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| Section | Weight | Objectives |
|---|---|---|
| Implement Computer Vision Solutions | 15-20% | - Process video and generate insights - Implement object detection and image classification - Read and process documents using Azure AI Document Intelligence - Analyze images using Azure AI Vision - Implement Azure AI Face service |
| Plan and Manage an Azure AI Solution | 15-20% | - Manage AI costs and resource allocation - Implement governance and compliance for AI solutions - Plan and configure secure AI solutions - Select appropriate Azure AI services and technologies |
| Implement Decision Support Solutions | 10-15% | - Integrate Azure AI services into applications - Design and implement decision automation - Monitor and optimize decision support solutions |
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Create custom skills for Azure AI Search - Design document processing pipelines - Implement Azure AI Search solutions - Implement semantic and vector search |
| Implement Natural Language Processing Solutions | 20-25% | - Translate text and speech - Build question answering solutions - Analyze text using Azure AI Language - Create conversational AI solutions with Azure AI Bot Service - Implement speech capabilities using Azure AI Speech |
| Implement Generative AI Solutions | 10-15% | - Implement prompt engineering techniques - Apply responsible AI practices - Use Azure OpenAI Service for generative AI - Integrate Azure OpenAI models into applications |
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NEW QUESTION # 405
You are examining the Text Analytics output of an application.
The text analyzed is: "Our tour guide took us up the Space Needle during our trip to Seattle last week." The response contains the data shown in the following table.
Which Text Analytics API is used to analyze the text?
Answer: B
Explanation:
https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/named-entity-recognition/overview Named Entity Recognition (NER) is one of the features offered by Azure Cognitive Service for Language, a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. The NER feature can identify and categorize entities in unstructured text. For example: people, places, organizations, and quantities.
NEW QUESTION # 406
Hotspot Question
You are building a message handling system that will use the Azure AI Translator service.
You need to ensure that incoming messages are translated to English.
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:
Box 1: TextTranslationClient
Example C#:
using Azure;
using Azure.AI.Translation.Text;
string key = "<your-key>";
AzureKeyCredential credential = new(key);
TextTranslationClient client = new(credential);
Box 2: client.TranslateAsync(
Example continued:
Response<IReadOnlyList<TranslatedTextItem>> response = await
client.TranslateAsync(targetLanguage, inputText).ConfigureAwait(false); Reference:
https://learn.microsoft.com/en-us/azure/ai-services/translator/quickstart-text-sdk
NEW QUESTION # 407
You are planning the product creation project.
You need to recommend a process for analyzing videos.
Which four 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 four.)
Answer:
Explanation:
Explanation
Explanation:
Scenario: All videos must have transcripts that are associated to the video and included in product descriptions.
Product descriptions, transcripts, and all text must be available in English, Spanish, and Portuguese.
Step 1: Upload the video to blob storage
Given a video or audio file, the file is first dropped into a Blob Storage. T Step 2: Index the video by using the Video Indexer API.
When a video is indexed, Video Indexer produces the JSON content that contains details of the specified video insights. The insights include: transcripts, OCRs, faces, topics, blocks, etc.
Step 3: Extract the transcript from the Video Indexer API.
Step 4: Translate the transcript by using the Translator API.
Reference:
https://azure.microsoft.com/en-us/blog/get-video-insights-in-even-more-languages/
https://docs.microsoft.com/en-us/azure/media-services/video-indexer/video-indexer-output-json-v2
NEW QUESTION # 408
Hotspot Question
You have an Azure subscription that contains an Azure AI Content Safety resource.
You are building a social media messaging app.
You need to build a solution that will analyze messages and flag messages that contain explicit content.
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:
Box 1: AnalyzeTextOptions
Analyze text content (C#)
Get started with the Content Safety Studio, REST API, or client SDKs to do basic text moderation. The Azure AI Content Safety service provides you with AI algorithms for flagging objectionable content.
Box 2: client.AnalyzeText(request)
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/content-safety/quickstart-text
NEW QUESTION # 409
For each of the following statements, select Yes if the statement is tine. Otherwise, select No. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 410
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