EXAM AI-900 MICROSOFT AZURE AI FUNDAMENTALS QUESTIONS AND
ANSWERS
Which type of service provides a platform for conversational artificial intelligence (AI)? - CORRECT
ANSWER✅✅Bot Services
Which type of artificial intelligence (AI) workload has the primary purpose of making large amounts of
data searchable? - CORRECT ANSWER✅✅Knowledge mining
Which artificial intelligence (AI) workload scenario is an example of anomaly detection? - CORRECT
ANSWER✅✅Monitoring the flow speed and low/high points of river water levels
(Tips: Anomaly Detector service to detect abnormalities in time-series data.)
Which artificial intelligence (AI) workload scenario is an example of natural language processing (NLP)? -
CORRECT ANSWER✅✅Extracting key phrases from a business insights report
For which scenario should you use anomaly detection? - CORRECT ANSWER✅✅detecting credit card
fraud
Which principle of responsible artificial intelligence (AI) has the objective of ensuring that AI solutions
benefit all parts of society regardless of gender or ethnicity? - CORRECT ANSWER✅✅Inclusiveness
Which principle of responsible artificial intelligence (AI) defines the framework of governance and
organization principles that meet ethical and legal standards of AI solutions? - CORRECT
ANSWER✅✅Accountability
(Tip: Accountability defines the framework of governance and organizational principles, which are
meant to ensure that AI solutions meet ethical and legal standards that are clearly defined.)
Which principle of responsible artificial intelligence (AI) plays the primary role when implementing an AI
solution that meet qualifications for business loan approvals? - CORRECT ANSWER✅✅Fairness
,(Tip: Fairness is meant to ensure that AI models do not unintentionally incorporate a bias based on
criteria such as gender or ethnicity)
Which principle of responsible artificial intelligence (AI) is applied in the design of an AI system to ensure
that users understand constraints and limitations of AI? - CORRECT ANSWER✅✅Transparency
(Tip: The transparency principle states that AI systems must be designed in such a way that users are
made fully aware of the purpose of the systems, how they work, and which limitations can be expected
during use.)
Which two principles of responsible artificial intelligence (AI) are most important when designing an AI
system to manage healthcare data? Each correct answer presents part of the solution. - CORRECT
ANSWER✅✅1. Accountability
2. Privacy and Security
A company is currently developing driverless agriculture vehicles to help harvest crops. The vehicles will
be deployed alongside people working in the crop fields, and as such, the company will need to carry out
robust testing.
Which principle of responsible artificial intelligence (AI) is most important in this case? - CORRECT
ANSWER✅✅Reliability and safety
Which type machine learning algorithm predicts a numeric label associated with an item based on that
item's features? - CORRECT ANSWER✅✅Regression
Which type of machine learning algorithm assigns items to a set of predefined categories? - CORRECT
ANSWER✅✅Classification
Which type of machine learning algorithm finds the optimal way to split a dataset into groups without
relying on training and validating label predictions? - CORRECT ANSWER✅✅Clustering
Predicting rainfall for a specific geographical location is an example of which type of machine learning? -
CORRECT ANSWER✅✅Regression
, A company deploys an online marketing campaign to social media platforms for a new product launch.
The company wants to use machine learning to measure the sentiment of users on the Twitter platform
who made posts in response to the campaign.
Which type of machine learning is this? - CORRECT ANSWER✅✅Classification
(Tip: Classification is used to predict categories of data. It can predict which category or class an item of
data belongs to. In this example, sentiment analysis can be carried out on the Twitter posts with a
numeric value applied to the posts to identify and classify positive or negative sentiment.)
A healthcare organization has a dataset consisting of bone fracture scans that are categorized by using
predefined fracture types. The organization wants to use machine learning to detect the different types
of bone fractures for new scans before the scans are sent to a medical practitioner.
Which type of machine learning is this? - CORRECT ANSWER✅✅Classification
A retailer wants to group together online shoppers that have similar attributes to enable its marketing
team to create targeted marketing campaigns for new product launches.
Which type of machine learning is this? - CORRECT ANSWER✅✅Clustering
You plan to use machine learning to predict the probability of humans developing diabetes based on
their age and body fat percentage.
What should the model include? - CORRECT ANSWER✅✅Two features and one label
Which assumption of the multiple linear regression model should be satisfied to avoid misleading
predictions? - CORRECT ANSWER✅✅Features are independent of each other
(Tip: The features must be independent of each other, otherwise, the model's predictions will be
misleading.)
A company wants to predict household water use based on the number of people in a house, the
weather temperature, and the time of year.
In terms of data labels and features, what is the label in this use case? - CORRECT ANSWER✅✅Water
use
ANSWERS
Which type of service provides a platform for conversational artificial intelligence (AI)? - CORRECT
ANSWER✅✅Bot Services
Which type of artificial intelligence (AI) workload has the primary purpose of making large amounts of
data searchable? - CORRECT ANSWER✅✅Knowledge mining
Which artificial intelligence (AI) workload scenario is an example of anomaly detection? - CORRECT
ANSWER✅✅Monitoring the flow speed and low/high points of river water levels
(Tips: Anomaly Detector service to detect abnormalities in time-series data.)
Which artificial intelligence (AI) workload scenario is an example of natural language processing (NLP)? -
CORRECT ANSWER✅✅Extracting key phrases from a business insights report
For which scenario should you use anomaly detection? - CORRECT ANSWER✅✅detecting credit card
fraud
Which principle of responsible artificial intelligence (AI) has the objective of ensuring that AI solutions
benefit all parts of society regardless of gender or ethnicity? - CORRECT ANSWER✅✅Inclusiveness
Which principle of responsible artificial intelligence (AI) defines the framework of governance and
organization principles that meet ethical and legal standards of AI solutions? - CORRECT
ANSWER✅✅Accountability
(Tip: Accountability defines the framework of governance and organizational principles, which are
meant to ensure that AI solutions meet ethical and legal standards that are clearly defined.)
Which principle of responsible artificial intelligence (AI) plays the primary role when implementing an AI
solution that meet qualifications for business loan approvals? - CORRECT ANSWER✅✅Fairness
,(Tip: Fairness is meant to ensure that AI models do not unintentionally incorporate a bias based on
criteria such as gender or ethnicity)
Which principle of responsible artificial intelligence (AI) is applied in the design of an AI system to ensure
that users understand constraints and limitations of AI? - CORRECT ANSWER✅✅Transparency
(Tip: The transparency principle states that AI systems must be designed in such a way that users are
made fully aware of the purpose of the systems, how they work, and which limitations can be expected
during use.)
Which two principles of responsible artificial intelligence (AI) are most important when designing an AI
system to manage healthcare data? Each correct answer presents part of the solution. - CORRECT
ANSWER✅✅1. Accountability
2. Privacy and Security
A company is currently developing driverless agriculture vehicles to help harvest crops. The vehicles will
be deployed alongside people working in the crop fields, and as such, the company will need to carry out
robust testing.
Which principle of responsible artificial intelligence (AI) is most important in this case? - CORRECT
ANSWER✅✅Reliability and safety
Which type machine learning algorithm predicts a numeric label associated with an item based on that
item's features? - CORRECT ANSWER✅✅Regression
Which type of machine learning algorithm assigns items to a set of predefined categories? - CORRECT
ANSWER✅✅Classification
Which type of machine learning algorithm finds the optimal way to split a dataset into groups without
relying on training and validating label predictions? - CORRECT ANSWER✅✅Clustering
Predicting rainfall for a specific geographical location is an example of which type of machine learning? -
CORRECT ANSWER✅✅Regression
, A company deploys an online marketing campaign to social media platforms for a new product launch.
The company wants to use machine learning to measure the sentiment of users on the Twitter platform
who made posts in response to the campaign.
Which type of machine learning is this? - CORRECT ANSWER✅✅Classification
(Tip: Classification is used to predict categories of data. It can predict which category or class an item of
data belongs to. In this example, sentiment analysis can be carried out on the Twitter posts with a
numeric value applied to the posts to identify and classify positive or negative sentiment.)
A healthcare organization has a dataset consisting of bone fracture scans that are categorized by using
predefined fracture types. The organization wants to use machine learning to detect the different types
of bone fractures for new scans before the scans are sent to a medical practitioner.
Which type of machine learning is this? - CORRECT ANSWER✅✅Classification
A retailer wants to group together online shoppers that have similar attributes to enable its marketing
team to create targeted marketing campaigns for new product launches.
Which type of machine learning is this? - CORRECT ANSWER✅✅Clustering
You plan to use machine learning to predict the probability of humans developing diabetes based on
their age and body fat percentage.
What should the model include? - CORRECT ANSWER✅✅Two features and one label
Which assumption of the multiple linear regression model should be satisfied to avoid misleading
predictions? - CORRECT ANSWER✅✅Features are independent of each other
(Tip: The features must be independent of each other, otherwise, the model's predictions will be
misleading.)
A company wants to predict household water use based on the number of people in a house, the
weather temperature, and the time of year.
In terms of data labels and features, what is the label in this use case? - CORRECT ANSWER✅✅Water
use
