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AI-102
  • Exam Code: AI-102
  • Exam Name: Designing and Implementing a Microsoft Azure AI Solution
  • Updated: Oct 11, 2026
  • No. of Questions: 425 Questions and Answers
  • Download Limit: Unlimited
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Certification exams evolve, and study material that stands still falls behind quietly. Exams4sures prevents that for the Microsoft Designing and Implementing a Microsoft Azure AI Solution exam: experts check the question bank daily, and updates reach you automatically — 425 practice questions that stay current.

Microsoft AI-102 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Designing and Implementing a Microsoft Azure AI Solution
Exam Number:AI-102
Passing Score:700 (scaled score out of 1000)
Related Certifications:Microsoft Certified: Azure Data Scientist Associate
Microsoft Certified: Azure AI Fundamentals (AI-900)
Microsoft Certified: Azure Developer Associate
Real Exam Qty:40-60
Certificate Validity Period:1 year (renewable via free online assessment)
Exam Price:$165 USD (varies by region: £113 GBP, €126 EUR)
Available Languages:Chinese (Simplified), Portuguese (Brazil), Arabic (Saudi Arabia), Indonesian, Korean, French, Italian, Spanish, English, German, Japanese
Exam Format:Case studies, Performance-based scenarios, Multiple choice, Drag-and-drop, Multiple select, Hot area
Exam Duration:100 minutes
Recommended Training:Microsoft Learn Learning Paths for AI-102
AI-102T00: Designing and Implementing a Microsoft Azure AI Solution
Exam Registration:Microsoft Certification Exam Registration
Pearson VUE Scheduling
Sample Questions: DOWNLOAD DEMO
Exam Way:Online proctored (OnVUE) or onsite at Pearson VUE test centers
Pre Condition:No formal prerequisites; recommended: experience with Azure services, AI concepts, and proficiency in Python or C#; AI-900 certification is recommended but not required
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-102

Microsoft AI-102 Exam Syllabus Topics:

SectionWeightObjectives
Implement knowledge mining and information extraction solutions15-20%- Build knowledge bases and search indexes
- Extract entities, relationships, and key phrases
- Ingest and process structured/unstructured data
- Implement intelligent search and retrieval
Implement computer vision solutions10-15%- Extract text and handwriting from images
- Integrate vision capabilities into applications
- Analyze images and detect objects/features
- Process and index video content
- Build and deploy custom vision models
Implement an agentic solution5-10%- Test, deploy, and optimize agents
- Build agents with Microsoft Foundry Agent Service
- Develop multi-agent workflows and orchestration
- Understand agent use cases and types
Implement natural language processing solutions15-20%- Perform text analysis, sentiment detection, and language detection
- Implement translation and summarization
- Customize and deploy NLP models
- Build conversational AI and chatbots
Plan and manage an Azure AI solution20-25%- Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining
- Select suitable AI models
- Plan solutions aligned with responsible AI principles
- Create and configure Azure AI resources
- Select appropriate Microsoft Foundry Services
- Monitor, optimize, and secure AI solutions
Implement generative AI solutions15-20%- Apply prompt engineering and fine-tuning
- Deploy and manage generative models
- Implement model monitoring and feedback
- Integrate Azure OpenAI and other generative models
- Orchestrate multiple models and containers

AI-102 Exam FAQ

The Microsoft Designing and Implementing a Microsoft Azure AI Solution exam requires a score of 700 (scaled score out of 1000) to pass, and the official registration fee is $165 USD (varies by region: £113 GBP, €126 EUR). Knowing both numbers before you register keeps your preparation budget realistic.

The Microsoft Designing and Implementing a Microsoft Azure AI Solution practice questions are organized around the official exam objectives. Key topics include:

  • Implement computer vision solutions (10-15%)
  • Implement an agentic solution (5-10%)
  • Implement knowledge mining and information extraction solutions (15-20%)

A systematic pass through these topics covers the syllabus end to end.

You can register for the Microsoft Designing and Implementing a Microsoft Azure AI Solution exam through the official channels:

The Microsoft Designing and Implementing a Microsoft Azure AI Solution exam is scored on a scale where 700 (scaled score out of 1000) is required to pass, and the official exam fee is $165 USD (varies by region: £113 GBP, €126 EUR).

No formal prerequisites; recommended: experience with Azure services, AI concepts, and proficiency in Python or C#; AI-900 certification is recommended but not required

You can confirm the current eligibility requirements on the official AI-102 exam page before you register.

Our experts review the question bank every day, and whenever a new version is released, our system sends it to your email automatically — no request needed. If an update ever seems to go missing, check your junk or spam folder first, since automated messages occasionally land there; contact us if it truly never arrived.

Many candidates combine practice questions with official training. Recommended options include:

The Microsoft Designing and Implementing a Microsoft Azure AI Solution exam contains 40-60 questions, and you will have 100 minutes minutes to complete them. Practicing under these exact constraints makes the real exam feel like one more rehearsal.

Yes. If anything about the updated material or your preparation is unclear, you can contact our experts directly after purchase. They will work through your question and offer professional advice on how to approach the material, so the product comes with guidance, not just files.

This package includes 425 practice questions for the Microsoft Designing and Implementing a Microsoft Azure AI Solution exam. Every answer is verified by an experienced team of experts, so you can trust what you study.

Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions:

You have an Azure subscription that contains an Azure App Service app named Appl.
You provision a multi-service Azure Cognitive Services resource named CSAccount1.
You need to configure App1 to access CSAccount1. The solution must minimize administrative effort.
What should you use to configure App1?

  • A. the endpoint URI and an OAuth token
  • B. the endpoint URI and a shared access signature (SAS) token
  • C. a system-assigned managed identity and an X.509 certificate
  • D. the endpoint URI and subscription key
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

You have an app that uses an Azure Al Foundry Content Safety blocklist.
You need to remove an entry from the blocklist The solution must minimize the impact on existing entries on the list.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You build a language model by using a Language Understanding service. The language model is used to search for information on a contact list by using an intent named FindContact.
A conversational expert provides you with the following list of phrases to use for training.
Find contacts in London. Who do I know in Seattle?
Search for contacts in Ukraine.
You need to implement the phrase list in Language Understanding.
Solution: You create a new pattern in the FindContact intent.
Does this meet the goal?

  • A. Yes
  • B. No
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for Exams4sures members. You can sign-up / login (it's free).

You are building a chatbot by using Microsoft Bot Framework Composer.
You need to configure the chatbot to present a list of available options. The solution must ensure that an image is provided for each option.
Which two features should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. an Azure function
  • B. an utterance
  • C. a dialog
  • D. an adaptive card
  • E. an entity
Reveal Solution  Discussion  0

Correct Answer: C,D  🗳️

Explanation: Only visible for Exams4sures members. You can sign-up / login (it's free).

You build a bot by using the Microsoft Bot Framework SDK.
You need to test the bot interactively on a local machine.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Comprehensive Detailed Explanation
The question asks about testing a bot interactively on a local machine when using the Microsoft Bot Framework SDK.
Steps to test locally:
Build and run the bot
Compile the bot application code and run it locally (e.g., using Visual Studio or Node.js).
This exposes the bot's endpoint on localhost (commonly http://localhost:3978/api/messages ).
Open the Bot Framework Emulator
The Bot Framework Emulator is a desktop app for testing and debugging bots built with the Bot Framework SDK.
It allows you to send messages to the bot and see the responses.
Connect to the bot endpoint
Use the Emulator to connect to the locally running bot by entering its endpoint URL.
Once connected, you can interact with the bot as if you were a real user.
Actions Not Required in This Case
Register the bot with the Azure Bot Service # Needed for cloud deployment, not local testing.
Open the Bot Framework Composer # Only needed if designing the bot with Composer, but this scenario uses the SDK directly.
Correct Sequences (multiple possible valid orders):
Build and run the bot # Open the Bot Framework Emulator # Connect to the bot endpoint Microsoft References Test a bot locally with Bot Framework Emulator Bot Framework SDK overview
# Final Answer Sequence:
Build and run the bot
Open the Bot Framework Emulator
Connect to the bot endpoint

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