Exam AI-900: Microsoft Azure AI Fundamentals QUESTIONS AND ANSWERS GRADE A+ GUARANTEED
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Exam AI-900: Microsoft Azure AI Fundamentals
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Exam AI-900: Microsoft Azure AI Fundamentals
Which type of service provides a platform for conversational artificial intelligence (AI)?
Bot Services
Which type of artificial intelligence (AI) workload has the primary purpose of making large amounts of data searchable?
Knowledge mining
Which artificial intelligence (AI) workload scenario i...
which type of service provides a platform for conv
which type of artificial intelligence ai workloa
which artificial intelligence ai workload scenar
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Exam AI-900: Microsoft Azure AI Fundamentals
Exam AI-900: Microsoft Azure AI Fundamentals
Exam AI-900: Microsoft Azure AI Fundamentals
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Exam AI-900: Microsoft Azure AI
Fundamentals QUESTIONS AND ANSWERS
GRADE A+ GUARANTEED
Which type of service provides a platform for conversational
artificial intelligence (AI)?
Bot Services
Which type of artificial intelligence (AI) workload has the primary
purpose of making large amounts of data searchable?
Knowledge mining
Which artificial intelligence (AI) workload scenario is an example of
anomaly detection?
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)?
Extracting key phrases from a business insights report
For which scenario should you use anomaly detection?
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?
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?
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?
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?
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.
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?
Reliability and safety
Which type machine learning algorithm predicts a numeric label
associated with an item based on that item's features?
Regression
Which type of machine learning algorithm assigns items to a set of
predefined categories?
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?
Clustering
Predicting rainfall for a specific geographical location is an
example of which type of machine learning?
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?
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?
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?
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?
Two features and one label
Which assumption of the multiple linear regression model should be
satisfied to avoid misleading predictions?
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?
Water use
What is the purpose of a validation dataset used for as part of the
development of a machine learning model?
Evaluating the trained model
You need to use the Azure Machine Learning designer to train a
machine learning model.
What should you do first in the Machine Learning designer?
Add a dataset
THERE MIGHT BE AN ERROR IN THE PRACTICE TEST.
(Tip: Before you can start training a machine learning model, you
must first create a pipeline in the Machine Learning designer. This
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