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After purchasing the AI-102 exam dumps from Pass4sureCert, you will have access to three formats designed by Pass4sureCert for the preparation of the Microsoft AI-102 exam. These Designing and Implementing a Microsoft Azure AI Solution exam dumps formats will provide actual Microsoft AI-102 PDF Questions to help you prepare for the Microsoft AI-102 exam.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Generative AI Solutions | 10-15% | - Implement prompt engineering techniques - Integrate Azure OpenAI models into applications - Use Azure OpenAI Service for generative AI - Apply responsible AI practices |
| Topic 2: Implement Natural Language Processing Solutions | 20-25% | - Translate text and speech - Analyze text using Azure AI Language - Implement speech capabilities using Azure AI Speech - Create conversational AI solutions with Azure AI Bot Service - Build question answering solutions |
| Topic 3: Plan and Manage an Azure AI Solution | 15-20% | - Select appropriate Azure AI services and technologies - Plan and configure secure AI solutions - Implement governance and compliance for AI solutions - Manage AI costs and resource allocation |
| Topic 4: Implement Computer Vision Solutions | 15-20% | - Analyze images using Azure AI Vision - Implement Azure AI Face service - Implement object detection and image classification - Process video and generate insights - Read and process documents using Azure AI Document Intelligence |
| Topic 5: 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 |
| Topic 6: Implement Decision Support Solutions | 10-15% | - Integrate Azure AI services into applications - Design and implement decision automation - Monitor and optimize decision support solutions |
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NEW QUESTION # 247
You are developing a call to the Face API. The call must find similar faces from an existing list named employeefaces. The employeefaces list contains 60,000 images.
How should you complete the body of the HTTP request? To answer, drag the appropriate values to the correct targets. Each value 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.
Answer:
Explanation:
Explanation:
You are calling the Face API to find similar faces from an existing list called employeefaces.
Key facts from the scenario:
The list contains 60,000 images.
In Face API:
faceListId # limited to 1,000 faces.
largeFaceListId # designed for very large lists, up to 1,000,000 faces.
Since employeefaces has 60,000 images, you must use LargeFaceListId, not faceListId.
Parameters in the Request Body
" faceId " : " 18c51a87-3a69-47a8-aedc-a54745f708a1 "
This is the face to search for.
" largeFaceListId " : " employeefaces "
Must use LargeFaceListId because the list has 60,000 images.
" maxNumOfCandidatesReturned " : 1
Limits the number of matches returned.
" mode " : " matchFace "
Two options exist:
" matchFace " # returns the most similar individual faces.
" matchPerson " # groups faces by person.
Since the requirement is find similar faces, use " matchFace " .
Completed Answer
{
" faceId " : " 18c51a87-3a69-47a8-aedc-a54745f708a1 " ,
" largeFaceListId " : " employeefaces " ,
" maxNumOfCandidatesReturned " : 1 ,
" mode " : " matchFace "
}
Correct Values to Drag and Drop
LargeFaceListId # " employeefaces "
matchFace # " mode "
Final Answer:
First blank: LargeFaceListId
Second blank: matchFace
Microsoft References
Face API - Find Similar
Face API - Large Face List operations
NEW QUESTION # 248
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?
Answer: A
NEW QUESTION # 249
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.
Answer:
Explanation:
Explanation
Text Description automatically generated
Text Description automatically generated
Box 1: name.en
Box 2: "$when": "${stockLevel != 'OK'}"
Product displays must include images and warnings when stock levels are low or out of stock.
Box 3:image.altText.en
NEW QUESTION # 250
You have an Azure subscription.
You are building a chatbot that will use an Azure OpenAI model.
You need to deploy the model.
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.
Answer:
Explanation:
Explanation:
NEW QUESTION # 251
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 upload Doc1.pdf and train that contains a product catalogue and a price list.
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 create an entity for price, and then retrain and republish the model.
Does this meet the goal?
Answer: B
NEW QUESTION # 252
......
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P.S. Free & New AI-102 dumps are available on Google Drive shared by Pass4sureCert: https://drive.google.com/open?id=1jIMQNnffeAUF-apS8grftFPPVRraZQrj