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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 |
| Topic 2: Implement Natural Language Processing Solutions | 20-25% | - Analyze text using Azure AI Language - Translate text and speech - Build question answering solutions - Implement speech capabilities using Azure AI Speech - Create conversational AI solutions with Azure AI Bot Service |
| Topic 3: Implement Decision Support Solutions | 10-15% | - Design and implement decision automation - Monitor and optimize decision support solutions - Integrate Azure AI services into applications |
| Topic 4: Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Create custom skills for Azure AI Search - Design document processing pipelines - Implement semantic and vector search - Implement Azure AI Search solutions |
| Topic 5: Plan and Manage an Azure AI Solution | 15-20% | - Manage AI costs and resource allocation - Select appropriate Azure AI services and technologies - Plan and configure secure AI solutions - Implement governance and compliance for AI solutions |
| Topic 6: Implement Computer Vision Solutions | 15-20% | - Implement object detection and image classification - Analyze images using Azure AI Vision - Implement Azure AI Face service - Read and process documents using Azure AI Document Intelligence - Process video and generate insights |
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NEW QUESTION # 297
You are building a call handling system that will receive calls from French-speaking and German-speaking callers. The system must perform the following tasks;
* Capture inbound voice messages as text.
* Replay messages in English on demand.
Which Azure Cognitive Services should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
* Speech-to-text converts the caller's spoken French/German audio into text.
* The text must then be translated to English.
* Finally, Text-to-speech converts the translated text into spoken English for playback.
* Therefore, the combination of Translator + Text-to-speech is required for the replay step.
* Speech-to-text in Azure AI Speech
* Azure AI Translator
* Text-to-speech in Azure AI Speech
Final Answer:
* To capture messages # Speech-to-text
* To replay messages # Text-to-speech and Translator
NEW QUESTION # 298
You are developing an app that will use the Azure AI vision API to analyze an image.
You need configure the request that will be used by the app to identity whether an image is clipart or a line drawing.
How should you complete the request? To answer. Select the appropriate options in the answer area.
NOTE: Each correct select is worth one point.
Answer:
Explanation:
Explanation:
HTTP Method: POST
Visual Feature: imageType
Comprehensive Detailed ExplanationThe question requires configuring an Azure AI Vision API request that determines if an image is clipart or a line drawing.
Step 1 - Determine the HTTP MethodThe Analyze Image endpoint (/analyze) of Azure AI Vision expects an HTTP POST request.
* GET is not valid for analysis with an image body.
* PATCH is irrelevant here.
* POST is correct because you are submitting image content or a URL for analysis.
Reference: Azure AI Vision Analyze Image API
Step 2 - Select the correct Visual FeatureThe visualFeatures query parameter determines what the API extracts.
description # Generates natural language description of the image.
tags # Identifies tags related to the image content.
objects # Detects objects and their locations.
imageType # Determines whether the image is a clipart, line drawing, or photo.
Since the requirement is to identify clipart vs line drawing, the correct choice is imageType.
Correct Request Completion:
Method: POST
Visual Feature: imageType
Microsoft ReferencesAnalyze Image (REST API) - Visual Features
Computer Vision API v3.2 Reference
NEW QUESTION # 299
You use the Custom Vision service to build a classifier.
After training is complete, you need to evaluate the classifier.
Which two metrics are available for review? Each correct answer presents a complete solution. (Choose two.) NOTE: Each correct selection is worth one point.
Answer: A,C
Explanation:
The question is about evaluating a Custom Vision classifier after training.
When you train an image classifier in Azure Custom Vision, the service automatically calculates performance metrics to help you evaluate the quality of the model.
* Precision:
* The percentage of correct positive predictions out of all positive predictions made.
* Formula: Precision = TP / (TP + FP)
* Helps determine how reliable positive predictions are.
* Recall:
* The percentage of actual positives that were correctly predicted.
* Formula: Recall = TP / (TP + FN)
* Helps determine how many of the true positives were captured.
Metrics Provided by Custom Vision:These two metrics are explicitly shown in the Custom Vision portal and via API.
* A. Recall
* Yes, Custom Vision reports recall.
* Correct
* B. F-score
* Not directly reported in the Custom Vision portal.
* Although it can be derived from precision and recall, it is not provided as a direct metric.
* Incorrect
* C. Weighted accuracy
* Not reported by Custom Vision.
* Incorrect
* D. Precision
* Yes, Custom Vision reports precision.
* Correct
* E. Area under the curve (AUC)
* Not reported by Custom Vision.
* More common in ROC curve analysis, not part of Custom Vision output.
* Incorrect
Option Analysis
The answer: A. recall, D. precision
* Evaluate the prediction performance of your classifier in Custom Vision
* Custom Vision training and evaluation
NEW QUESTION # 300
You have an Azure Cognitive Search resource named Search 1 that is used by multiple apps You need to secure Search 1. The solution must meet the following requirements:
* Prevent access to Search1 from the internet.
* Limit the access of each app to specific queries
What should you do? To answer, select the appropriate options in the answer area NOTE Each correct answer is worth one point.
Answer:
Explanation:
Explanation
NEW QUESTION # 301
You have an Azure subscription that has the following configurations:
* Subscription ID: 8d3591aa-96b8-4737-ad09-OOf9b1ed35ad
* Tenant ID: 3edfe572-cbS4-3ced-ae12-c5c177f39a12
You plan to create a resource that will perform sentiment analysis and optical character recognition (OCR).
You need to use an HTTP request to create the resource in the subscription. The solution must use a single key and endpoint.
How should you complete the request? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 302
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