AI-102 Real Exam - AI-102 Reliable Test Experience
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Microsoft AI-102 exam is intended for professionals who work as AI engineers, data scientists, solution architects, or developers, and who have experience with Azure services such as Azure Machine Learning, Azure Cognitive Services, and Azure Bot Service. It is also suitable for individuals who are interested in pursuing a career in AI and want to validate their skills and knowledge through a recognized certification.
The AI-102 Certification Exam covers a wide range of topics, including Azure Cognitive Services, Natural Language Processing (NLP), and Computer Vision. You will be tested on your ability to develop and implement AI solutions using various Azure services and tools.
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The AI-102 Certification Exam covers a wide range of topics, including designing AI solutions, implementing AI workflows, deploying AI models, and maintaining AI solutions. AI-102 exam is designed for professionals who have experience with Azure services, data science, and machine learning. Designing and Implementing a Microsoft Azure AI Solution certification exam is designed to test a candidate's knowledge of Azure Cognitive Services, Azure Machine Learning, and other Azure AI tools.
Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q241-Q246):
NEW QUESTION # 241
You are building a retail chatbot that will use a QnA Maker service.
You upload an internal support document to train the model. The document contains the following question: "What is your warranty period?" Users report that the chatbot returns the default QnA Maker answer when they ask the following question: "How long is the warranty coverage?" The chatbot returns the correct answer when the users ask the following question: 'What is your warranty period?" Both questions should return the same answer.
You need to increase the accuracy of the chatbot responses.
Which three 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. (Choose three.)
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/edit-knowledge-base
NEW QUESTION # 242
You are developing a call to the Face API. The call must find similar faces from an existing list named employeefaces. The employeefaces list contains 60,000 images.
How should you complete the body of the HTTP 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/findsimilar
NEW QUESTION # 243
You need to create a new resource that will be used to perform sentiment analysis and optical character recognition (OCR). The solution must meet the following requirements:
Use a single key and endpoint to access multiple services.
Consolidate billing for future services that you might use.
Support the use of Computer Vision in the future.
How should you complete the HTTP request to create the new resource? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: PUT
Sample Request: PUT https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/test-rg/providers/Microsoft.DeviceUpdate/accounts/contoso?api-version=2020-03-01-preview Incorrect Answers:
PATCH is for updates.
Box 2: CognitiveServices
Microsoft Azure Cognitive Services provide us to use its pre-trained models for various Business Problems related to Machine Learning.
List of Different Services are:
Decision
Language (includes sentiment analysis)
Speech
Vision (includes OCR)
Web Search
Reference:
https://docs.microsoft.com/en-us/rest/api/deviceupdate/resourcemanager/accounts/create
https://www.analyticsvidhya.com/blog/2020/12/microsoft-azure-cognitive-services-api-for-ai-development/
NEW QUESTION # 244
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 # 245
You have a Language Understanding solution that runs in a Docker container.
You download the Language Understanding container image from the Microsoft Container Registry (MCR).
You need to deploy the container image to a host computer.
Which three 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:
1 - From the Language Understanding portal, export the solution as a package file.
2 - From the host computer, move the package file to the docker input directory.
3 - From the host computer, build the container and specify the output directory.
NEW QUESTION # 246
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