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Microsoft AI-900 Exam Dumps

Microsoft Azure AI Fundamentals

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Update Date : July 11, 2024
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Microsoft AI-900 Sample Questions

Question # 1

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

A. Ensure that all visuals have an associated text that can be read by a screen reader. 
B. Enable autoscaling to ensure that a service scales based on demand. 
C. Provide documentation to help developers debug code. 
D. Ensure that a training dataset is representative of the population. 

Question # 2

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.Which business benefit should the company expect as a result of creating the webchat bot solution? 

A. increased sales
B. a reduced workload for the customer service agents 
C. improved product reliability 

Question # 3

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?

A. fairness
B. inclusiveness 
C. reliability and safety 
D. accountability

Question # 4

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 more faces.Contain at least one person wearing sunglasses. What should you use to analyze the images? 

A. the Verify operation in the Face service 
B. the Detect operation in the Face service 
C. the Describe Image operation in the Computer Vision service 
D. the Analyze Image operation in the Computer Vision service 

Question # 5

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. What should you do?  

A. Set Validation type to Auto. 
B. Enable Explain best model. 
C. Set Primary metric to accuracy. 
D. Set Max concurrent iterations to 0. 

Question # 6

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. 

Question # 7

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? 

A. accountability
B. fairness 
C. inclusiveness 
D. privacy and security 

Question # 8

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

A. knowledgeability
B. decisiveness 
C. inclusiveness 
D. fairness 
E. opinionatedness 
F. reliability and safety 

Question # 9

You are building an AI-based app. You need to ensure that the app uses the principles for responsible AI. Which two principles should you follow? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point. 

A. Implement an Agile software development methodology 
B. Implement a process of Al model validation as part of the software review process 
C. Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer 
D. Prevent the disclosure of the use of Al-based algorithms for automated decision making 

Question # 10

When you design an AI system to assess whether loans should be approved, the factors used to make the decision should be explainable. This is an example of which Microsoft guiding principle for responsible AI? 

A. transparency 
B. inclusiveness 
C. fairness 
D. privacy and security 

Question # 11

A medical research project uses a large anonymized dataset of brain scan images that are categorized into predefined brain haemorrhage types.You need to use machine learning to support early detection of the different brain haemorrhage types in the images before the images are reviewed by a person.This is an example of which type of machine learning?

A. clustering
B. regression 
C. classification 

Question # 12

You have a dataset that contains information about taxi journeys that occurred during a given period.You need to train a model to predict the fare of a taxi journey.What should you use as a feature?

A. the number of taxi journeys in the dataset 
B. the trip distance of individual taxi journeys 
C. the fare of individual taxi journeys 
D. the trip ID of individual taxi journeys