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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement generative AI solutions | 15-20% | - Integrate Azure OpenAI and other generative models - Implement model monitoring and feedback - Deploy and manage generative models - Orchestrate multiple models and containers - Apply prompt engineering and fine-tuning |
| Topic 2: Implement natural language processing solutions | 15-20% | - Perform text analysis, sentiment detection, and language detection - Build conversational AI and chatbots - Implement translation and summarization - Customize and deploy NLP models |
| Topic 3: Implement computer vision solutions | 10-15% | - Analyze images and detect objects/features - Extract text and handwriting from images - Integrate vision capabilities into applications - Process and index video content - Build and deploy custom vision models |
| Topic 4: Implement knowledge mining and information extraction solutions | 15-20% | - Extract entities, relationships, and key phrases - Ingest and process structured/unstructured data - Build knowledge bases and search indexes - Implement intelligent search and retrieval |
| Topic 5: Plan and manage an Azure AI solution | 20-25% | - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Select appropriate Microsoft Foundry Services - Plan solutions aligned with responsible AI principles - Monitor, optimize, and secure AI solutions - Select suitable AI models - Create and configure Azure AI resources |
| Topic 6: Implement an agentic solution | 5-10% | - Build agents with Microsoft Foundry Agent Service - Develop multi-agent workflows and orchestration - Test, deploy, and optimize agents - Understand agent use cases and types |
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NEW QUESTION # 86
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:
Comprehensive Detailed Explanation The scenario:
* You are using Azure Content Moderator to filter chatbot messages.
* You must detect sexually explicit language.
* The question asks: which section of the response provides the category score, and which category number corresponds to sexual content.
Step 1 - Understand Content Moderator response structure
Content Moderator returns several sections:
* Classification # Provides scores for categories of potentially unsafe or inappropriate content.
* PII # Identifies personally identifiable information (phone numbers, email, addresses, etc.).
* Terms # Identifies terms from a custom or built-in blocklist.
Since the requirement is sexually explicit language detection, the correct section is Classification.
Step 2 - Identify the correct Category
Content Moderator's Classification section returns three default categories:
* Category 1: Potentially sexually explicit or adult content.
* Category 2: Potentially sexually suggestive content.
* Category 3: Offensive or derogatory language.
Since the question specifies sexually explicit language, the correct category is 1.
Correct Answer Mapping:
* Section: Classification
* Category: 1
* Content Moderator - Text moderation (classification categories explained)
* Content Moderator overview and response schema
Microsoft References
NEW QUESTION # 87
You have a Custom Vision resource named acvdev in a development environment.
You have a Custom Vision resource named acvprod in a production environment.
In acvdev, you build an object detection model named obj1 in a project named proj1.
You need to move obj1 to acvprod.
Which three 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.
Answer:
Explanation:
Explanation
Text Description automatically generated
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-tutorial-pattern#what-did-this-tutorial-accomp
NEW QUESTION # 88
You are creating an enrichment pipeline that will use Azure Cognitive Search. The knowledge store contains unstructured JSON data and scanned PDF documents that contain text.
Which projection type should you use for each data type? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/search/knowledge-store-projection-overview
NEW QUESTION # 89
You build a Language Understanding model by using the Language Understanding portal.
You export the model as a JSON file as shown in the following sample.
To what does theWeather.Historicentity correspond in the utterance?
Answer: B
NEW QUESTION # 90
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
In relational database systems such as Microsoft SQL Server or Azure SQL Database, the following definitions apply:
Stored Procedure:
A stored procedure is a precompiled block of Transact-SQL (T-SQL) code stored in the database. It can contain control-of-flow statements, queries, and business logic. When executed, it runs as a single unit within the database engine. This matches the definition of " a block of code that runs in a database. " Table:
A table is a structured set of rows and columns used to store data, not a block of executable code.
View:
A view is a virtual table based on the result of a SQL query. It is used for abstraction and simplification of queries, not for executing code blocks.
Index:
An index is a database structure that improves the speed of data retrieval. It is not executable code.
Thus, the only option that correctly describes " a block of code that runs in a database " is a stored procedure.
The Answer: A stored procedure
Microsoft References
Stored Procedures (Database Engine)
Azure SQL Database - Stored procedures overview
SQL Server Views
SQL Server Tables
SQL Server Indexes
NEW QUESTION # 91
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