200 PRACTICE QUESTIONS FOR AZURE
AI-900 FUNDAMENTALS EXAM 2025/2026
QUESTIONS AND ANSWERS 100% PASS
What is Machine learning? - ANS This is often the foundation for an AI system, and is the way
we "teach" a computer model to make prediction and draw conclusions from data.Machine
learning is a technique that uses mathematics and statistics to create a model that can predict
unknown values.
What is Anomaly detection? - ANS The capability to automatically detect errors or unusual
activity in a system.
What is Computer Vision? - ANS The capability of software to interpret the world visually
through cameras, video, and images.
What is Natural language processing? - ANS The capability for a computer to interpret
written or spoken language, and respond in kind.
What is Conversational AI? - ANS The capability of a software "agent" to participate in a
conversation.
What is AI? - ANS is the creation of software that imitates human behaviors and capabilities.
Key elements include:Machine learningAnomaly detectionComputer VisionNatural language
processingConversational AI
1 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED.
,How do machines learn? - ANS In today's world, we create huge volumes of data as we go
about our everyday lives. From the text messages, emails, and social media posts we send to
the photographs and videos we take on our phones, we generate massive amounts of
information. More data still is created by millions of sensors in our homes, cars, cities, public
transport infrastructure, and factories.Data scientists can use all of that data to train machine
learning models that can make predictions and inferences based on the relationships they find
in the data.https://docs.microsoft.com/en-us/learn/modules/get-started-ai-fundamentals/2-
understand-machine-learn
Is there any service for Machine learning from Microsoft Azure? - ANS Microsoft Azure
provides the Azure Machine Learning service - a cloud-based platform for creating, managing,
and publishing machine learning models.
What are the features and capabilities of Azure Machine Learning Service? - ANS Automated
machine learningThis feature enables non-experts to quickly create an effective machine
learning model from data.Azure Machine Learning designerA graphical interface enabling no-
code development of machine learning solutions.Data and compute managementCloud-based
data storage and compute resources that professional data scientists can use to run data
experiment code at scale.PipelinesData scientists, software engineers, and IT operations
professionals can define pipelines to orchestrate model training, deployment, and management
tasks.
In which scenarios you use anomaly detection — a machine learning-based technique that
analyzes data over time and identifies unusual changes? - ANS 1. Monitor credit card
transactions and detect unusual usage patterns that might indicate fraud.2. An application that
tracks activity in an automated production line and identifies failures.3. A racing car telemetry
system that uses sensors to proactively warn engineers about potential mechanical failures
before they happen.
Is there any service for Anamoly detection from Microsoft Azure? - ANS The Anomaly
Detector service provides an application programming interface (API) that developers can use to
create anomaly detection solutions.To learn more, view the Anomaly Detector service web site.
Name the app based on Computer Vision? - ANS The Seeing AI app is a great example of the
power of computer vision. Designed for the blind and low vision community, the Seeing AI app
harnesses the power of AI to open up the visual world and describe nearby people, text and
objects.
2 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED.
,What are the tasks that come under Computer Vision? - ANS Image classificationImage
classification involves training a machine learning model to classify images based on their
contents. For example, in a traffic monitoring solution you might use an image classification
model to classify images based on the type of vehicle they contain, such as taxis, buses, cyclists,
and so on.Object detectionObject detection machine learning models are trained to classify
individual objects within an image, and identify their location with a bounding box. For example,
a traffic monitoring solution might use object detection to identify the location of different
classes of vehicle.Semantic segmentationSemantic segmentation is an advanced machine
learning technique in which individual pixels in the image are classified according to the object
to which they belong. For example, a traffic monitoring solution might overlay traffic images
with "mask" layers to highlight different vehicles using specific colors.Image analysisYou can
create solutions that combine machine learning models with advanced image analysis
techniques to extract information from images, including "tags" that could help catalog the
image or even descriptive captions that summarize the scene shown in the image.Face
detection, analysis, and recognitionFace detection is a specialized form of object detection that
locates human faces in an image. This can be combined with classification and facial geometry
analysis techniques to infer details such as gender, age, and emotional state; and even recognize
individuals based on their facial features.Optical character recognition (OCR)Optical character
recognition is a technique used to detect and read text in images. You can use OCR to read text
in photographs (for example, road signs or store fronts) or to extract information from scanned
documents such as letters, invoices, or forms
What are the Computer Vision services in Microsoft Azure? - ANS Computer VisionYou can
use this service to analyze images and video, and extract descriptions, tags, objects, and
text.Custom VisionUse this service to train custom image classification and object detection
models using your own images.FaceThe Face service enables you to build face detection and
facial recognition solutions.Form RecognizerUse this service to extract information from
scanned forms and invoices.
What can you do with NLP? - ANS * Analyze and interpret text in documents, email
messages, and other sources.
* Interpret spoken language, and synthesize speech responses.
* Automatically translate spoken or written phrases between languages.
* Interpret commands and determine appropriate actions.
What are NLP services in Microsoft Azure? - ANS Text AnalyticsUse this service to analyze text
documents and extract key phrases, detect entities (such as places, dates, and people), and
3 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED.
, evaluate sentiment (how positive or negative a document is).Translator TextUse this service to
translate text between more than 60 languages.SpeechUse this service to recognize and
synthesize speech, and to translate spoken languages.Language Understanding Intelligent
Service (LUIS)Use this service to train a language model that can understand spoken or text-
based commands.
What are the Conversational AI services in Microsoft Azure? - ANS QnA MakerThis cognitive
service enables you to quickly build a knowledge base of questions and answers that can form
the basis of a dialog between a human and an AI agent.Azure Bot ServiceThis service provides a
platform for creating, publishing, and managing bots. Developers can use the Bot Framework to
create a bot and manage it with Azure Bot Service - integrating back-end services like QnA
Maker and LUIS, and connecting to channels for web chat, email, Microsoft Teams, and others.
What is responsible AI? - ANS Artificial Intelligence is a powerful tool that can be used to
greatly benefit the world. However, like any tool, it must be used responsibly.At Microsoft, AI
software development is guided by a set of six principles, designed to ensure that AI
applications provide amazing solutions to difficult problems without any unintended negative
consequences.
What are the six guiding principles of responsible AI? - ANS Fairness: AI systems should treat
all people fairly. For example, suppose you create a machine learning model to support a loan
approval application for a bank. The model should make predictions of whether or not the loan
should be approved without incorporating any bias based on gender, ethnicity, or other factors
that might result in an unfair advantage or disadvantage to specific groups of applicants.
Reliability and safety: AI systems should perform reliably and safely. For example, consider an
AI-based software system for an autonomous vehicle; or a machine learning model that
diagnoses patient symptoms and recommends prescriptions. Unreliability in these kinds of
system can result in substantial risk to human life.
Privacy and security: AI systems should be secure and respect privacy. The machine learning
models on which AI systems are based rely on large volumes of data, which may contain
personal details that must be kept private. Even after the models are trained and the system is
in production, it uses new data to make predictions or take action that may be subject to privacy
or security concerns.
4 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED.
AI-900 FUNDAMENTALS EXAM 2025/2026
QUESTIONS AND ANSWERS 100% PASS
What is Machine learning? - ANS This is often the foundation for an AI system, and is the way
we "teach" a computer model to make prediction and draw conclusions from data.Machine
learning is a technique that uses mathematics and statistics to create a model that can predict
unknown values.
What is Anomaly detection? - ANS The capability to automatically detect errors or unusual
activity in a system.
What is Computer Vision? - ANS The capability of software to interpret the world visually
through cameras, video, and images.
What is Natural language processing? - ANS The capability for a computer to interpret
written or spoken language, and respond in kind.
What is Conversational AI? - ANS The capability of a software "agent" to participate in a
conversation.
What is AI? - ANS is the creation of software that imitates human behaviors and capabilities.
Key elements include:Machine learningAnomaly detectionComputer VisionNatural language
processingConversational AI
1 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED.
,How do machines learn? - ANS In today's world, we create huge volumes of data as we go
about our everyday lives. From the text messages, emails, and social media posts we send to
the photographs and videos we take on our phones, we generate massive amounts of
information. More data still is created by millions of sensors in our homes, cars, cities, public
transport infrastructure, and factories.Data scientists can use all of that data to train machine
learning models that can make predictions and inferences based on the relationships they find
in the data.https://docs.microsoft.com/en-us/learn/modules/get-started-ai-fundamentals/2-
understand-machine-learn
Is there any service for Machine learning from Microsoft Azure? - ANS Microsoft Azure
provides the Azure Machine Learning service - a cloud-based platform for creating, managing,
and publishing machine learning models.
What are the features and capabilities of Azure Machine Learning Service? - ANS Automated
machine learningThis feature enables non-experts to quickly create an effective machine
learning model from data.Azure Machine Learning designerA graphical interface enabling no-
code development of machine learning solutions.Data and compute managementCloud-based
data storage and compute resources that professional data scientists can use to run data
experiment code at scale.PipelinesData scientists, software engineers, and IT operations
professionals can define pipelines to orchestrate model training, deployment, and management
tasks.
In which scenarios you use anomaly detection — a machine learning-based technique that
analyzes data over time and identifies unusual changes? - ANS 1. Monitor credit card
transactions and detect unusual usage patterns that might indicate fraud.2. An application that
tracks activity in an automated production line and identifies failures.3. A racing car telemetry
system that uses sensors to proactively warn engineers about potential mechanical failures
before they happen.
Is there any service for Anamoly detection from Microsoft Azure? - ANS The Anomaly
Detector service provides an application programming interface (API) that developers can use to
create anomaly detection solutions.To learn more, view the Anomaly Detector service web site.
Name the app based on Computer Vision? - ANS The Seeing AI app is a great example of the
power of computer vision. Designed for the blind and low vision community, the Seeing AI app
harnesses the power of AI to open up the visual world and describe nearby people, text and
objects.
2 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED.
,What are the tasks that come under Computer Vision? - ANS Image classificationImage
classification involves training a machine learning model to classify images based on their
contents. For example, in a traffic monitoring solution you might use an image classification
model to classify images based on the type of vehicle they contain, such as taxis, buses, cyclists,
and so on.Object detectionObject detection machine learning models are trained to classify
individual objects within an image, and identify their location with a bounding box. For example,
a traffic monitoring solution might use object detection to identify the location of different
classes of vehicle.Semantic segmentationSemantic segmentation is an advanced machine
learning technique in which individual pixels in the image are classified according to the object
to which they belong. For example, a traffic monitoring solution might overlay traffic images
with "mask" layers to highlight different vehicles using specific colors.Image analysisYou can
create solutions that combine machine learning models with advanced image analysis
techniques to extract information from images, including "tags" that could help catalog the
image or even descriptive captions that summarize the scene shown in the image.Face
detection, analysis, and recognitionFace detection is a specialized form of object detection that
locates human faces in an image. This can be combined with classification and facial geometry
analysis techniques to infer details such as gender, age, and emotional state; and even recognize
individuals based on their facial features.Optical character recognition (OCR)Optical character
recognition is a technique used to detect and read text in images. You can use OCR to read text
in photographs (for example, road signs or store fronts) or to extract information from scanned
documents such as letters, invoices, or forms
What are the Computer Vision services in Microsoft Azure? - ANS Computer VisionYou can
use this service to analyze images and video, and extract descriptions, tags, objects, and
text.Custom VisionUse this service to train custom image classification and object detection
models using your own images.FaceThe Face service enables you to build face detection and
facial recognition solutions.Form RecognizerUse this service to extract information from
scanned forms and invoices.
What can you do with NLP? - ANS * Analyze and interpret text in documents, email
messages, and other sources.
* Interpret spoken language, and synthesize speech responses.
* Automatically translate spoken or written phrases between languages.
* Interpret commands and determine appropriate actions.
What are NLP services in Microsoft Azure? - ANS Text AnalyticsUse this service to analyze text
documents and extract key phrases, detect entities (such as places, dates, and people), and
3 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED.
, evaluate sentiment (how positive or negative a document is).Translator TextUse this service to
translate text between more than 60 languages.SpeechUse this service to recognize and
synthesize speech, and to translate spoken languages.Language Understanding Intelligent
Service (LUIS)Use this service to train a language model that can understand spoken or text-
based commands.
What are the Conversational AI services in Microsoft Azure? - ANS QnA MakerThis cognitive
service enables you to quickly build a knowledge base of questions and answers that can form
the basis of a dialog between a human and an AI agent.Azure Bot ServiceThis service provides a
platform for creating, publishing, and managing bots. Developers can use the Bot Framework to
create a bot and manage it with Azure Bot Service - integrating back-end services like QnA
Maker and LUIS, and connecting to channels for web chat, email, Microsoft Teams, and others.
What is responsible AI? - ANS Artificial Intelligence is a powerful tool that can be used to
greatly benefit the world. However, like any tool, it must be used responsibly.At Microsoft, AI
software development is guided by a set of six principles, designed to ensure that AI
applications provide amazing solutions to difficult problems without any unintended negative
consequences.
What are the six guiding principles of responsible AI? - ANS Fairness: AI systems should treat
all people fairly. For example, suppose you create a machine learning model to support a loan
approval application for a bank. The model should make predictions of whether or not the loan
should be approved without incorporating any bias based on gender, ethnicity, or other factors
that might result in an unfair advantage or disadvantage to specific groups of applicants.
Reliability and safety: AI systems should perform reliably and safely. For example, consider an
AI-based software system for an autonomous vehicle; or a machine learning model that
diagnoses patient symptoms and recommends prescriptions. Unreliability in these kinds of
system can result in substantial risk to human life.
Privacy and security: AI systems should be secure and respect privacy. The machine learning
models on which AI systems are based rely on large volumes of data, which may contain
personal details that must be kept private. Even after the models are trained and the system is
in production, it uses new data to make predictions or take action that may be subject to privacy
or security concerns.
4 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED.
