AI-900 MS Learn Practice Exam 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
C) optical character recognition
D) object detection - ANS D) object detection
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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
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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
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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.
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