Designing and Implementing a Microsoft Azure AI Solution: AI-102 Exam
"Designing and Implementing a Microsoft Azure AI Solution", also known as AI-102 exam, is a Microsoft Certification. With the complete collection of questions and answers, PrepPDF has assembled to take you through 425 Q&As to your AI-102 Exam preparation. In the AI-102 exam resources, you will cover every field and category in Azure AI Engineer Associate Certification helping to ready you for your successful Microsoft Certification.
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- Exam Code: AI-102
- Exam Name: Designing and Implementing a Microsoft Azure AI Solution
- Certification Provider: Microsoft
- Corresponding Certification: Azure AI Engineer Associate
- Updated: Sep 21, 2026
- No. of Questions: 425 Questions & Answers with Testing Engine
- Download Limit: Unlimited
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Microsoft AI-102 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing a Microsoft Azure AI Solution |
| Exam Number: | AI-102 |
| Exam Duration: | 100-120 |
| Certificate Validity Period: | 1 year (renewable annually via Microsoft certification renewal assessment) |
| Exam Format: | Drag and drop, Multiple response, Multiple choice, Build/review solution scenarios, Case studies |
| Real Exam Qty: | 40-60 (approximate range) |
| Exam Price: | USD 165 (varies by country/region) |
| Passing Score: | 700 (out of 1000) |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals (AI-900) |
| Available Languages: | Korean, Spanish (Latin America), Japanese, French, Simplified Chinese, German, English, Portuguese (Brazil) |
| Recommended Training: | Microsoft Learn AI-102 Learning Path Azure AI Engineer Associate Study Resources |
| Exam Registration: | Microsoft Learn AI-102 Certification Page Microsoft Certification Exam Registration (Pearson VUE) |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or onsite test center (Pearson VUE) |
| Pre Condition: | No formal prerequisites required, but familiarity with Azure fundamentals and AI/ML concepts is recommended |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-engineer/ |
Microsoft AI-102 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Implement Natural Language Processing Solutions | - Implement question answering and conversational AI - Analyze text using Azure AI Language - Translate and interpret language using Azure AI services |
| Topic 2: Plan and Manage an Azure AI Solution | - Select appropriate Azure AI services - Manage security, compliance, and responsible AI - Plan solution requirements and architecture |
| Topic 3: Implement Generative AI Solutions | - Build retrieval-augmented generation (RAG) solutions - Implement Azure OpenAI Service solutions - Integrate prompt engineering techniques |
| Topic 4: Implement Knowledge Mining and Document Intelligence | - Build Azure AI Search solutions - Enrich and index data for search scenarios - Implement document intelligence solutions |
| Topic 5: Implement Computer Vision Solutions | - Extract information using OCR and form recognition - Implement custom vision models - Analyze images and videos using Azure AI Vision |
AI-102 Exam FAQ: The Details That Matter
The Microsoft Designing and Implementing a Microsoft Azure AI Solution exam requires 700 (out of 1000) to pass, and registration costs USD 165 (varies by country/region). A failed attempt means paying the same fee again — a readiness check with the PrepPDF engines before booking is the cheaper option.
Microsoft recommends these training resources for the Microsoft Designing and Implementing a Microsoft Azure AI Solution exam:
Follow the training with steady self-testing — the 425 practice questions from PrepPDF help you apply theory and fill any gaps the training leaves.
The AI-102 exam is a Microsoft certification exam validating the Microsoft Designing and Implementing a Microsoft Azure AI Solution syllabus shown above. It belongs to these credential paths: Microsoft Certified: Azure AI Fundamentals (AI-900). Candidates in 2026 prepare for it with PrepPDF's 425 practice questions, available as a printable PDF, a Windows Desktop Test Engine, and an Online Test Engine — three versions of the same materials.
PrepPDF issues a full refund if you take the Microsoft Designing and Implementing a Microsoft Azure AI Solution exam within 60 days of purchase and do not pass. The policy does not apply if the exam is taken within 3 days of purchase, if the exam was never actually taken, or to free materials or expired orders, and the candidate name must match the payer name. Submit a scan of your enrollment slip and the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Alternatively, exchange for two free exam products of equal value and keep your original update service. Orders arrive by email within 1 minute — contact support if nothing arrives within 2 hours.
Online proctored or onsite test center (Pearson VUE) Register for the Microsoft Designing and Implementing a Microsoft Azure AI Solution exam through these official channels:
After booking, PrepPDF delivers your practice questions within 1 minute — preparation starts the same day.
The Microsoft Designing and Implementing a Microsoft Azure AI Solution exam contains 40-60 (approximate range) to complete within 100-120. Timed simulation in the PrepPDF Desktop Test Engine teaches that rhythm before exam day does.
The official Microsoft Designing and Implementing a Microsoft Azure AI Solution outline defines 5 domains. The leading three are Implement Computer Vision Solutions, Implement Generative AI Solutions, and Implement Natural Language Processing Solutions. The full list is in the topics section above, and PrepPDF's 425 practice questions cover each one.
Three versions of the same study materials: a printable, expert-prepared PDF with free demo download and instant access; a Desktop Test Engine for Windows that simulates the real exam with two practice modes and works offline; and an Online Test Engine for any browser on Windows, Mac, Android, and iOS with test history and performance review. All 425 practice questions are identical across versions. Every purchase includes 365 days of free updates — whenever a new version is compiled, it is sent to you automatically — plus a 50% renewal discount afterward and unlimited computer installations.
No formal prerequisites required, but familiarity with Azure fundamentals and AI/ML concepts is recommended Since requirements change over time, confirm the latest on the official Microsoft exam page before scheduling.
Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions:
You have an Azure subscription that contains an Azure OpenAI resource named All and a user named User1 You need to ensure that User1 can perform the following actions in Azure OpenAI Studio;
* Identify resource endpoints.
* View models that are available for deployment.
* Generate text and images by using the deployed models
The solution must follow the principle of least privilege Which role should you assign to User1?
- A. Cognitive Services Contributor
- B. Contributor
- C. Cognitive Services OpenAI User
- D. Cognitive Services OpenAI Contributor
Correct Answer: C 🗳️
Explanation: Only visible for PrepPDF members. You can sign-up / login (it's free).
You have an Azure subscription that contains a Microsoft Foundry hub named Hub1, an Azure OpenAI resource named resource1, and a user named User1.
You need to ensure that User1 can create a new Azure Content Understanding in Foundry Tools project in Hub1. The solution must follow the principle of least privilege.
Which role should you assign to User1?
- A. Azure AI Developer
- B. Azure AI Administrator
- C. Cognitive Services OpenAI User
- D. Cognitive Services OpenAI Contributor
Correct Answer: C 🗳️
You are developing an app that will use the Decision and Language APIs.
You need to provision resources for the app. The solution must ensure that each service is accessed by using a single endpoint and credential.
Which type of resource should you create?
- A. Azure Cognitive Services
- B. Speech
- C. Language
- D. Content Moderator
Correct Answer: A 🗳️
You have a file share that contains 5.000 images of scanned invoices.
You need to analyze the images. The solution must extract the following data:
* Invoice items
* Sales amounts
* Customer details
What should you use?
- A. Azure Al Immersive Reader
- B. Azure Custom Vision
- C. Azure Al Vision
- D. Azure Al Document Intelligence
Correct Answer: D 🗳️
You are developing the shopping on-the-go project.
You need to build the Adaptive Card for the chatbot.
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:
Comprehensive Detailed Explanation
The requirement is to build an Adaptive Card for the chatbot that supports multilingual product display and meets accessibility requirements.
Product Name Display
The product JSON stores localized names like " name " : { " en " : " ... " , " es " : " ... " , " pt " : " ... " } .
To dynamically render based on the current language, you must use name[language].
This ensures the product name shown in the card adapts automatically to the user's preferred language.
Stock Level Warning
Business rules require warnings when stock is low or out of stock.
This means you display the stock warning only when stockLevel is not ' OK ' .
Therefore, the correct condition is:
" $when " : " ${stockLevel != ' OK ' } "
Image Alt Text for Accessibility
Accessibility requirements specify that all images must have alt text in English, Spanish, and Portuguese.
In the product JSON, " alttext " is also localized:
" altText " : { " en " : " Bicycle " , " es " : " Bicicleta " , " pt " : " Bicicleta " } To render the correct localized alt text dynamically, use image.altText[language].
Correct Selections:
First blank: name[language]
Second blank: " $when " : " ${stockLevel != ' OK ' } "
Third blank: image.altText[language]
Microsoft References
Adaptive Cards Templating
Adaptive Card $when property
Multilingual data in Azure Cognitive Search and Adaptive Cards
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