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Microsoft AI-102 : Designing and Implementing a Microsoft Azure AI Solution
- Exam Code: AI-102
- Exam Name: Designing and Implementing a Microsoft Azure AI Solution
- Updated: Oct 14, 2026 Q & A: 425 Questions and Answers
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This exam measures your ability to accomplish the following technical tasks: plan and manage an Azure Cognitive Services solutions; implement Computer Vision solutions; implement natural language processing solutions; implement knowledge mining solutions; and implement conversational AI solutions.
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution
Candidates for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution build, manage, and deploy AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework.
Their responsibilities include participating in all phases of AI solutions development—from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring.
They work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end AI solutions.
Candidates for this exam should be proficient in C# or Python and should be able to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure.
They should also understand the components that make up the Azure AI portfolio and the available data storage options. Plus, candidates need to understand and be able to apply responsible AI principles.
Part of the requirements for: Microsoft Certified: Azure AI Engineer Associate
Microsoft AI-102 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Implement Knowledge Mining and Document Intelligence | - Implement document intelligence solutions - Build Azure AI Search solutions - Enrich and index data for search scenarios |
| Topic 2: Implement Generative AI Solutions | - Integrate prompt engineering techniques - Build retrieval-augmented generation (RAG) solutions - Implement Azure OpenAI Service solutions |
| Topic 3: Implement Computer Vision Solutions | - Extract information using OCR and form recognition - Analyze images and videos using Azure AI Vision - Implement custom vision models |
| Topic 4: Implement Natural Language Processing Solutions | - Translate and interpret language using Azure AI services - Analyze text using Azure AI Language - Implement question answering and conversational AI |
| Topic 5: Plan and Manage an Azure AI Solution | - Select appropriate Azure AI services - Manage security, compliance, and responsible AI - Plan solution requirements and architecture |
Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions:
Question #1
You have an Azure subscription that contains an Azure OpenAI resource.
You plan to build an agent by using the Azure Ai Agent Service. The agent will perform the following actions:
* Interpret written and spoken questions from users.
* Generate answers to the questions.
* Output the answers as speech.
You need to create the project for the agent.
What should you use?
- A. Azure Al Foundry
- B. the Azure portal
- C. Speech studio
- D. Language Studio
Correct Answer: A 🗳️
Explanation: Only visible for Pass4guide members. You can sign-up / login (it's free).
Question #2
You are building a message handling system that will use the Azure Translator in Foundry Tools service.
You need to ensure that incoming messages are translated to English.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
Question #3
You have a custom Azure OpenAI model.
You have the files shown in the following table.
You need to prepare training data for the model by using the OpenAI CLI data preparation tool. Which files can you upload to the tool?
- A. File4.xlsx only
- B. File1.tsv.File2.xml and File4.xslx only
- C. Filel.tsv only
- D. File1.tsv and File4.xslx only
- E. File3.pdf only
- F. File1.tsv, File2.xml, Fil3.pdf and File4.xslx
- G. File2.xml only
Correct Answer: C 🗳️
Explanation: Only visible for Pass4guide members. You can sign-up / login (it's free).
Question #4
You have a bot that was built by using the Microsoft Bot Framework composer as shown in the following exhibit.
Use the drop-down menus 10 select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
Comprehensive Detailed Explanation
Looking at the exhibit:
The GetWeather dialog is set up with a trigger phrase:
"what is the weather like in {city=Seattle}"
Here, city is an entity (ex: Seattle, New York, London, etc.).
1. User asks "what is the weather like in New York"
Since "New York" matches the city entity, the bot will correctly identify New York as a city entity.
It will not confuse it with a state entity, nor default to Seattle, because entity recognition extracts the correct city name dynamically.
Correct choice: Identify New York as a city entity
2. GetWeather dialog trigger
In Bot Framework Composer, the trigger type determines how the dialog is activated.
Since GetWeather is linked to the intent "GetWeather" from the Language Understanding model (LUIS
/CLU), the trigger is Language Understanding Intent recognized.
This means whenever the user utterance maps to the GetWeather intent, the dialog starts.
Correct choice: Language Understanding Intent recognized
The answer:
Identify New York as a city entity
Language Understanding Intent recognized
Microsoft References
Bot Framework Composer - Triggers
Entities in Conversational Language Understanding
Question #5
You have a flow that you plan to deploy to Azure Machine Learning managed online endpoints for real-time inference.
You need to modify the YAML configuration file for the deployment to ensure that trace data and system metrics are collected and sent to an Application Insights resource named my-app-insights.
How should you modify the file? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
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