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AI-900 MS LEARN PRACTICE ASSESSMENT EXAM 2025/2026 QUESTIONS AND ANSWERS 100% PASS

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AI-900 MS LEARN PRACTICE ASSESSMENT EXAM 2025/2026 QUESTIONS AND ANSWERS 100% PASS

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AI-900 MS LEARN PRACTICE
ASSESSMENT EXAM 2025/2026
QUESTIONS AND ANSWERS 100% PASS




Which natural language processing (NLP) workload is used to generate closed caption text for
live presentations?


A) Azure AI Speech
B) Conversational language understanding (CLU)
C) Question answering models

D) Text analysis - ANS A) Azure AI Speech


Explanation:
Azure AI Speech provides speech-to-text and text-to-speech capabilities through speech
recognition and synthesis. You can use prebuilt and custom Speech service models for a variety
of tasks, from transcribing audio to text with high accuracy, to identifying speakers in
conversations, creating custom voices, and more.


Which type of artificial intelligence (AI) workload provides the ability to generate bounding
boxes that identify the locations of different types of vehicles in an image?


A) image analysis
B) image classification


1 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED.

,C) optical character recognition

D) object detection - ANS D) object detection


Explanation:
Object detection provides the ability to generate bounding boxes identifying the locations of
different types of vehicles in an image. The other answer choices also process images, but their
outcomes are different.


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


A) Image analysis
B) Knowledge mining
C) Object detection

D) Semantic segmentation - ANS B) Knowledge mining




Explanation:
Knowledge mining is an artificial intelligence (AI) workload that has the purpose of making large
amounts of data searchable. While other workloads leverage indexing for faster access to large
amounts of data, this is not their primary purpose.


Which artificial intelligence (AI) workload scenario is an example of natural language processing
(NLP)?
Select only one answer.


A) extracting key phrases from a business insights report
B) identifying objects in landscape images
C) monitoring for sudden increases in quantity of failed sign-in attempts
D) predicting whether customers are likely to buy a product based on previous purchases -
ANS A) extracting key phrases from a business insights report

2 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED.

,Explanation:


Extracting key phrases from text to identify the main terms is an NLP workload. Predicting
whether customers are likely to buy a product based on previous purchases requires the
development of a machine learning model. Monitoring for sudden increases in quantity of failed
sign-in attempts is a different workload. Identifying objects in landscape images is a computer
vision workload.




Natural language processing (NLP) features include sentiment analysis, key phrase extraction,
named entity recognition, and language detection.


Which two artificial intelligence (AI) workload scenarios are examples of natural language
processing (NLP)? Each correct answer presents a complete solution.


A) extracting handwritten text from online images
B) generating tags and descriptions for images
C) monitoring network traffic for sudden spikes
D) performing sentiment analysis on social media data

E) translating text between different languages from product reviews - ANS D) performing
sentiment analysis on social media data
E) translating text between different languages from product reviews




Explanation:
Translating text between different languages from product reviews is an NLP workload that uses
the Azure AI Translator service and is part of Azure AI Services. It can provide text translation of
supported languages in real time. Performing sentiment analysis on social media data is an NLP
that uses the sentiment analysis feature of the Azure AI Service for Language. It can provide
sentiment labels, such as negative, neutral, and positive for text-based sentences and
documents.

3 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED.

, Natural language processing (NLP) features include sentiment analysis, key phrase extraction,
named entity recognition, and language detection.


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?


Select only one answer.


A) accountability
B) inclusiveness
C) privacy and security

D) reliability and safety - ANS B) inclusiveness


Explanation:
The inclusiveness principle is meant to ensure that AI solutions empower and engage everyone,
regardless of criteria such as physical ability, gender, sexual orientation, or ethnicity. Privacy and
security, reliability and safety, and accountability do not discriminate based on these criteria,
but also do not emphasize the significance of bringing benefits to all parts of the society.


Which principle of responsible artificial intelligence (AI) involves evaluating and mitigating the
bias introduced by the features of a model?


A) accountability
B) fairness
C) privacy

D) transparency - ANS B) fairness


Explanation:
Fairness involves evaluating and mitigating the bias introduced by the features of a model.
Privacy is meant to ensure that privacy provisions are included in AI solutions. Transparency

4 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED.

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