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Microsoft AI-102 Exam Syllabus Topics:

SectionWeightObjectives
Implement Natural Language Processing Solutions20-25%- Build question answering solutions
- Create conversational AI solutions with Azure AI Bot Service
- Analyze text using Azure AI Language
- Implement speech capabilities using Azure AI Speech
- Translate text and speech
Implement Decision Support Solutions10-15%- Monitor and optimize decision support solutions
- Integrate Azure AI services into applications
- Design and implement decision automation
Plan and Manage an Azure AI Solution15-20%- Select appropriate Azure AI services and technologies
- Implement governance and compliance for AI solutions
- Plan and configure secure AI solutions
- Manage AI costs and resource allocation
Implement Computer Vision Solutions15-20%- Read and process documents using Azure AI Document Intelligence
- Implement Azure AI Face service
- Process video and generate insights
- Analyze images using Azure AI Vision
- Implement object detection and image classification
Implement Generative AI Solutions10-15%- Integrate Azure OpenAI models into applications
- Use Azure OpenAI Service for generative AI
- Implement prompt engineering techniques
- Apply responsible AI practices
Implement Knowledge Mining and Document Intelligence Solutions15-20%- Design document processing pipelines
- Implement semantic and vector search
- Implement Azure AI Search solutions
- Create custom skills for Azure AI Search

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Valid AI-102 Exam Prep, AI-102 Test Lab Questions

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Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q79-Q84):

NEW QUESTION # 79
You are building a social media extension that will convert text to speech. The solution must meet the following requirements:
* Support messages of up to 400 characters.
* Provide users with multiple voice options.
* Minimize costs.
You create an Azure Cognitive Services resource.
Which Speech API endpoint provides users with the available voice options?

Answer: B


NEW QUESTION # 80
You are examining the Text Analytics 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 Text Analytics API is used to analyze the text?

Answer: C

Explanation:
https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/named-entity-recognition/overview Named Entity Recognition (NER) is one of the features offered by Azure Cognitive Service for Language, a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. The NER feature can identify and categorize entities in unstructured text. For example: people, places, organizations, and quantities.


NEW QUESTION # 81
You are designing a conversation flow to be used in a chatbot.
You need to test the conversation flow by using the Microsoft Bot Framework Emulator.
How should you complete the .chat file? 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/bot-service/bot-builder-howto-add-media-attachments?view=azure-bot-service-4.0&tabs=csharp


NEW QUESTION # 82
You are building a language learning solution.
You need to recommend which Azure services can be used to perform the following tasks:
* Analyze lesson plans submitted by teachers and extract key fields, such as lesson times and required texts.
* Analyze learning content and provide students with pictures that represent commonly used words or phrases in the text The solution must minimize development effort.
Which Azure service should you recommend for each task? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 83
You are building an app that will enable users to upload images. The solution must meet the following requirements:
* Automatically suggest alt text for the images.
* Detect inappropriate images and block them.
* Minimize development effort.
You need to recommend a computer vision endpoint for each requirement.
What should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 84
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