Microsoft AI-102 exam pdf dumps

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Microsoft AI-102 certification exam covers a wide range of topics related to AI, including natural language processing, machine learning, computer vision, and conversational AI. AI-102 exam also tests the candidate's ability to integrate AI solutions with other Azure services such as Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service. AI-102 Exam is intended for solution architects, developers, and data scientists who are responsible for designing and implementing AI solutions using Azure services.

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Microsoft AI-102: Designing and Implementing a Microsoft Azure AI Solution Exam is a certification exam designed to test your knowledge of designing and implementing AI solutions using Microsoft Azure technologies. AI-102 Exam is intended for the individuals who have a strong understanding of Microsoft Azure AI services and want to demonstrate their expertise in designing and implementing AI solutions.

Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q316-Q321):

NEW QUESTION # 316
You are developing a service that records lectures given in English (United Kingdom).
You have a method named AppendToTranscriptFile that takes translated text and a language identifier.
You need to develop code that will provide transcripts of the lectures to attendees in their respective language. The supported languages are English, French, Spanish, and German.
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 # 317
You have an Azure Cognitive Search solution and an enrichment pipeline that performs Sentiment Analysis on social media posts.
You need to define a knowledge store that will include the social media posts and the Sentiment Analysis results.
Which two fields should you include in the definition? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. storageContainer
B. files
C. storaeeConnectionString
D. tables
E. objects

Answer: C,D

NEW QUESTION # 318
You need to implement a table projection to generate a physical expression of an Azure Cognitive Search index.
Which three properties should you specify in the skillset definition JSON configuration table node? Each correct answer presents part of the solution. (Choose three.) NOTE: Each correct selection is worth one point.

A. source
B. tableName
C. dataSource
D. dataSourceConnection
E. generatedKeyName

Answer: A,B,E

Explanation:
Explanation
Defining a table projection.
Each table requires three properties:
tableName: The name of the table in Azure Storage.
generatedKeyName: The column name for the key that uniquely identifies this row.
source: The node from the enrichment tree you are sourcing your enrichments from. This node is usually the output of a shaper, but could be the output of any of the skills.
Reference:
https://docs.microsoft.com/en-us/azure/search/knowledge-store-projection-overview

NEW QUESTION # 319
You run the following command.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-container-howto

NEW QUESTION # 320
You are building a chatbot by using the Microsoft Bot Framework Composer.
You have the dialog design shown in the following exhibit.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/composer/concept-language-generation
https://docs.microsoft.com/en-us/azure/data-explorer/kusto/query/coalescefunction

NEW QUESTION # 321
......

Sample AI-102 Questions: https://www.actualcollection.com/AI-102-exam-questions.html