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Nobody wants to waste time. The Microsoft Designing and Implementing a Microsoft Azure AI Solution VCE dumps at Exams4sures are designed for the highest efficiency — 425 practice questions for the AI-102 exam that respect your schedule.
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 (varies by region: £113 GBP, €126 EUR) |
| Related Certifications: | Microsoft Certified: Azure Data Scientist Associate Microsoft Certified: Azure AI Fundamentals (AI-900) Microsoft Certified: Azure Developer Associate |
| Available Languages: | Italian, German, Chinese (Simplified), Portuguese (Brazil), Spanish, French, Korean, Japanese, Arabic (Saudi Arabia), Indonesian, English |
| Real Exam Qty: | 40-60 |
| Passing Score: | 700 (scaled score out of 1000) |
| Certificate Validity Period: | 1 year (renewable via free online assessment) |
| Exam Format: | Case studies, Multiple select, Multiple choice, Hot area, Drag-and-drop, Performance-based scenarios |
| Exam Duration: | 100 minutes |
| 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: | DOWNLOAD DEMO |
| 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 |
|---|---|---|
| Topic 1: 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 |
| Topic 2: Plan and manage an Azure AI solution | 20-25% | - Select appropriate Microsoft Foundry Services - Monitor, optimize, and secure AI solutions - Plan solutions aligned with responsible AI principles - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Create and configure Azure AI resources - Select suitable AI models |
| Topic 3: Implement knowledge mining and information extraction solutions | 15-20% | - Extract entities, relationships, and key phrases - Ingest and process structured/unstructured data - Implement intelligent search and retrieval - Build knowledge bases and search indexes |
| Topic 4: Implement generative AI solutions | 15-20% | - Implement model monitoring and feedback - Deploy and manage generative models - Apply prompt engineering and fine-tuning - Orchestrate multiple models and containers - Integrate Azure OpenAI and other generative models |
| Topic 5: Implement natural language processing solutions | 15-20% | - Perform text analysis, sentiment detection, and language detection - Implement translation and summarization - Customize and deploy NLP models - Build conversational AI and chatbots |
| Topic 6: Implement computer vision solutions | 10-15% | - Integrate vision capabilities into applications - Build and deploy custom vision models - Extract text and handwriting from images - Analyze images and detect objects/features - Process and index video content |
AI-102 Exam FAQ — Seize the Chance
$165 USD (varies by region: £113 GBP, €126 EUR) per attempt, 700 (scaled score out of 1000) to pass. A failed retake costs the full fee again — prepare efficiently with the 425 practice questions for the AI-102 exam at Exams4sures.
The Microsoft Designing and Implementing a Microsoft Azure AI Solution is Microsoft's certification exam for Microsoft Certified: Azure AI Engineer Associate, at the Associate level. Certification is how workers face new challenges and seize promotion chances. Related credentials include Microsoft Certified: Azure AI Fundamentals (AI-900), Microsoft Certified: Azure Data Scientist Associate, Microsoft Certified: Azure Developer Associate.
Yes — new customers get a free Microsoft Designing and Implementing a Microsoft Azure AI Solution demo, and regular customers enjoy constant promotions and membership discounts. Purchases include 365 days of free updates by email; renew afterward at 50% off.
The Microsoft Designing and Implementing a Microsoft Azure AI Solution blueprint spans 6 domains — including Implement computer vision solutions (10-15%), Implement knowledge mining and information extraction solutions (15-20%), Implement natural language processing solutions (15-20%). Concentrate effort where the weight sits; the complete outline above lists every subtopic.
Through the vendor's official registration channels:
The Microsoft Designing and Implementing a Microsoft Azure AI Solution is delivered Online proctored (OnVUE) or onsite at Pearson VUE test centers — pick the arrangement that suits you when booking.
No formal prerequisites; recommended: experience with Azure services, AI concepts, and proficiency in Python or C#; AI-900 certification is recommended but not required Eligibility rules change over time, so verify the current requirements on the official page (official AI-102 exam page) before registering.
100 minutes for 40-60 questions. Efficient preparation — steady timed practice with the Exams4sures engine — makes the real clock feel generous.
Upon successful payment, our system emails the Microsoft Designing and Implementing a Microsoft Azure AI Solution material to your mailbox automatically within about a minute — every transaction is secure, and strict private policies protect your information. If nothing arrives within 2 hours, check spam and contact our 24/7 service center. If you fail the corresponding AI-102 exam within 60 days of purchase, we refund in full: 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.
Yes:
- AI-102T00: Designing and Implementing a Microsoft Azure AI Solution
- Microsoft Learn Learning Paths for AI-102
After any course, keep the efficiency going with the 425 practice questions for the Microsoft Designing and Implementing a Microsoft Azure AI Solution — every answer expert-verified.
Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions:
You use the Custom Vision service to build a classifier.
After training is complete, you need to evaluate the classifier.
Which two metrics are available for review? Each correct answer presents a complete solution. (Choose two.) NOTE: Each correct selection is worth one point.
- A. F-score
- B. precision
- C. weighted accuracy
- D. area under the curve (AUC)
- E. recall
Correct Answer: B,E 🗳️
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You plan to deploy a containerized version of an Azure Cognitive Services service that will be used for text analysis.
You configure https://contoso.cognitiveservices.azure.com as the endpoint URI for the service, and you pull the latest version of the Text Analytics Sentiment Analysis container.
You need to run the container on an Azure virtual machine by using Docker.
How should you complete the command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:

Explanation:
Box 1: mcr.microsoft.com/azure-cognitive-services/textanalytics/sentiment To run the Sentiment Analysis v3 container, execute the following docker run command.
docker run --rm -it -p 5000:5000 --memory 8g --cpus 1 \
mcr.microsoft.com/azure-cognitive-services/textanalytics/sentiment \
Eula=accept \
Billing={ENDPOINT_URI} \
ApiKey={API_KEY} is the endpoint for accessing the Text Analytics API. https:// < your-custom-subdomain
> .cognitiveservices.azure.com
Box 2: https://contoso.cognitiveservices.azure.com
{ENDPOINT_URI} is the endpoint for accessing the Text Analytics API: https:// < your-custom-subdomain
> .cognitiveservices.a The endpoint for accessing the Text Analytics API. zure.com Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-install-containers?tabs=sentiment
You are building a chatbot by using the Microsoft Bot Framework SDK.
You use an object named UserProfile to store user profile information and an object named ConversationData to store information related to a conversation.
You create the following state accessors to store both objects in state.
var userStateAccessors = _userState.CreateProperty < UserProfile > (nameof(UserProfile)); var conversationStateAccessors = _conversationState.CreateProperty < ConversationData > (nameof (ConversationData)); The state storage mechanism is set to Memory Storage.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Correct Answer:

Explanation:
Box 1: Yes
You create property accessors using the CreateProperty method that provides a handle to the BotState object.
Each state property accessor allows you to get or set the value of the associated state property.
Box 2: Yes
Box 3: No
Before you exit the turn handler, you use the state management objects ' SaveChangesAsync() method to write all state changes back to storage.
Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-howto-v4-state
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 create a web app named app1 that runs on an Azure virtual machine named vm1. Vm1 is on an Azure virtual network named vnet1.
You plan to create a new Azure Cognitive Search service named service1.
You need to ensure that app1 can connect directly to service1 without routing traffic over the public internet.
Solution: You deploy service1 and a public endpoint to a new virtual network, and you configure Azure Private Link.
Does this meet the goal?
- A. Yes
- B. No
Correct Answer: A 🗳️
Explanation: Only visible for Exams4sures members. You can sign-up / login (it's free).
You are developing the smart e-commerce project.
You need to implement autocompletion as part of the Cognitive Search solution.
Which three actions should you perform? Each correct answer presents part of the solution. (Choose three.) NOTE: Each correct selection is worth one point.
- A. Set the searchAnalyzer property for the three product name variants.
- B. Set the analyzer property for the three product name variants.
- C. Add a suggester for each of the three product name fields.
- D. Make API queries to the autocomplete endpoint and include suggesterName in the body.
- E. Make API queries to the search endpoint and include the product name fields in the searchFields query parameter.
- F. Add a suggester that has the three product name fields as source fields.
Correct Answer: B,D,F 🗳️
Explanation: Only visible for Exams4sures members. You can sign-up / login (it's free).
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