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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Plan and manage an Azure AI solution | 20-25% | - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Plan solutions aligned with responsible AI principles - Monitor, optimize, and secure AI solutions - Create and configure Azure AI resources - Select appropriate Microsoft Foundry Services - Select suitable AI models |
| Topic 2: Implement computer vision solutions | 10-15% | - Build and deploy custom vision models - Integrate vision capabilities into applications - Analyze images and detect objects/features - Process and index video content - Extract text and handwriting from images |
| Topic 3: Implement generative AI solutions | 15-20% | - Apply prompt engineering and fine-tuning - Integrate Azure OpenAI and other generative models - Implement model monitoring and feedback - Orchestrate multiple models and containers - Deploy and manage generative models |
| Topic 4: Implement knowledge mining and information extraction solutions | 15-20% | - Build knowledge bases and search indexes - Extract entities, relationships, and key phrases - Implement intelligent search and retrieval - Ingest and process structured/unstructured data |
| Topic 5: Implement an agentic solution | 5-10% | - Test, deploy, and optimize agents - Build agents with Microsoft Foundry Agent Service - Understand agent use cases and types - Develop multi-agent workflows and orchestration |
| Topic 6: Implement natural language processing solutions | 15-20% | - Customize and deploy NLP models - Build conversational AI and chatbots - Perform text analysis, sentiment detection, and language detection - Implement translation and summarization |
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NEW QUESTION # 219
You are developing a solution for the Management-Bookkeepers group to meet the document processing requirements. The solution must contain the following components:
* A form Recognizer resource
* An Azure web app that hosts the Form Recognizer sample labeling tool
The Management-Bookkeepers group needs to create a custom table extractor by using the sample labeling tool.
Which three actions should the Management-Bookkeepers group perform in sequence? To answer, move the appropriate cmdlets from the list of cmdlets to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Step 1: Create a new project and load sample documents
Create a new project. Projects store your configurations and settings.
Step 2: Label the sample documents
When you create or open a project, the main tag editor window opens.
Step 3: Train a custom model.
Finally, train a custom model.
Reference:
https://docs.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/label-tool
NEW QUESTION # 220
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 Cognitive 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 public endpoint to a new virtual network, and you configure Azure Private Link.
Does this meet the goal?
Answer: A
Explanation:
Scenario Recap
You have a web app app1 running on VM1 in vnet1.
You plan to create an Azure Cognitive Search service (service1).
Goal: Ensure app1 can connect to service1 without routing over the public internet.
Proposed Solution
"You deploy service1 and a public endpoint to a new virtual network, and you configure Azure Private Link." Analysis Azure Cognitive Search and Private Link:
Azure Cognitive Search supports Private Endpoints via Azure Private Link.
When you configure a private endpoint, the service is accessible privately over the virtual network and traffic does not go over the public internet.
You can still keep a public endpoint enabled optionally, but access from your VM can be restricted to the private endpoint.
Key Point: The solution specifies using a public endpoint AND a private link.
This still meets the requirement because Private Link ensures that VM1 in vnet1 communicates with service1 privately.
The existence of the public endpoint does not force traffic to go public - traffic from the private endpoint is routed over the VNet.
Conclusion
Yes, this solution meets the goal because Private Link provides secure, private connectivity to Cognitive Search, avoiding the public internet.
The Answer: A. Yes
Microsoft References
Secure access to Azure Cognitive Search with Private Link
Azure Private Link overview
NEW QUESTION # 221
You are building a chatbot by using the Microsoft Bot Framework Composer.
You have the dialog design shown in the following exhibit.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/composer/concept-language-generation
https://docs.microsoft.com/en-us/azure/data-explorer/kusto/query/coalescefunction
NEW QUESTION # 222
You need to measure the public perception of your brand on social media messages. Which Azure Cognitive Services service should you use?
Answer: B
Explanation:
Explanation
Text Analytics Cognitive Service could be used to quickly determine the public perception for a specific topic, event or brand.
Example: A NodeJS app which pulls Tweets from Twitter using the Twitter API based on a specified search term. Then pass these onto Text Analytics for sentiment scoring before storing the data and building a visualisation in PowerBI. The Architecture looked something like this:
Reference:
https://www.linkedin.com/pulse/measuring-public-perception-azure-cognitive-services-steve-dalai
NEW QUESTION # 223
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
NEW QUESTION # 224
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