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| Section | Weight | Objectives |
|---|---|---|
| Implement Natural Language Processing Solutions | 20-25% | - Build question answering solutions - Create conversational AI solutions with Azure AI Bot Service - Translate text and speech - Implement speech capabilities using Azure AI Speech - Analyze text using Azure AI Language |
| Implement Computer Vision Solutions | 15-20% | - 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 - Analyze images using Azure AI Vision |
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement semantic and vector search - Design document processing pipelines - Implement Azure AI Search solutions - Create custom skills for Azure AI Search |
| Implement Decision Support Solutions | 10-15% | - Design and implement decision automation - Integrate Azure AI services into applications - Monitor and optimize decision support solutions |
| Plan and Manage an Azure AI Solution | 15-20% | - Manage AI costs and resource allocation - Select appropriate Azure AI services and technologies - Implement governance and compliance for AI solutions - Plan and configure secure AI solutions |
| Implement Generative AI Solutions | 10-15% | - Implement prompt engineering techniques - Use Azure OpenAI Service for generative AI - Integrate Azure OpenAI models into applications - Apply responsible AI practices |
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NEW QUESTION # 418
You have an app that uses the AI Language custom question answering service.
You need to ad alternatives for the word testing by using the Authoring API.
How should you complete the JSON payload? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
* In Custom Question Answering (part of Azure AI Language), if you want to define alternative words or spellings for a specific term (e.g., testing , trials , evaluate ), you must use the alterations property.
* Each alteration object contains a list of alternative values for the same meaning.
* Example:
* {
* " alterations " : [
* {
* " alterations " : [
* " testing " ,
* " trials " ,
* " evaluate "
* ]
* }
* ]
* }
* phrases is used for pattern matching in question-answer pairs.
* synonyms is used for synonyms within LUIS (Language Understanding), not for QnA alterations.
* value is used inside synonyms definitions in some contexts but not here.
Correct JSON Payload Completion: The JSON should be:
{
" alterations " : [
{
" alterations " : [
" testing " ,
" trials " ,
" evaluate "
]
}
]
}
Verified Answer:
* Left box: " alterations "
* Right box: " alterations "
Microsoft References:
* Manage alterations in Custom Question Answering (Azure AI Language)
* Authoring API reference for alterations
NEW QUESTION # 419
You are building a model to detect objects in images.
The performance of the model based on training data is shown in the following exhibit.
Answer:
Explanation:
Explanation
NEW QUESTION # 420
You are building a retail chatbot that will use a QnA Maker service.
You upload an internal support document to train the model. The document contains the following question: "What is your warranty period?" Users report that the chatbot returns the default QnA Maker answer when they ask the following question: "How long is the warranty coverage?" The chatbot returns the correct answer when the users ask the following question: 'What is your warranty period?" Both questions should return the same answer.
You need to increase the accuracy of the chatbot responses.
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. (Choose three.)
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/edit-knowledge-base
NEW QUESTION # 421
You have a local folder that contains the files shown in the following table.
You need to analyze the files by using Azure Ai Video Indexer. Which files can you upload to the Video Indexer website?
Answer: D
Explanation:
You have files with the following formats:
* File1: WMV (34 mins, 400 MB)
* File2: AVI (90 mins, 1,200 MB)
* File3: MOV (300 mins, 980 MB)
* File4: MP4 (80 mins, 1,800 MB)
You must determine which files can be uploaded to Azure AI Video Indexer.
* Supported formats: MP4, MOV, WMV, AVI, M2TS.
* Maximum file length: 4 hours (240 minutes).
* Maximum file size: 2 GB (2048 MB) for website uploads.
Key Rules (Video Indexer upload limitations):
* File1 (WMV, 34 min, 400 MB): Supported format, within time and size # # Allowed.
* File2 (AVI, 90 min, 1,200 MB): Supported format, within time and size # # Allowed.
* File3 (MOV, 300 min, 980 MB): Supported format, but exceeds 240 min limit # # Not Allowed.
* File4 (MP4, 80 min, 1,800 MB): Supported format, within size (under 2 GB), within time # # Allowed.
Check each file:
The Answer:
A). File1, File2, and File4 only
Microsoft Reference:
* Video Indexer upload limitations
NEW QUESTION # 422
You have an Azure subscription.
You need to deploy an Azure Al Document Intelligence resource.
How should you complete the Azure Resource Manager (ARM) template? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Azure AI Document Intelligence (formerly Form Recognizer) is provisioned as a Cognitive Services account with the kind set to FormRecognizer . In an ARM template, Document Intelligence is created under the resource provider Microsoft.CognitiveServices with the resource type accounts . Therefore:
type must be " Microsoft.CognitiveServices/accounts "
kind must be " FormRecognizer "
This aligns with Microsoft's ARM schema for Cognitive Services accounts and the documented way to deploy Document Intelligence.
Key references from Microsoft documentation:
Azure Resource Manager template reference for Cognitive Services accounts - shows type: Microsoft.
CognitiveServices/accounts and supported kind values including FormRecognizer .
https://learn.microsoft.com/azure/templates/microsoft.cognitiveservices/accounts Azure AI Document Intelligence (Form Recognizer) resource creation guidance - indicates the service is deployed as a Cognitive Services account with kind FormRecognizer .
https://learn.microsoft.com/azure/ai-services/document-intelligence/overview Create Document Intelligence resources (portal/ARM/Bicep) - reiterates Cognitive Services account with FormRecognizer kind.
https://learn.microsoft.com/azure/ai-services/document-intelligence/create-resources
NEW QUESTION # 423
......
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