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AI-900 Test Collection - AI-900 Test Questions Pdf, Latest AI-900 Study Plan
AI-900 Test Collection - AI-900 Test Questions Pdf, Latest AI-900 Study Plan
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NEW QUESTION 29
You use Azure Machine Learning designer to publish an inference pipeline.
Which two parameters should you use to consume the pipeline? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. the model name
  • B. the authentication key
  • C. the training endpoint
  • D. the REST endpoint

Answer: B,D

Explanation:
Explanation
https://docs.microsoft.com/en-in/learn/modules/create-regression-model-azure-machine-learning-designer/deploy

 

NEW QUESTION 30
You have a frequently asked questions (FAQ) PDF file.
You need to create a conversational support system based on the FAQ.
Which service should you use?

  • A. Text Analytics
  • B. Language Understanding (LUIS)
  • C. QnA Maker
  • D. Computer Vision

Answer: C

Explanation:
QnA Maker is a cloud-based API service that lets you create a conversational question-and-answer layer over your existing data. Use it to build a knowledge base by extracting questions and answers from your semi-structured content, including FAQs, manuals, and documents.
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/qna-maker/

 

NEW QUESTION 31
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:
Explanation

Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-manage-channels?view=azure-bot-service-4.0 All 3 are correct as they are the different channels to connect with a bot Office 365 email - Enable a bot to communicate with users via Office 365 email.
Microsoft Teams - Configure a bot to communicate with users through Microsoft Teams.
Web Chat - Automatically configured for you when you create a bot with the Bot Framework Service.
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-manage-channels?view=azure-bot-service-4.0

 

NEW QUESTION 32
You have the process shown in the following exhibit.

Which type AI solution is shown in the diagram?

  • A. a chatbot
  • B. a sentiment analysis solution
  • C. a machine learning model
  • D. a computer vision application

Answer: A

 

NEW QUESTION 33
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Explanation:
In machine learning, if you have labeled data, that means your data is marked up, or annotated, to show the target, which is the answer you want your machine learning model to predict.
In general, data labeling can refer to tasks that include data tagging, annotation, classification, moderation, transcription, or processing.
Incorrect Answers:
Not features: In machine learning and statistics, feature selection is the process of selecting a subset of relevant, useful features to use in building an analytical model. Feature selection helps narrow the field of data to the most valuable inputs. Narrowing the field of data helps reduce noise and improve training performance.
Reference:
https://www.cloudfactory.com/data-labeling-guide

 

NEW QUESTION 34
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