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Microsoft AI-102 is a certification exam designed for professionals who want to showcase their skills in designing and implementing Microsoft Azure AI solutions. AI-102 exam evaluates the candidate's proficiency in designing AI solutions using Azure Cognitive Services, Azure Machine Learning, and other Azure AI services. The AI-102 certification exam is the successor to the AI-100 exam, which was previously used to assess candidates' skills in designing and implementing AI solutions on Azure.
Microsoft AI-102 Exam is aimed at professionals who have experience in AI solution development and deployment. The candidates should have a good understanding of machine learning algorithms and should be able to apply them in real-world scenarios. AI-102 exam also tests the candidate's ability to design and integrate AI solutions with other Azure services.
Exam AI-102 Syllabus & AI-102 Valid Test Notes
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Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q119-Q124):
NEW QUESTION # 119
You are building a language model by using a Language Understanding service.
You create a new Language Understanding resource.
You need to add more contributors.
What should you use?
Answer: C
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-how-to-collaborate
NEW QUESTION # 120
You are developing a photo application that will find photos of a person based on a sample image by using the Face API.
You need to create a POST request to find the photos.
How should you complete the request? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/rest/api/faceapi/face/detectwithurl
https://docs.microsoft.com/en-us/rest/api/faceapi/face/findsimilar
NEW QUESTION # 121
You have a collection of press releases stored as PDF files.
You need to extract text from the files and perform sentiment analysis.
Which service should you use 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 # 122
You have data saved in the following format.
Which format was used?
Answer: C
NEW QUESTION # 123
You need to build a chatbot that meets the following requirements:
Supports chit-chat, knowledge base, and multilingual models
Performs sentiment analysis on user messages
Selects the best language model automatically
What should you integrate into the chatbot?
Answer: C
Explanation:
Language Understanding: An AI service that allows users to interact with your applications, bots, and IoT devices by using natural language.
QnA Maker is a cloud-based Natural Language Processing (NLP) service that allows you to create a natural conversational layer over your data. It is used to find the most appropriate answer for any input from your custom knowledge base (KB) of information.
Text Analytics: Mine insights in unstructured text using natural language processing (NLP)-no machine learning expertise required. Gain a deeper understanding of customer opinions with sentiment analysis. The Language Detection feature of the Azure Text Analytics REST API evaluates text input Incorrect Answers:
A, B, D: Dispatch uses sample utterances for each of your bot's different tasks (LUIS, QnA Maker, or custom), and builds a model that can be used to properly route your user's request to the right task, even across multiple bots.
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics/
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/overview
NEW QUESTION # 124
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