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Microsoft AI-102 Exam
- Topic 1: Select the appropriate cognitive service for a language analysis solution/ Secure Cognitive Services by using Azure Virtual Network
- Topic 2: Configure diagnostic logging for a Cognitive Services resource/ Deploy Cognitive Services containers in Microsoft Azure
- Topic 3: Plan for a solution that meets responsible AI principles/ Select the appropriate cognitive service for a speech solution
- Topic 4: Plan and manage an Azure Cognitive Services solution/ Plan and implement Cognitive Services containers
- Topic 5: Analyze images by using the Computer Vision API/ Implement an object detection solution by using the Custom Vision service
- Topic 6: Analyze video by using Azure Video Analyzer for Media (formerly Video Indexer)/ Extract facial information from images
- Topic 7: Implement image classification by using the Custom Vision service/ Implement Computer Vision solutions
- Topic 8: Build an initial language model by using language understanding/ Analyze text by using the Language service
- Topic 9: Create a Questions Answering solution using the Language service/ Implement natural language processing solutions
- Topic 10: Iterate on and optimize a language model by using language understanding/ Manage a language understanding model
- Topic 11: Implement an AI enrichment pipeline/ Implement knowledge mining solutions/ Manage a Cognitive Search solution
- Topic 12: Integrate Cognitive Services into a bot/ Implement conversational AI solutions
- Topic 13: Create a bot by using the Bot Framework Composer/ Create a bot by using the Bot Framework SDK
Free Microsoft AI-102 Exam Actual Questions
The questions for AI-102 were last updated On Mar. 24, 2023
You are building a chatbot that will use question answering in Azure Cognitive Service for Language.
You have a PDF named Docl.pdf that contains a product catalogue and a price list
You upload Docl.pdf and train the model.
During testing, users report that the chatbot responds correctly to the following question: What is the price of < product>?
The chatbot fails to respond to the following question: How much does You need to ensure that the chatbot responds correctly to both questions. Solution: From Language Studio, you create an entity for cost, and then retrain and republish the model. Does this meet the goal?
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?
You are building a chatbot that will use question answering in Azure Cognitive Service for Language.
You have a PDF named Docl.pdf that contains a product catalogue and a price list
You upload Docl.pdf and train the model.
During testing, users report that the chatbot responds correctly to the following question: What is the price of < product>?
The chatbot fails to respond to the following question: How much does You need to ensure that the chatbot responds correctly to both questions. Solution: From Language Studio, you create an entity for cost, and then retrain and republish the model. Does this meet the goal?
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