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AI-900: MICROSOFT AZURE AI FUNDAMENTALS. EXAM 2025/2026 QUESTIONS AND ANSWERS 100% PASS

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AI-900: MICROSOFT AZURE AI FUNDAMENTALS. EXAM 2025/2026 QUESTIONS AND ANSWERS 100% PASS

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AI-900: MICROSOFT AZURE AI
FUNDAMENTALS. EXAM 2025/2026
QUESTIONS AND ANSWERS 100% PASS




Which type of service provides a platform for conversational artificial intelligence (AI)? -
ANS Bot Services


Which type of artificial intelligence (AI) workload has the primary purpose of making large
amounts of data searchable? - ANS Knowledge mining


Which artificial intelligence (AI) workload scenario is an example of anomaly detection? -
ANS 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)? - ANS Extracting key phrases from a business insights report


For which scenario should you use anomaly detection? - ANS 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? - ANS Inclusiveness




1 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED.

,Which principle of responsible artificial intelligence (AI) defines the framework of governance
and organization principles that meet ethical and legal standards of AI solutions? -
ANS 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? -
ANS 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? - ANS 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. - ANS 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? -
ANS Reliability and safety




2 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED.

, Which type machine learning algorithm predicts a numeric label associated with an item based
on that item's features? - ANS Regression


Which type of machine learning algorithm assigns items to a set of predefined categories? -
ANS 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? - ANS Clustering


Predicting rainfall for a specific geographical location is an example of which type of machine
learning? - ANS 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? - ANS 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? - ANS 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? - ANS Clustering


3 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED.

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