- A
Natural Language Processing
Why wrong: Incorrect because Natural Language Processing deals with understanding and generating human language (text or speech), not analyzing video images.
- B
Computer Vision
Correct because Computer Vision workloads analyze images and video to detect objects, people, activities, and changes in scenes, which directly matches the requirement of monitoring security feeds.
- C
Speech Recognition
Why wrong: Incorrect because Speech Recognition converts spoken audio into text, which is not relevant for analyzing visual camera feeds.
- D
Anomaly Detection
Why wrong: Incorrect because while anomaly detection can identify unusual patterns, the primary AI workload for analyzing visual data from cameras is Computer Vision, not anomaly detection alone.
Quick Answer
The answer is Computer Vision. This AI workload is best suited for monitoring security cameras to detect empty shelves or intruders because it processes visual data from video feeds using techniques like object detection and image classification to identify the presence or absence of specific items, such as products on a shelf, and to locate unauthorized persons in restricted areas. On the Microsoft Azure AI Fundamentals AI-900 exam, this scenario tests your understanding of how Computer Vision differs from other workloads like Natural Language Processing or Anomaly Detection, which handle text or numerical data rather than visual inputs. A common trap is confusing Computer Vision with Video Indexer, but remember that Computer Vision focuses on real-time frame analysis for tasks like object absence detection. Memory tip: “See the shelf, see the threat—Computer Vision is your best bet.”
AI-900 Practice Question: Describe Artificial Intelligence workloads and considerations
This AI-900 practice question tests your understanding of describe artificial intelligence workloads and considerations. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A retail store wants to use an AI solution to automatically monitor security camera feeds and detect when a shelf is empty or if a person is in a restricted area. Which type of AI workload is best suited for this task?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Computer Vision
Computer Vision is the correct AI workload because it enables the system to analyze video frames from security cameras to detect visual patterns such as empty shelves (object absence) or unauthorized persons in restricted areas (object presence and location). This workload uses image classification, object detection, and semantic segmentation to interpret visual data in real time.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Natural Language Processing
Why it's wrong here
Incorrect because Natural Language Processing deals with understanding and generating human language (text or speech), not analyzing video images.
- ✓
Computer Vision
Why this is correct
Correct because Computer Vision workloads analyze images and video to detect objects, people, activities, and changes in scenes, which directly matches the requirement of monitoring security feeds.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Speech Recognition
Why it's wrong here
Incorrect because Speech Recognition converts spoken audio into text, which is not relevant for analyzing visual camera feeds.
- ✗
Anomaly Detection
Why it's wrong here
Incorrect because while anomaly detection can identify unusual patterns, the primary AI workload for analyzing visual data from cameras is Computer Vision, not anomaly detection alone.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse Anomaly Detection (a technique) with Computer Vision (a workload), thinking that detecting empty shelves is an anomaly, but the core task requires visual image processing, not just statistical outlier detection.
Detailed technical explanation
How to think about this question
Computer Vision workloads often leverage convolutional neural networks (CNNs) for feature extraction from pixel data, with object detection models like YOLO or Faster R-CNN identifying and localizing items or people in each frame. In retail, this can be combined with edge computing to reduce latency, ensuring real-time alerts when a shelf is empty or a person enters a restricted zone without sending all video to the cloud.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this AI-900 question test?
Describe Artificial Intelligence workloads and considerations — This question tests Describe Artificial Intelligence workloads and considerations — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Computer Vision — Computer Vision is the correct AI workload because it enables the system to analyze video frames from security cameras to detect visual patterns such as empty shelves (object absence) or unauthorized persons in restricted areas (object presence and location). This workload uses image classification, object detection, and semantic segmentation to interpret visual data in real time.
What should I do if I get this AI-900 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jun 11, 2026
This AI-900 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-900 exam.
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