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| Section | Weight | Objectives |
|---|---|---|
| Plan and Manage an Azure AI Solution | 15-20% | - Plan and configure secure AI solutions - Implement governance and compliance for AI solutions - Select appropriate Azure AI services and technologies - Manage AI costs and resource allocation |
| Implement Computer Vision Solutions | 15-20% | - Implement object detection and image classification - Process video and generate insights - Implement Azure AI Face service - Read and process documents using Azure AI Document Intelligence - Analyze images using Azure AI Vision |
| Implement Decision Support Solutions | 10-15% | - Monitor and optimize decision support solutions - Design and implement decision automation - Integrate Azure AI services into applications |
| Implement Generative AI Solutions | 10-15% | - Apply responsible AI practices - Integrate Azure OpenAI models into applications - Use Azure OpenAI Service for generative AI - Implement prompt engineering techniques |
| 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% | - Create conversational AI solutions with Azure AI Bot Service - Build question answering solutions - Analyze text using Azure AI Language - Implement speech capabilities using Azure AI Speech - Translate text and speech |
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NEW QUESTION # 217
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You create a web app named app1 that runs on an Azure virtual machine named vm1. Vm1 is on an Azure virtual network named vnet1.
You plan to create a new Azure AI Search service named service1.
You need to ensure that app1 can connect directly to service1 without routing traffic over the public internet.
Solution: You deploy service1 and a private endpoint to vnet1.
Does this meet the goal?
Answer: A
Explanation:
A private endpoint is a network interface that uses a private IP address from your virtual network.
This network interface connects you privately and securely to a service powered by Azure Private Link. By enabling a private endpoint, you're bringing the service into your virtual network.
The service could be an Azure service such as:
* Azure Storage
* Azure Cosmos DB
* Azure SQL Database
Your own service using a Private Link Service.
Reference:
https://docs.microsoft.com/en-us/azure/private-link/private-endpoint-overview
NEW QUESTION # 218
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You develop an application to identify species of flowers by training a Custom Vision model. You receive images of new flower species.
You need to add the new images to the classifier.
Solution: You add the new images, and then use the Smart Labeler tool.
Does this meet the goal?
Answer: A
Explanation:
Scenario Recap:
* Application: Flower species classification using Custom Vision .
* New images are received.
* Solution: Add the new images, and then use the Smart Labeler tool.
Analysis:
* The Smart Labeler tool in Custom Vision can help automatically generate suggested labels for newly uploaded images.
* This is a valid way to extend a classifier with new images.
* It doesn't complete the entire pipeline (you'd still retrain afterward), but using Smart Labeler does meet the goal of adding new species efficiently.
NEW QUESTION # 219
You are examining the Language service 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 Language service API is used 10 analyze the Text?
Answer: B
Explanation:
The given text:
"Our tour guide took us up the Space Needle during our trip to Seattle last week." The Language service output shows:
Text
Category
ConfidenceScore
Tour guide
PersonType
0.45
Space Needle
Location
0.38
Trip
Event
0.78
Seattle
Location
0.78
Last week
DateTime
0.80
* NER identifies named entities (people, places, dates, events, organizations, etc.) in text and classifies them into categories with confidence scores.
* In the table, we see categories such as PersonType, Location, Event, DateTime # these are classic outputs of NER.
* A. Entity Linking # Identifies entities and links them to a knowledge base (like Wikipedia). Output would include links/IDs rather than just categories.
* C. Key Phrase Extraction # Returns important phrases ("tour guide", "Space Needle", "trip", "Seattle",
"last week") but does not assign categories like PersonType, Location, DateTime.
* D. Sentiment Analysis # Returns sentiment scores (positive/neutral/negative), not entity categories.
B). Named Entity Recognition
* Named Entity Recognition in Azure AI Language
* Entity Linking vs Named Entity Recognition
NEW QUESTION # 220
You are developing a monitoring system that will analyze engine sensor data, such as rotation speed, angle, temperature, and pressure. The system must generate an alert in response to atypical values.
What should you include in the solution?
Answer: B
NEW QUESTION # 221
You have an Azure subscription that contains an Azure AI Content Safety resource named CS1.
You plan to build an app that will analyze user-generated documents and identify obscure offensive terms.
You need to create a dictionary that will contain the offensive terms. The solution must minimize development effort.
What should you use?
Answer: C
Explanation:
https://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/use- blocklist?tabs=windows%2Crest
NEW QUESTION # 222
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