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| Section | Weight | Objectives |
|---|---|---|
| Implement Decision Support Solutions | 10-15% | - Design and implement decision automation - Monitor and optimize decision support solutions - Integrate Azure AI services into applications |
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement semantic and vector search - Design document processing pipelines - Create custom skills for Azure AI Search - Implement Azure AI Search solutions |
| Plan and Manage an Azure AI Solution | 15-20% | - Select appropriate Azure AI services and technologies - Implement governance and compliance for AI solutions - Plan and configure secure AI solutions - Manage AI costs and resource allocation |
| Implement Computer Vision Solutions | 15-20% | - Analyze images using Azure AI Vision - Read and process documents using Azure AI Document Intelligence - Implement Azure AI Face service - Process video and generate insights - Implement object detection and image classification |
| Implement Natural Language Processing Solutions | 20-25% | - Implement speech capabilities using Azure AI Speech - Build question answering solutions - Analyze text using Azure AI Language - Translate text and speech - Create conversational AI solutions with Azure AI Bot Service |
| Implement Generative AI Solutions | 10-15% | - Apply responsible AI practices - Implement prompt engineering techniques - Use Azure OpenAI Service for generative AI - Integrate Azure OpenAI models into applications |
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질문 # 35
You have an Azure subscription that contains an Azure Al Search resource named AS1.
You implement a custom skill in AS1 that performs language and sentiment analysis of documents.
You ate evaluating the use of AS1 as part of an enrichment pipeline.
In which order will AS1 index the documents? To answer, move all indexing stages from the list of stages to the answer area and arrange them in the correct order.
정답：
설명：
Explanation:
질문 # 36
You have an Azure subscription.
You need to deploy an Azure AI Search resource that will recognize geographic locations.
Which built-in skill should you include in the skillset for the resource?
정답：A
설명：
The EntityRecognitionSkill in Azure AI Search is a built-in skill designed to identify and recognize specific types of entities within text, including geographic locations (such as cities, countries, and landmarks), as well as other entities like people and organizations. This makes it the appropriate choice for a skillset intended to recognize geographic locations.
질문 # 37
You are building an Azure Cognitive Search custom skill.
You have the following custom skill schema definition.
For each of the following statements, select Yes if the statement. Otherwise, select No.
NOTE: Each correct selection is worth one point.
정답：
설명：
Reference:
https://docs.microsoft.com/en-us/azure/search/cognitive-search-output-field-mapping
질문 # 38
You have 100 chatbots that each has its own Language Understanding model.
Frequently, you must add the same phrases to each model.
You need to programmatically update the Language Understanding models to include the new phrases.
How should you complete the code? 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.
정답：
설명：
Explanation:
Box 1: AddPhraseListAsync
Example: Add phraselist feature
var phraselistId = await client.Features.AddPhraseListAsync(appId, versionId, new PhraselistCreateObject
{
EnabledForAllModels = false,
IsExchangeable = true,
Name = "QuantityPhraselist",
Phrases = "few,more,extra"
});
Box 2: PhraselistCreateObject
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/client-libraries-rest-api
질문 # 39
You have a 20-GB file named file1, avi that is stored on a local drive.
You need to index file1, avi by using the Azure Video indexer website.
What should you do first?
정답：B
설명：
This is because the Azure Video Indexer website allows you to upload videos from a URL or from your file system, but there are some limitations and considerations for each option1.
If you upload from your file system, the size of the file is limited to 2 GB, which is less than the size of file1.avi (20 GB). Therefore, this option is not feasible.
If you upload from a URL, the size of the file is limited to 30 GB, which is enough for file1.avi. However, the URL must be publicly accessible and valid, and the file must be accessible. You cannot use URLs from streaming services such as YouTube1. Therefore, options A and B are not valid.
The best option is to upload file1.avi to a cloud storage service such as Microsoft OneDrive, and then generate a shareable link for the file. You can then paste the link in the Azure Video Indexer website and upload the video from the URL. This way, you can avoid the file size limitation and ensure that the file is accessible and valid2.
질문 # 40
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