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| Section | Weight | Objectives |
|---|---|---|
| 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 |
| Implement generative AI solutions | 15-20% | - Deploy and manage generative models - Implement model monitoring and feedback - Orchestrate multiple models and containers - Integrate Azure OpenAI and other generative models - Apply prompt engineering and fine-tuning |
| Implement knowledge mining and information extraction solutions | 15-20% | - Implement intelligent search and retrieval - Ingest and process structured/unstructured data - Extract entities, relationships, and key phrases - Build knowledge bases and search indexes |
| Implement computer vision solutions | 10-15% | - Analyze images and detect objects/features - Extract text and handwriting from images - Integrate vision capabilities into applications - Build and deploy custom vision models - Process and index video content |
| Plan and manage an Azure AI solution | 20-25% | - Select appropriate Microsoft Foundry Services - Monitor, optimize, and secure AI solutions - Plan solutions aligned with responsible AI principles - Select suitable AI models - Create and configure Azure AI resources - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining |
| Implement an agentic solution | 5-10% | - Develop multi-agent workflows and orchestration - Test, deploy, and optimize agents - Understand agent use cases and types - Build agents with Microsoft Foundry Agent Service |
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NEW QUESTION # 144
You are building a bot on a local computer by using the Microsoft Bot Framework. The bot will use an existing Language Understanding model.
You need to translate the Language Understanding model locally by using the Bot Framework CLI.
What should you do first?
Answer: A
Explanation:
You might want to manage the translation and localization for the language understanding content for your bot independently.
Translate command in the @microsoft/bf-lu library takes advantage of the Microsoft text translation API to automatically machine translate .lu files to one or more than 60+ languages supported by the Microsoft text translation cognitive service.
What is translated?
An .lu file and optionally translate
Comments in the lu file
LU reference link texts
List of .lu files under a specific path.
Reference:
https://github.com/microsoft/botframework-cli/blob/main/packages/luis/docs/translate- command.md
NEW QUESTION # 145
You are building a chatbot.
You need to use the Content Moderator service to identify messages that contain sexually explicit language.
Which section in the response from the service will contain the category score, and which category will be assigned to the message? To answer, select the appropriate options in the answer area, NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 146
You have an Azure subscription that contains an Azure OpenAI resource named AI1 and a user named User1.
You need to ensure that User1 can perform the following actions in Azure OpenAI Studio:
- Identify resource endpoints.
- View models that are available for deployment.
- Generate text and images by using the deployed models.
The solution must follow the principle of least privilege.
Which role should you assign to User1?
Answer: B
Explanation:
The Cognitive Services OpenAI User role provides read-only access to the Azure OpenAI resource, allowing User1 to:
Identify resource endpoints
View available models for deployment
Generate text and images using deployed models
This role follows the principle of least privilege by granting only the permissions needed to view and interact with deployed models, without allowing management or configuration changes.
NEW QUESTION # 147
Your organization wants to create an application that monitor the reviews on your website and notify when any negative review is posted. How can you achieve that?
Answer: A
Explanation:
You can use sentiment analysis to evaluate how positive or negative text is.
NEW QUESTION # 148
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 149
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