AI-900 AI FUNDAMENTALS PRACTICE EXAM 1:
COMPREHENSIVE PRACTICE EXAMINATION STUDY
GUIDE | LATEST UPDATE 2026/2027 | ACTUAL EXAM
A+ GRADED.
UNIT 1 – FUNDAMENTAL AI CONCEPTS AND WORKLOADS
1. A company wants to develop an application that analyzes customer
feedback to determine whether the sentiment expressed is positive,
negative, or neutral. Which AI workload is this?
A) Computer vision
B) Natural language processing (NLP)
C) Anomaly detection
D) Predictive maintenance
Correct Answer: B
Rationale: Sentiment analysis is a core capability of Natural Language
Processing (NLP). It involves analyzing text data to understand the
emotional tone behind the words.
2. A company wants to automatically generate captions for live video
streams. Which AI workload is this?
A) Natural Language Processing (NLP) only
B) Computer Vision + Speech-to-Text
C) Anomaly Detection
D) Predictive Maintenance
Correct Answer: B
Rationale: Live captions combine computer vision (analyzing visual
context and lip movement) and speech-to-text (transcribing audio). This
,is a multi-modal AI workload that integrates vision and language
capabilities.
3. A marketing team at a retailer wants to predict customer churn
using historical purchase data. Which AI workload is this?
A) Natural Language Processing (NLP)
B) Computer Vision
C) Machine Learning (Predictive)
D) Generative AI
Correct Answer: C
Rationale: Predicting customer churn is a classic predictive machine
learning scenario. The team uses historical data to train a model that
can predict future behavior, which is the core of ML.
4. Which of the following is NOT a key workload in AI?
A) Machine learning
B) Natural language processing
C) Data science
D) Computer vision
Correct Answer: C
Rationale: While data science is a related field that enables AI, the key
workloads in AI are machine learning, computer vision, natural
language processing, and generative AI.
5. A manufacturing team collects vibration and temperature readings
from equipment. They want to predict whether a machine is likely to
fail soon so maintenance can be scheduled before downtime occurs.
Which AI workload category best fits the requirement?
A) Translation, because readings must be converted into another
language
, B) Predictive machine learning, because historical measurements can be
used to estimate future failure risk
C) Computer vision, because the system is monitoring physical
machines
D) Generative AI, because the system should create maintenance
instructions from scratch
Correct Answer: B
Rationale: The requirement is prediction from historical and current
measurements. At AI-900 depth, that points to a machine learning
scenario such as predictive maintenance rather than a language, vision,
or content-generation workload.
6. What area of AI deals with visual processing?
A) Natural language processing
B) Robotics
C) Computer vision
D) Machine learning
Correct Answer: C
Rationale: Computer vision is the area of AI that deals with enabling
computers to interpret and understand visual information from the
world, such as images and videos.
7. Which Azure AI service would you use to extract insights from
videos, including faces, text, sentiments, and labels?
A) Azure AI Video Indexer
B) Azure Speech-to-Text
C) Azure AI Document Intelligence
D) Azure Media Analytics
COMPREHENSIVE PRACTICE EXAMINATION STUDY
GUIDE | LATEST UPDATE 2026/2027 | ACTUAL EXAM
A+ GRADED.
UNIT 1 – FUNDAMENTAL AI CONCEPTS AND WORKLOADS
1. A company wants to develop an application that analyzes customer
feedback to determine whether the sentiment expressed is positive,
negative, or neutral. Which AI workload is this?
A) Computer vision
B) Natural language processing (NLP)
C) Anomaly detection
D) Predictive maintenance
Correct Answer: B
Rationale: Sentiment analysis is a core capability of Natural Language
Processing (NLP). It involves analyzing text data to understand the
emotional tone behind the words.
2. A company wants to automatically generate captions for live video
streams. Which AI workload is this?
A) Natural Language Processing (NLP) only
B) Computer Vision + Speech-to-Text
C) Anomaly Detection
D) Predictive Maintenance
Correct Answer: B
Rationale: Live captions combine computer vision (analyzing visual
context and lip movement) and speech-to-text (transcribing audio). This
,is a multi-modal AI workload that integrates vision and language
capabilities.
3. A marketing team at a retailer wants to predict customer churn
using historical purchase data. Which AI workload is this?
A) Natural Language Processing (NLP)
B) Computer Vision
C) Machine Learning (Predictive)
D) Generative AI
Correct Answer: C
Rationale: Predicting customer churn is a classic predictive machine
learning scenario. The team uses historical data to train a model that
can predict future behavior, which is the core of ML.
4. Which of the following is NOT a key workload in AI?
A) Machine learning
B) Natural language processing
C) Data science
D) Computer vision
Correct Answer: C
Rationale: While data science is a related field that enables AI, the key
workloads in AI are machine learning, computer vision, natural
language processing, and generative AI.
5. A manufacturing team collects vibration and temperature readings
from equipment. They want to predict whether a machine is likely to
fail soon so maintenance can be scheduled before downtime occurs.
Which AI workload category best fits the requirement?
A) Translation, because readings must be converted into another
language
, B) Predictive machine learning, because historical measurements can be
used to estimate future failure risk
C) Computer vision, because the system is monitoring physical
machines
D) Generative AI, because the system should create maintenance
instructions from scratch
Correct Answer: B
Rationale: The requirement is prediction from historical and current
measurements. At AI-900 depth, that points to a machine learning
scenario such as predictive maintenance rather than a language, vision,
or content-generation workload.
6. What area of AI deals with visual processing?
A) Natural language processing
B) Robotics
C) Computer vision
D) Machine learning
Correct Answer: C
Rationale: Computer vision is the area of AI that deals with enabling
computers to interpret and understand visual information from the
world, such as images and videos.
7. Which Azure AI service would you use to extract insights from
videos, including faces, text, sentiments, and labels?
A) Azure AI Video Indexer
B) Azure Speech-to-Text
C) Azure AI Document Intelligence
D) Azure Media Analytics
