PDF Version DemoA Microsoft credential carries real weight with employers, and the Microsoft Designing and Implementing a Microsoft Azure AI Solution exam is the step that earns it. Getcertkey makes that step shorter with 425 expert-prepared practice questions for the AI-102 exam.
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) |
| Certificate Validity Period: | 1 year (renewable via free online assessment) |
| Exam Duration: | 100 minutes |
| Exam Format: | Performance-based scenarios, Drag-and-drop, Multiple select, Case studies, Hot area, Multiple choice |
| Related Certifications: | Microsoft Certified: Azure Developer Associate Microsoft Certified: Azure Data Scientist Associate Microsoft Certified: Azure AI Fundamentals (AI-900) |
| Real Exam Qty: | 40-60 |
| Available Languages: | Portuguese (Brazil), Indonesian, Korean, English, Japanese, German, Italian, Arabic (Saudi Arabia), Chinese (Simplified), Spanish, French |
| Exam Price: | $165 USD (varies by region: £113 GBP, €126 EUR) |
| Recommended Training: | Microsoft Learn Learning Paths for AI-102 AI-102T00: Designing and Implementing a Microsoft Azure AI Solution |
| Exam Registration: | Pearson VUE Scheduling Microsoft Certification Exam Registration |
| Sample Questions: |  |
| 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:
| Section | Weight | Objectives |
|---|---|---|
| Implement generative AI solutions | 15-20% | - Implement model monitoring and feedback - Deploy and manage generative models - Orchestrate multiple models and containers - Integrate Azure OpenAI and other generative models - Apply prompt engineering and fine-tuning |
| Implement natural language processing solutions | 15-20% | - Customize and deploy NLP models - Perform text analysis, sentiment detection, and language detection - Implement translation and summarization - Build conversational AI and chatbots |
| Implement knowledge mining and information extraction solutions | 15-20% | - Ingest and process structured/unstructured data - Build knowledge bases and search indexes - Extract entities, relationships, and key phrases - Implement intelligent search and retrieval |
| Implement computer vision solutions | 10-15% | - Analyze images and detect objects/features - Process and index video content - Integrate vision capabilities into applications - Build and deploy custom vision models - Extract text and handwriting from images |
| Plan and manage an Azure AI solution | 20-25% | - Plan solutions aligned with responsible AI principles - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Select suitable AI models - Select appropriate Microsoft Foundry Services - Create and configure Azure AI resources - Monitor, optimize, and secure AI solutions |
| Implement an agentic solution | 5-10% | - Test, deploy, and optimize agents - Develop multi-agent workflows and orchestration - Build agents with Microsoft Foundry Agent Service - Understand agent use cases and types |
AI-102 Exam FAQs for 2026 Candidates
Which certification does the AI-102 exam lead to?
The AI-102 exam is the official Microsoft exam behind the Microsoft Certified: Azure AI Engineer Associate certification, validating the skills measured by the Microsoft Designing and Implementing a Microsoft Azure AI Solution credential. It sits at the Associate level of the Microsoft certification program. It also connects to Microsoft Certified: Azure AI Fundamentals (AI-900), Microsoft Certified: Azure Data Scientist Associate, Microsoft Certified: Azure Developer Associate, so the knowledge you build here carries over to those tracks as well.
How many questions are on the AI-102 exam, and how much time do I get?
The AI-102 exam contains 40-60 questions to be completed within 100 minutes. Before exam day, divide the available time by the question count to work out a comfortable per-question pace, and mark any item that eats into it so you can return later instead of getting stuck. Timed sessions in the Getcertkey test engines make that pacing automatic — run at least two full-length mock exams under the clock so time pressure never becomes the reason you drop points.
What score do I need to pass the AI-102 exam, and what does it cost?
The passing score for the AI-102 exam is 700 (scaled score out of 1000), and the official registration fee is $165 USD (varies by region: £113 GBP, €126 EUR). Retakes are not discounted — every new attempt means paying the full fee again — so it pays to measure yourself before you book. Work through the 425 practice questions on Getcertkey, sit a timed practice test, and schedule your exam only when your scores are consistently comfortable. That simple habit is the cheapest exam strategy there is.
Are there any prerequisites for the AI-102 exam?
No formal prerequisites; recommended: experience with Azure services, AI concepts, and proficiency in Python or C#; AI-900 certification is recommended but not required Requirements can change when Microsoft revises its certification program, so confirm the current eligibility rules on the official exam page before you register.
How do I register for the AI-102 exam?
You can book the Microsoft Designing and Implementing a Microsoft Azure AI Solution exam through the official registration channels below:
As for delivery, the exam is offered in the following format: Online proctored (OnVUE) or onsite at Pearson VUE test centers. Choose the option that suits you best when you book your seat.
What official training is recommended for the AI-102 exam?
Microsoft recommends the following training resources for the Microsoft Designing and Implementing a Microsoft Azure AI Solution exam:
- AI-102T00: Designing and Implementing a Microsoft Azure AI Solution
- Microsoft Learn Learning Paths for AI-102
Official courses build the foundation; the 425 practice questions from Getcertkey then show you how that knowledge is examined, so the two work best together.
Can I try the AI-102 practice questions before I buy?
Yes. Getcertkey provides a free AI-102 PDF demo so you can review the question style and answer quality before purchasing. Every purchase also includes 365 days of free updates — if Microsoft revises the exam during that period, the updated material reaches you at no cost. Once the free-update year ends, you can extend your update service at a 50% discount.
What if I fail the AI-102 exam, and how is my order delivered?
Every Microsoft Designing and Implementing a Microsoft Azure AI Solution purchase on Getcertkey is covered by a 100% money-back guarantee with clear conditions: if you take the corresponding exam within 60 days of your purchase and do not pass, you can claim a full refund by submitting a scanned copy of your exam enrollment slip and your official score report as a PDF within two days of the exam date; claims are processed within seven days of submission. The guarantee does not apply to exams taken within three days of purchase, to material that was downloaded but never used in an exam attempt, or to free products and expired orders, and the candidate name must match the payer name. If you would rather not take a refund, you can instead exchange your purchase for two free exam preparation products of equal value and keep the update service on your original product.
Delivery is instant: your download is sent to your email within one minute of payment, with no limit on how many computers you may install the material on. If nothing arrives within two hours, check your spam folder and contact customer service for help.
What topics are covered in the AI-102 exam?
The Microsoft Designing and Implementing a Microsoft Azure AI Solution exam blueprint is organized into 6 domains. The first three are:
- Implement natural language processing solutions — 15-20% of the exam
- Implement an agentic solution — 5-10% of the exam
- Plan and manage an Azure AI solution — 20-25% of the exam
For the complete domain-by-domain breakdown, scroll up to the full exam topics outline above and use it to plan how you distribute your study time.
Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions:
Question 1
You have a custom model named ModeM in the Azure Translator in Foundry Tools service.
You have training data that contains 900 parallel phrases and sentences and industry-specific terminology.
You need to use the training data to train Model to translate between English and French.
You sign in to the Custom Translator portal.
Which four actions should you perform in sequence from the portal? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Question 2
You are building an agent by using custom question answering in the Azure Language in Foundry Tools service. You upload a product catalog and price list and train the model.
The agent responds correctly when a user asks the following question: " What is the price of Productl? " The agent responds incorrectly when a user asks the following question: " Which colors of Product1 are available? " You need to improve the accuracy of the agent. What should you do?
A. Add a new question and response pair.
B. Modify the system prompt.
C. Add alternative phrasing to the question and response pair.
D. Modify the original documents and retrain the model.
Question 3
You have an Azure Subscription that contains an Azure OpenAI resource named AI1 and a user named User1.
You need to ensure that User1 can add custom data sources to AI1. The solution must follow the principle of least privilege.
Which role should you assign to User1?
A. Search index Data Contributor
B. Cognitive Services Contributor
C. Cognitive Services OpenAI Contributor
D. Search Service Contributor
Question 4
You have a library that contains 1,000 video files.
You need to perform sentiment analysis on the videos by using an Azure Al Content Understanding project.
The solution must minimize development effort.
Which type of template should you use for the project?
A. Media asset management
B. Video shot analysis
C. Advertising
Question 5
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 are building a chatbot that will use question answering in Azure Cognitive Service for Language.
You have a PDF named Doc1.pdf that contains a product catalogue and a price list You upload Doc1.pdf and train the model.
During testing, users report that the chatbot responds correctly to the following question: What is the price of
< product > ?
The chatbot fails to respond to the following question: How much does < product > cost?
You need to ensure that the chatbot responds correctly to both questions.
Solution: From Language Studio, you add alternative phrasing to the question and answer pair, and then retrain and republish the model.
Does this meet the goal?
A. Yes
B. No
Solutions:
| Question 1 Answer: Only visible for members | Question 2 Answer: A | Question 3 Answer: C | Question 4 Answer: A | Question 5 Answer: A |
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