AI-102 exam dumps

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  • Exam Code: AI-102
  • Exam Name: Designing and Implementing a Microsoft Azure AI Solution
  • No. of Questions: 425 Questions and Answers
  • Updated: Nov 12, 2026

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Experts analyze the exam outline and notice every little change. The Microsoft Designing and Implementing a Microsoft Azure AI Solution study vce at PrepAwayTest follows the syllabus: 425 practice questions for the AI-102 exam in 2026.

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
Exam Duration:120 minutes
Real Exam Qty:40-60
Related Certifications:Microsoft Certified: Azure AI Engineer Associate
Available Languages:Japanese, English, Chinese (Simplified), Korean
Passing Score:700 (on a scale of 1-1000)
Exam Format:Drag-and-drop, Multiple-choice, Active screen questions, Case studies
Certificate Validity Period:No expiration; certification remains valid unless Microsoft deprecates it
Sample Questions: DOWNLOAD DEMO
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:

SectionWeightObjectives
Implement Generative AI Solutions10-15%- Use Azure OpenAI Service for generative AI
- Integrate Azure OpenAI models into applications
- Implement prompt engineering techniques
- Apply responsible AI practices
Implement Knowledge Mining and Document Intelligence Solutions15-20%- Design document processing pipelines
- Implement Azure AI Search solutions
- Create custom skills for Azure AI Search
- Implement semantic and vector search
Plan and Manage an Azure AI Solution15-20%- Plan and configure secure AI solutions
- Manage AI costs and resource allocation
- Select appropriate Azure AI services and technologies
- Implement governance and compliance for AI solutions
Implement Computer Vision Solutions15-20%- Implement Azure AI Face service
- Implement object detection and image classification
- Analyze images using Azure AI Vision
- Process video and generate insights
- Read and process documents using Azure AI Document Intelligence
Implement Natural Language Processing Solutions20-25%- Build question answering solutions
- Translate text and speech
- Implement speech capabilities using Azure AI Speech
- Analyze text using Azure AI Language
- Create conversational AI solutions with Azure AI Bot Service
Implement Decision Support Solutions10-15%- Integrate Azure AI services into applications
- Monitor and optimize decision support solutions
- Design and implement decision automation

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Upon successful payment, our system emails the Microsoft Designing and Implementing a Microsoft Azure AI Solution study material automatically within about a minute, with 24/7 patient help if nothing arrives within 2 hours. If you fail the corresponding AI-102 exam within 60 days of purchase, we refund the full amount: send a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam, processed within 7 days. Excluded: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. Or exchange for two equal-value products free.

The Microsoft Designing and Implementing a Microsoft Azure AI Solution blueprint spans 6 domains — including Implement Computer Vision Solutions (15-20%), Implement Generative AI Solutions (10-15%), Implement Decision Support Solutions (10-15%). Our experts analyze this outline and notice every little change; the complete outline above lists every subtopic.

The Microsoft Designing and Implementing a Microsoft Azure AI Solution is Microsoft's certification exam for Azure AI Engineer Associate, at the Associate level. One useful certificate can exert real influence on your future. Related credentials include Microsoft Certified: Azure AI Engineer Associate.

$165 USD per attempt, 700 (on a scale of 1-1000) to pass. Retakes cost the full fee — practice regularly with the 425 practice questions for the AI-102 exam at PrepAwayTest before you book.

120 minutes for 40-60 questions. Regular timed practice in the PrepAwayTest engine makes the format familiar long before exam day.

Recommended: Understanding of Azure services, REST APIs, C#, Python, or JavaScript. No mandatory prerequisites, but Azure Administrator or Developer background is beneficial. Eligibility rules change over time, so verify the current requirements on the official page (official AI-102 exam page) before registering.

Yes — under each kind of Microsoft Designing and Implementing a Microsoft Azure AI Solution practice test we offer one free demo, including a real part of the content; look through it thoroughly before ordering. Purchases include 365 days of free updates by email; renew afterward at 50% off.

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

You plan to use Microsoft Foundry to implement a Retrieval Augmented Generation (RAG) pattern.
You have grounding data stored in an Azure Files share.
You need to configure a Microsoft Foundry project to ensure that a model can use the grounding data.
Which actions should you perform in sequence? To answer, drag the appropriate actions to the correct order.
Each action may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:
Step 1: Create a project. (Given)
Step 2: Add a data connection.
Step 3: Add a deployment.
Explanation:
Add a data connection: Before the model can " see " your grounding data stored in an Azure Files share, you must establish a connection. This step allows the project to securely access and index the external data source so it can be used for retrieval.
Add a deployment: In Microsoft Foundry, you don ' t just " add a model " in a vacuum; you must deploy a specific model (such as a GPT-4 chat model or an embedding model) to make it active and available to interact with your data and respond to queries.

You are building a solution that will detect anomalies in sensor data from the previous 24 hours.
You need to ensure that the solution scans the entire dataset, at the same time, for anomalies.
Which type of detection should you use?

  • A. batch
  • B. streaming
  • C. change point
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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

You are building a social media messaging app. You need to identify in real time the language used in messages. Which service should you use?

  • A. Content Safety in Foundry Control Plane
  • B. Azure Speech in Foundry Tools
  • C. Azure Language in Foundry Tools
  • D. Azure Translator in Foundry Tools
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

You have a library that contains thousands of images.
You need to tag the images as photographs, drawings, or clipart.
Which service endpoint and response property should you use? 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:
Service endpoint # Computer Vision analyze images
Property # imageType
The task:
" You have a library with thousands of images. You need to tag the images as photographs, drawings, or clipart. " Which service endpoint?
Computer Vision analyze images # Provides a broad analysis including categories, tags, descriptions, and image type (photo, drawing, clipart). # Computer Vision object detection # Identifies objects (people, cars, animals), not image type.
Custom Vision image classification / object detection # Requires custom training, not needed since the built- in Computer Vision service already supports this.
Correct: Computer Vision analyze images
Which property?
categories # Provides predefined categories (e.g., outdoor, indoor, people), not specifically drawing/clipart/photo.
description # Generates captions in natural language, not classification into photo/drawing/clipart.
imageType # Identifies if an image is a photograph, line drawing, or clipart. # metadata # Provides size, format, dimensions.
objects # Lists detected objects, not image type.
Correct: imageType
The answer:
Service endpoint # Computer Vision analyze images
Property # imageType
Microsoft References
Computer Vision Analyze API
ImageType property in Computer Vision

You are designing a conversation flow to be used in a chatbot.
You need to test the conversation flow by using the Microsoft Bot Framework Emulator.
How should you complete the .chat file? 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:

Comprehensive Detailed Explanation along with All References available from Microsoft Azure AI Solution at the end of the explanation Typing: In a .chat transcript, you can simulate the bot's typing indicator with the Typing activity, optionally followed by a [Delay=...] . This matches the intent to pause before sending the next message.
AttachmentLayout=carousel: When sending multiple attachments (the two watch images), set the layout to carousel so the Emulator displays the attachments horizontally as a card carousel.
Adaptive Card attachment: The JSON file cards\watchProfileCard.json represents an Adaptive Card; specify adaptivecard so the Emulator renders the card.
Resulting .chat snippet (essentials):
user =User1
bot=watchbot
user : I want a new watch.
bot: [Typing][Delay= 3000 ]
bot: I can help you with that! Let me see what I can find.
bot: Her e ' s what I found.
bot:
[AttachmentLayout=carousel]
[Attachment=https://contoso.blob.core.windows.net/watch01.jpg]
[Attachment=https://contoso.blob.core.windows.net/watch02.jpg]
user: I like the first one.
bot: Sure, pulling up more information.
bot: [Attachment=cards\watchProfileCard.json adaptivecard]
user: That ' s nice! Thank you.
bot: Sure, you are most welcome!
References
Bot Framework Emulator transcript ( .chat ) activities and typing indicator: Bot Framework Activity schema; Emulator supports typing and delay in transcripts.
https://learn.microsoft.com/azure/bot-service/bot-service-debug-emulator
https://learn.microsoft.com/azure/bot-service/rest-api/bot-framework-rest-connector-api-reference#activity-object Attachment layout ( carousel / list ) for multiple attachments:
https://learn.microsoft.com/azure/bot-service/nodejs/bot-builder-nodejs-send-rich-cards#carousel-layout Adaptive Cards in Bot Framework:
https://learn.microsoft.com/adaptive-cards/get-started/bots
https://learn.microsoft.com/azure/bot-service/bot-builder-howto-add-media-attachments#adaptive-cards

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