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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Plan and Manage an Azure AI Solution | 15-20% | - Implement governance and compliance for AI solutions - Plan and configure secure AI solutions - Manage AI costs and resource allocation - Select appropriate Azure AI services and technologies |
| Topic 2: Implement Decision Support Solutions | 10-15% | - Monitor and optimize decision support solutions - Design and implement decision automation - Integrate Azure AI services into applications |
| Topic 3: Implement Generative AI Solutions | 10-15% | - Implement prompt engineering techniques - Apply responsible AI practices - Use Azure OpenAI Service for generative AI - Integrate Azure OpenAI models into applications |
| Topic 4: Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Design document processing pipelines - Create custom skills for Azure AI Search - Implement Azure AI Search solutions - Implement semantic and vector search |
| Topic 5: Implement Natural Language Processing Solutions | 20-25% | - Translate text and speech - Analyze text using Azure AI Language - Build question answering solutions - Implement speech capabilities using Azure AI Speech - Create conversational AI solutions with Azure AI Bot Service |
| Topic 6: Implement Computer Vision Solutions | 15-20% | - Implement object detection and image classification - Analyze images using Azure AI Vision - Process video and generate insights - Read and process documents using Azure AI Document Intelligence - Implement Azure AI Face service |
>> Latest AI-102 Exam Question <<
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NEW QUESTION # 260
You have an Azure subscription that contains an Azure OpenAI resource.
You deploy the GPT-4 model to the resource.
You need to ensure that you can upload files that will be used as grounding data for the model.
Which two types of resources should you create? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,C
Explanation:
Analysis:
* Azure AI Bot Service (A): Helps build chatbots but does not store grounding data # #
* Azure SQL (B): Possible storage, but not recommended for vector search grounding # #
* Azure AI Document Intelligence (C): Extracts structured info, not used directly for grounding # #
* Azure Blob Storage (D): Required for storing raw files used in retrieval-augmented generation (RAG)
# #
* Azure AI Search (E): Used to index, vectorize, and query data for grounding # # The answer:
D). Azure Blob Storage and E. Azure AI Search
Reference:
Grounding with Azure OpenAI and Azure AI Search
NEW QUESTION # 261
You have a Computer Vision resource named contoso1 that is hosted in the West US Azure region.
You need to use contoso1 to make a different size of a product photo by using the smart cropping feature.
How should you complete the API URL? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
* You have a Computer Vision resource named contoso1 in West US region.
* You must use this resource to resize an image using smart cropping.
Let's analyze the key points:
* Endpoint
* Each Azure AI service resource has a regional endpoint.
* Since the resource name is contoso1 and is deployed in West US, the correct endpoint will be:
* https://contoso1.cognitiveservices.azure.com
* The older projectoxford.ai and generic westus.api.cognitive.microsoft.com are legacy endpoints and are not recommended.
* Therefore, the correct choice is https://contoso1.cognitiveservices.azure.com.
* API Method
* The task is to generate a different size of a product photo with smart cropping.
* This is done using the Generate Thumbnail API in Computer Vision.
* The path for this is:
* /vision/v3.1/generateThumbnail
* Other options like detect (for object detection) or areaOfInterest (for finding regions of interest) do not generate thumbnails.
The answer:
* Endpoint: https://contoso1.cognitiveservices.azure.com
* API: /vision/v3.1/generateThumbnail
* Computer Vision API reference - Generate Thumbnail
* Computer Vision REST API documentation
* Azure AI services endpoints
NEW QUESTION # 262
You need to measure the public perception of your brand on social media messages. Which Azure Cognitive Services service should you use?
Answer: A
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 # 263
You have an Azure subscription that contains an Azure Al Content Safety resource.
You are building a social media app that will enable users to share images.
You need to configure the app to moderate inappropriate content uploaded by the users.
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:
NEW QUESTION # 264
You are building a chatbot by using Microsoft Bot Framework Composer.
You need to configure the chatbot to present a list of available options. The solution must ensure that an image is provided for each option.
Which two features should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: B,D
NEW QUESTION # 265
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