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Question 1

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A company employs a team of customer service agents to provide telephone and email support to customers. The company develops a webchat bot to provide automated answers to common customer queries.

Question 2

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For a machine learning progress, how should you split data for training and evaluation?

Question 3

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You build a machine learning model by using the automated machine learning user interface (UI). You need to ensure that the model meets the Microsoft transparency principle for responsible AI. Wha

Question 4

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You are designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments. This is an example of which Microsoft guiding principle for responsible AI?

Question 5

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You are building an AI system. Which task should you include to ensure that the service meets the Microsoft transparency principle for responsible AI?

Question 6

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Your company is exploring the use of voice recognition technologies in its smart home devices. The company wants to identify any barriers that might unintentionally leave out specific user groups. T

Question 7

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What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

Question 8

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You run a charity event that involves posting photos of people wearing sunglasses on Twitter. You need to ensure that you only retweet photos that meet the following requirements: Include one or m

Question 9

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Which metric can you use to evaluate a classification model?

Question 10

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Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

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Your company is exploring the use of voice recognition technologies in its smart home devices. The company wants to identify any barriers that might unintentionally leave out specific user groups. This an example of which Microsoft guiding principle for responsible AI?

Question 2 - AI-900 discussion

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For a machine learning progress, how should you split data for training and evaluation?

A.

Use features for training and labels for evaluation.

B.

Randomly split the data into rows for training and rows for evaluation.

C.

Use labels for training and features for evaluation.

D.

Randomly split the data into columns for training and columns for evaluation.

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asked 26/09/2024

Oliver Buss

29 questions

User

Your answer: A B C D

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