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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: Sep 23, 2026
About Microsoft AI-102 Exam
Anxious about the AI-102 exam? Here is the good news: preparation is a solved problem when the materials are right. TorrentVCE's Microsoft Designing and Implementing a Microsoft Azure AI Solution bank — 425+ Q&As with expert-verified answers — was built for exactly your situation.
Microsoft AI-102 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing a Microsoft Azure AI Solution |
| Exam Number: | AI-102 |
| Exam Price: | $165 USD |
| Real Exam Qty: | 40-60 |
| Exam Format: | Drag-and-drop, Active screen questions, Multiple-choice, Case studies |
| Exam Duration: | 120 minutes |
| Related Certifications: | Microsoft Certified: Azure AI Engineer Associate |
| Available Languages: | Japanese, English, Korean, Chinese (Simplified) |
| Certificate Validity Period: | No expiration; certification remains valid unless Microsoft deprecates it |
| Passing Score: | 700 (on a scale of 1-1000) |
| Sample Questions: |  |
| Exam Way: | In-person at Pearson VUE testing centers or online proctored exam |
| Pre Condition: | Recommended: Understanding of Azure services, REST APIs, C#, Python, or JavaScript. No mandatory prerequisites, but Azure Administrator or Developer background is beneficial. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-102/ |
Microsoft AI-102 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement Natural Language Processing Solutions | 20-25% | - Build question answering solutions - Create conversational AI solutions with Azure AI Bot Service - Translate text and speech - Implement speech capabilities using Azure AI Speech - Analyze text using Azure AI Language |
| Plan and Manage an Azure AI Solution | 15-20% | - Select appropriate Azure AI services and technologies - Plan and configure secure AI solutions - Manage AI costs and resource allocation - Implement governance and compliance for AI solutions |
| Implement Decision Support Solutions | 10-15% | - Monitor and optimize decision support solutions - Integrate Azure AI services into applications - Design and implement decision automation |
| Implement Computer Vision Solutions | 15-20% | - Read and process documents using Azure AI Document Intelligence - Implement Azure AI Face service - Process video and generate insights - Analyze images using Azure AI Vision - Implement object detection and image classification |
| Implement Generative AI Solutions | 10-15% | - Apply responsible AI practices - Implement prompt engineering techniques - Integrate Azure OpenAI models into applications - Use Azure OpenAI Service for generative AI |
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Create custom skills for Azure AI Search - Implement semantic and vector search - Design document processing pipelines - Implement Azure AI Search solutions |
The AI-102 Exam: Ambition, Preparation, Policies
Per the latest exam information, the AI-102 exam presents 40-60 questions in 120 minutes minutes. Knowing the format precisely removes one major source of exam-day anxiety.
By replacing uncertainty with evidence at every step. Anxious about quality? The free demo is drawn from the real AI-102 bank, so you get a genuine preview before paying. Anxious about difficulty? Every answer is expert-verified, compiled conscientiously by our top specialists across the Microsoft Designing and Implementing a Microsoft Azure AI Solution objectives. Anxious about fit? Three versions — PDF, PC engine, and online engine — let you choose whichever suits your habits. And we are never self-satisfied: quality and service keep improving, release after release.
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The Microsoft Designing and Implementing a Microsoft Azure AI Solution blueprint covers these core domains:
- Implement Computer Vision Solutions (15-20%)
- Implement Natural Language Processing Solutions (20-25%)
- Implement Generative AI Solutions (10-15%)
The official outline lists further domains, all covered in our question bank.
Microsoft publishes these prerequisites for the Microsoft Designing and Implementing a Microsoft Azure AI Solution: Recommended: Understanding of Azure services, REST APIs, C#, Python, or JavaScript. No mandatory prerequisites, but Azure Administrator or Developer background is beneficial..
Check the authoritative wording on the official certification page before registering.
At present, passing the AI-102 exam requires 700 (on a scale of 1-1000), and the registration fee is $165 USD. Both are set by Microsoft and can change — confirm them on the official site when you book.
Written, clear, and honored. If you fail the corresponding exam within 60 days of purchase, send us a scanned copy of your enrollment slip and your official Score Report PDF within two days of the exam date; verified claims are refunded in full within seven days. Exclusions: exams taken within three days of purchase, candidate names that differ from the payer, and free or expired products. If you prefer, exchange your product for two others of equal value at no charge.
Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions:
Question #1
You have an Azure subscription that contains an Azure OpenA1 resource named All.
You plan to develop a console app that will answer user questions.
You need to call All and output the results to the console.
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:
You are using the Azure OpenAI .NET SDK to send a prompt ("What is Microsoft Azure?") to a text model deployment. For text generation, you must call the Completions endpoint; hence client.GetCompletions(...) (or the async variant) is correct.
The Response < Completions > object returns one or more choices; the generated text is contained in response.Value.Choices[0].Text , which you can write to the console.
GetEmbeddings would return vector embeddings, not natural-language text, and GetImageGenerations is for DALL E image generation, so neither meets the requirement to "answer user questions" and print text.
Microsoft References
Azure OpenAI Service (.NET) - Completions quickstart and sample showing GetCompletions and reading Choices[0].Text .
Azure OpenAI Service - Embeddings overview (returns vectors, not text).
Azure OpenAI Service - Image generation overview (DALL E, not for text answers).
Question #2
You are building a chatbot that will provide information to users as shown in the following exhibit.
Use the drop-down menus to 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:
Box 1: Adaptive card
Box 2: an image
Reference:
https://docs.microsoft.com/en-us/microsoftteams/platform/task-modules-and-cards/cards/cards-reference
https://docs.microsoft.com/en-us/composer/how-to-send-cards?tabs=v1x
Question #3
You train an Azure Custom Vision object detection model to identify a company ' s products by using the Retail domain.
You plan to deploy the model as part of a mobile app for Android phones.
You need to prepare the model for deployment.
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.
Correct Answer:
Explanation:
For deployment to a mobile app (Android), Custom Vision requires a compact domain so the model can be exported and run on-device (e.g., as TensorFlow Lite or ONNX). The model was trained using the Retail domain, which is not an exportable compact domain for object detection. Therefore:
Change the model domain to an exportable Object Detection (compact) domain (e.g., General [compact]).
Retrain the model so weights are learned under the new domain-domain changes require retraining.
Export the model for Android (typically TensorFlow Lite or ONNX) and integrate it into the app.
This sequence prepares the model for on-device mobile deployment with minimal extra development.
References (Microsoft Azure AI Solution)
Custom Vision: Only compact domains support model export for edge/mobile.
Changing a domain requires retraining the iteration.
Exporting object detection models supports TensorFlow/TensorFlow Lite/ONNX formats for Android integration.
Question #4
You have an Azure Cognitive Search instance that indexes purchase orders by using Form Recognizer You need to analyze the extracted information by using Microsoft Power Bl. The solution must minimize development effort.
What should you add to the indexer?
- A. a file projection
- B. a table projection
- C. a projection group
- D. an object projection
Correct Answer: B 🗳️
Explanation: Only visible for TorrentVCE members. You can sign-up / login (it's free).
Question #5
What is a primary characteristic of a relational database?
- A. a large amount of duplicate data
- B. a lack of dependencies between tables
- C. a flexible data structure
- D. data is queried and manipulated by using a variant of the SOL language
Correct Answer: D 🗳️
Explanation: Only visible for TorrentVCE members. You can sign-up / login (it's free).
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