Recommended Certs:AI-102, DP-100, AZ-305
  • Typical Responsibilities:Architect enterprise AI solutions, Lead AI development teams, Define AI strategy and roadmap, Ensure scalability and security, Mentor junior engineers

How do I study for the AI-102 Exam?

Practice the Designing and Implementing a Microsoft Azure AI Solution with our Exam Simulator

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Official Resources

Official AI-102 Study GuideStudy Guide

Community Resources

Microsoft Q&AReddit r/AzureCertificationAzure AI Blog

Hands-on Labs

Azure AI Fundamentals LabsAzure AI Services WorkshopsSelf-paced workshopsAzure Free Account

Learn more about this exam

Microsoft Azure AI Engineer (AI-102) Learning PathPluralsightAI-102 Microsoft Azure AI Solution Complete Exam PrepUdemyAI-102 Exam Preparation Learning PathCloud AcademyAzure AI GalleryAzure AI Demos

Study Plans

Beginner Path (12 weeks)

  1. 1-2: Azure fundamentals and AI concepts
  2. 3-4: Azure AI services overview and setup
  3. 5-6: Computer vision and custom vision
  4. 7-8: Natural language processing and speech
  5. 9-10: Azure OpenAI and generative AI
  6. 11-12: Knowledge mining and practice tests

Experienced Path (6 weeks)

  1. 1: Assessment and gap analysis
  2. 2-3: Deep dive into weak areas
  3. 4-5: Azure OpenAI and new features
  4. 6: Final review and practice

What's changed on this exam?

Status: ACTIVE

Technology Coverage

Azure AI Foundry2.0

Major new exam domain - 15-20% of questions

Released: 2025-03-15
Semantic Kernel1.5

Used in agentic solutions domain

Released: 2025-04-01
AutoGen0.2

Multi-agent orchestration scenarios

Released: 2025-05-01
Azure AI Content Understanding1.0

New service in knowledge mining domain

Released: 2025-02-01

Industry Trends

Who should take this exam?

Recommended Experience

  • Experience with Python or C# programming
  • Understanding of REST APIs and SDKs
  • Knowledge of Azure fundamentals
  • Basic understanding of AI and ML concepts
  • Experience building solutions with Azure AI services
  • Working knowledge of JSON and data formats
  • Understanding of authentication and security in Azure
  • Experience with Azure portal and CLI

Experience Level: Intermediate

How do I register & what's the exam fee?

Exam Cost$165 USD
Testing CentersPearson VUE
Online ProctoringAvailable

How long is the certification valid?

Valid For1 year
Recertification
  • Free online assessment on Microsoft Learn annually
  • Pass renewal assessment before expiration
  • Complete specified Microsoft Learn modules

What jobs can I get with this?

Career Benefits

Average Salary UsdEntry Level: 95,000; Mid Level: 125,000; Senior Level: 155,000
Job Demandhigh
Career ProgressionJunior AI Engineer, AI Engineer, Senior AI Engineer, AI Solutions Architect, AI Team Lead

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