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Microsoft AI-102 (Designing and Implementing a Microsoft Azure AI Solution) is a certification exam that is designed for professionals who want to demonstrate their skills in designing and implementing AI solutions using Microsoft Azure. Designing and Implementing a Microsoft Azure AI Solution certification exam is intended for AI engineers, data scientists, and developers who have experience in implementing AI solutions using Azure services. AI-102 Exam measures the candidate's ability to design and implement AI solutions that meet business requirements, and integrate with other Azure services.

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Microsoft AI-102 is an exam that is designed for IT professionals who are interested in Microsoft Azure and artificial intelligence technologies. AI-102 exam tests the candidate's knowledge and skills in designing and implementing an AI solution using Azure services. AI-102 exam is a part of the Microsoft Certified: Azure AI Engineer Associate certification and is aimed at professionals who have experience in AI solution development and deployment.

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Exam Register Link: https://examregistration.microsoft.com/?locale=en-us&examcode=AI-102&examname=Exam%20AI-102:%20Designing%20and%20Implementing%20a%20Microsoft%20Azure%20AI%20Solution&returnToLearningUrl=https%3A%2F%2Fdocs.microsoft.com%2Flearn%2Fcertifications%2Fexams%2Fai-102

Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q406-Q411):

NEW QUESTION # 406
You successfully run the following HTTP request.
POST
https://management.azure.com/subscriptions/18c51a87-3a69-47a8-aedc-a54745f708a1/resourceGroups/RG1/pro Body{"keyName": "Key2"} What is the result of the request?

A. A new query key was generated.
B. The primary subscription key and the secondary subscription key were rotated.
C. A key for Azure Cognitive Services was generated in Azure Key Vault.
D. The secondary subscription key was reset.

Answer: A

Explanation:
Explanation
https://docs.microsoft.com/en-us/rest/api/searchmanagement/2021-04-01-preview/query-keys/create

NEW QUESTION # 407
You are building a multilingual chatbot.
You need to send a different answer for positive and negative messages.
Which two Text Analytics APIs should you use? Each correct answer presents part of the solution. (Choose two.) NOTE: Each correct selection is worth one point.

A. Named Entity Recognition
B. Sentiment Analysis
C. Linked entities from a well-known knowledge base
D. Key Phrases
E. Detect Language

Answer: B,E

Explanation:
B: The Text Analytics API's Sentiment Analysis feature provides two ways for detecting positive and negative sentiment. If you send a Sentiment Analysis request, the API will return sentiment labels (such as "negative",
"neutral" and "positive") and confidence scores at the sentence and document-level.
D: The Language Detection feature of the Azure Text Analytics REST API evaluates text input for each document and returns language identifiers with a score that indicates the strength of the analysis.
This capability is useful for content stores that collect arbitrary text, where language is unknown. Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to- sentiment-analysis?tabs=version-3-1
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to- language-detection

NEW QUESTION # 408
You have an Azure subscription that contains a Language service resource named ta1 and a virtual network named vnet1. You need to ensure that only resources in vnet1 can access ta1. What should you configure?

A. a Language service container for ta1
B. Azure Firewall for vnet1
C. the virtual network settings for ta 1
D. a network security group (NSG) for vnet1

Answer: C

NEW QUESTION # 409
You are examining the Language service 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 Language service API is used 10 analyze the Text?

A. Sentiment Analysis
B. Entity Linking
C. Key Phrase Extraction
D. Named Entity Recognition

Answer: D

NEW QUESTION # 410
Hotspot Question
You are building an app that will perform speech translation by using the Azure AI Language service.
You need to ensure that the language input to the app is supported.
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:

NEW QUESTION # 411
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