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Microsoft AI-102 Exam Syllabus Topics:

SectionWeightObjectives
Implement natural language processing solutions15-20%- Build conversational AI and chatbots
- Implement translation and summarization
- Perform text analysis, sentiment detection, and language detection
- Customize and deploy NLP models
Implement knowledge mining and information extraction solutions15-20%- Build knowledge bases and search indexes
- Ingest and process structured/unstructured data
- Implement intelligent search and retrieval
- Extract entities, relationships, and key phrases
Implement generative AI solutions15-20%- Integrate Azure OpenAI and other generative models
- Orchestrate multiple models and containers
- Deploy and manage generative models
- Apply prompt engineering and fine-tuning
- Implement model monitoring and feedback
Implement an agentic solution5-10%- Understand agent use cases and types
- Build agents with Microsoft Foundry Agent Service
- Develop multi-agent workflows and orchestration
- Test, deploy, and optimize agents
Implement computer vision solutions10-15%- Process and index video content
- Build and deploy custom vision models
- Extract text and handwriting from images
- Integrate vision capabilities into applications
- Analyze images and detect objects/features
Plan and manage an Azure AI solution20-25%- Select suitable AI models
- Create and configure Azure AI resources
- Monitor, optimize, and secure AI solutions
- Select appropriate Microsoft Foundry Services
- Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining
- Plan solutions aligned with responsible AI principles

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Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q57-Q62):

NEW QUESTION # 57
You successfully run the following HTTP request.
POST https://management.azure.com/subscriptions/18c51a87-3a69-47a8-aedc-a54745f708a1/resourceGroups
/RG1/providers/Microsoft.CognitiveServices/accounts/contosol/regenerateKey?api-version=2017-04-18 Body{"keyName": "Key2"} What is the result of the request?

Answer: A

Explanation:
https://docs.microsoft.com/en-us/rest/api/searchmanagement/2021-04-01-preview/query-keys/create


NEW QUESTION # 58
You are buikJing an app named Appl that will use Azure Document Intelligence in Foundry Tools to extract the following data from scanned documents:
* Shipping address
* Billing address
* Customer ID
* Amount due
* Due date
* Total tax
* Subtotal
You need to identify which model to use for App1. The solution must minimize development effort. Which model should you use?

Answer: A


NEW QUESTION # 59
You are developing the knowledgebase by using Azure Cognitive Search.
You need to build a skill that will be used by indexers.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: " categories " : [ " Locations " , " Persons " , " Organizations " ], Locations, Persons, Organizations are in the outputs.
Scenario: Contoso plans to develop a searchable knowledgebase of all the intellectual property Note: The categories parameter is an array of categories that should be extracted. Possible category types: " Person " , " Location " , " Organization " , " Quantity " , " Datetime " , " URL " , " Email " . If no category is provided, all types are returned.
Box 2: { " name " : " entities " }
The include wikis, so should include entities in the outputs.
Note: entities is an array of complex types that contains rich information about the entities extracted from text, with the following fields name (the actual entity name. This represents a " normalized " form) wikipediaId wikipediaLanguage wikipediaUrl (a link to Wikipedia page for the entity) etc.
Reference:
https://docs.microsoft.com/en-us/azure/search/cognitive-search-skill-entity-recognition
Topic 3, Misc. Questions


NEW QUESTION # 60
You plan to build a chatbot to support task tracking.
You create a Conversational Language Understanding service named Iu1.
You need to build a Conversational Language Understanding model to Integrate into the chatbot. The solution must minimize development time to build the model.
Which four 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


NEW QUESTION # 61
You develop an application that uses the Face API.
You need to add multiple images to a person group.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation
Box 1: Stream
The File.OpenRead(String) method opens an existing file for reading.
Example: Open the stream and read it back.
using (FileStream fs = File.OpenRead(path))
Box 2: AddFaceFromStreamAsync
Step 5 on
https://docs.microsoft.com/en-us/azure/cognitive-services/face/face-api-how-to-topics/how-to-add-faces


NEW QUESTION # 62
......

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