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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement Azure AI Search solutions - Implement semantic and vector search - Create custom skills for Azure AI Search - Design document processing pipelines |
| Topic 2: Implement Computer Vision Solutions | 15-20% | - Implement Azure AI Face service - Analyze images using Azure AI Vision - Process video and generate insights - Read and process documents using Azure AI Document Intelligence - Implement object detection and image classification |
| Topic 3: Implement Generative AI Solutions | 10-15% | - Integrate Azure OpenAI models into applications - Apply responsible AI practices - Implement prompt engineering techniques - Use Azure OpenAI Service for generative AI |
| Topic 4: Implement Decision Support Solutions | 10-15% | - Design and implement decision automation - Integrate Azure AI services into applications - Monitor and optimize decision support solutions |
| Topic 5: Implement Natural Language Processing Solutions | 20-25% | - Translate text and speech - Analyze text using Azure AI Language - Create conversational AI solutions with Azure AI Bot Service - Build question answering solutions - Implement speech capabilities using Azure AI Speech |
| Topic 6: 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 |
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NEW QUESTION # 283
You have a video recording of a company meeting that includes presentations by multiple presenters.
You plan to use Azure AI Video Indexer to process the video and generate a separate text file for each presenter's presentation.
You need to identify each presenter in the video and attribute each text file to a presenter.
Which insight should you extract?
Answer: C
NEW QUESTION # 284
You have an Azure subscription that contains an Azure Al Document Intelligence resource named DM.
You create a PDF document named Test.pdf that contains tabular data.
You need to analyze Test.pdf by using DM.
How should you complete the command? To answer, select the appropriate options in the answer area NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Comprehensive Detailed ExplanationYou're analyzing a PDF (Test.pdf) that "contains tabular data." In Azure AI Document Intelligence, the Layout prebuilt model is the right choice when your primary goal is to extract document structure such as tables, lines, words, selection marks, and paragraphs. Microsoft's documentation clearly states that the Layout model "extracts text, tables, selection marks, and document structure," which is exactly what you need for tabular content. Microsoft Learn While the General document (prebuilt-document) model can also return tables, it is intended for broader extraction (including key-value pairs, entities, etc.). For a document whose key requirement is table extraction, Microsoft guidance recommends starting with Layout for structure-first scenarios.
For authentication in the REST call, the correct header to pass your resource key is Ocp-Apim-Subscription- Key. This is explicitly shown in the official REST API reference for the Analyze Document operation under Security (Type: apiKey, In: header). Microsoft Learn Putting it together, the command shape is:
curl -v -i POST "{endpoint}/formrecognizer/documentModels/prebuilt-layout:analyze?api-version=2023-07-
31" \
-H "Content-Type: application/json" \
-H "Ocp-Apim-Subscription-Key: {yourkey}" \
--data-ascii "{\"urlSource\": \"test.pdf\"}"
This uses a single analyze call to the prebuilt-layout model to extract the tables and authenticates with the Ocp-Apim-Subscription-Key header-matching the two selections in the answer area. The model matrix and overview pages also confirm Layout supports tables. Microsoft Learn
* Document layout analysis (Layout model) - capabilities include extracting tables, text, selection marks, and structure. Microsoft Learn
* Choose the best Document Intelligence model - guidance on when to use Layout (structure-first; tables). Microsoft Learn
* General document (prebuilt-document) model - broader extraction including key-value pairs and tables.
Microsoft Learn
* Model overview / matrix - shows Layout supports Tables. Microsoft Learn
* Analyze Document (REST API) - Ocp-Apim-Subscription-Key header for authentication. Microsoft Learn References (Microsoft Documentation)=========================
NEW QUESTION # 285
You have a SQL query that combines customer data and order data. The query includes calculated columns.
You need to create a database object that would allow other users to rerun the same SOL query. What should you create?
Answer: B
NEW QUESTION # 286
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
NEW QUESTION # 287
You have an Azure subscription that contains a multi-service Azure Cognitive Services Translator resource named Translator1.
You are building an app that will translate text and documents by using Translator1.
You need to create the REST API request for the app.
Which headers should you include in the request?
Answer: B
Explanation:
When using Azure Translator REST API, required headers are:
Ocp-Apim-Subscription-Key # subscription key
Ocp-Apim-Subscription-Region # resource region (if using a multi-service Cognitive Services resource) Content-Type # typically application/json or application/xml Other options:
Client trace ID is optional for debugging.
Resource ID, access control request, content language, content length are not required headers.
The Answer: B
Reference: Azure Translator API reference
NEW QUESTION # 288
......
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