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What is the passing score for Designing and Implementing a Microsoft Azure AI Solution?

You need 700 / 1000 to pass the AI-102 exam.

What are common mistakes on the Designing and Implementing a Microsoft Azure AI Solution exam?

Common pitfalls include: Service Selection, SDK vs REST, Responsible AI, Search Index Design, Model Deployment. Focus study time on these areas to avoid losing points.

Designing and Implementing a Microsoft Azure AI Solution Practice Exam 2026 (AI-102)

Name: Pass-IT
Author: Pass-IT

Designing and Implementing a Microsoft Azure AI Solution

The AI-102 certification validates the skills needed to design and implement AI solutions using Azure AI services, including Azure AI Search, Azure OpenAI Service, Azure AI Document Intelligence, and Azure AI Vision. 50+ AI-generated practice questions with explanations. Free trial, pass guarantee.

7-day free trial, no credit card required

50 Questions

100min Time Limit

700/ 1000 Pass Score

About the exam

The AI-102 certification validates the skills needed to design and implement AI solutions using Azure AI services, including Azure AI Search, Azure OpenAI Service, Azure AI Document Intelligence, and Azure AI Vision. It covers building natural language processing solutions, knowledge mining pipelines, generative AI applications, and computer vision systems on Azure.

This certification is designed for software developers and AI engineers who build, manage, and deploy AI solutions leveraging Azure AI services. Candidates should be proficient in C# or Python and have experience using REST APIs and SDKs to build intelligent applications on the Azure platform.

What's on the exam

The exam consists of 40–60 questions to be completed in approximately 100 minutes (120 minutes if labs are included). Question types include multiple-choice, multiple-select, drag-and-drop, hot area, and case study formats. Questions are scenario-based, requiring you to choose the right Azure AI services and configurations for specific business requirements. Budget your time carefully on case studies as they include multiple sub-questions.

Plan and manage an Azure AI solution 24%

Select appropriate Microsoft Foundry Services, plan/create/deploy services, manage/monitor/secure services, and implement AI solutions responsibly

Implement generative AI solutions 18%

Build generative AI solutions with Microsoft Foundry, use Azure OpenAI in Foundry Models, and optimize/operationalize generative AI solutions

Implement an agentic solution 8%

Create custom agents using Microsoft Foundry Agent Service and Microsoft Agent Framework

Implement computer vision solutions 13%

Analyze images, implement custom vision models, and analyze videos using Azure AI services

Implement natural language processing solutions 18%

Analyze and translate text, process and translate speech, and implement custom language models

Implement knowledge mining and information extraction solutions 19%

Implement Azure AI Search, Azure Document Intelligence in Foundry Tools, and extract information with Azure Content Understanding

Where candidates struggle

This exam demands hands-on experience with Azure AI services and SDKs. Candidates who rely only on conceptual knowledge without building real AI solutions often struggle with the implementation-focused questions.

Service Selection — Confusing when to use Azure AI Search vs Azure OpenAI vs Azure AI Services for specific use cases.

SDK vs REST — Not knowing the differences between SDK and REST API implementations for each Azure AI service.

Responsible AI — Overlooking responsible AI principles and content filtering configurations required in Azure OpenAI deployments.

Search Index Design — Failing to understand skillsets, indexers, and enrichment pipelines in Azure AI Search.

Model Deployment — Confusing deployment options and endpoint configurations for custom models and Azure OpenAI models.

Exam logistics

Delivered via Pearson VUE online or at testing centers. Available in English, Japanese, Chinese, and Korean. The certification is valid for 1 year with a free renewal assessment available on Microsoft Learn.

Delivery Pearson VUE online proctored or at authorized testing centers worldwide

Retake policy 24-hour wait after the first attempt, 14 days between subsequent attempts, maximum 5 attempts per exam within a 12-month period

Validity 1 year

Career outcomes AI Engineer, Azure AI Developer, Machine Learning Engineer, Cognitive Services Developer, AI Solutions Architect

Renewal Free renewal assessment on Microsoft Learn, available starting 6 months before expiration. Must be completed before the certification expires.

Study time ~50 hours

Official guide View on vendor site

Designing and Implementing a Microsoft Azure AI Solution

About the exam

What's on the exam

What to expect

Where candidates struggle

Exam logistics

Ready to pass?