Question 1easymultiple choice
Full question →easymultiple choiceObjective-mapped
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?
Answer choices
Why each option matters
Good practice is not just finding the correct option. The wrong answers often show the exact trap the exam wants you to fall into.
A
Distractor review
Natural Language Processing
Incorrect because Natural Language Processing deals with understanding and generating human language (text or speech), not analyzing video images.
B
Best answer
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
Distractor review
Speech Recognition
Incorrect because Speech Recognition converts spoken audio into text, which is not relevant for analyzing visual camera feeds.
D
Distractor review
Anomaly Detection
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 trap
Common exam trap: OSPF can fail even when IP connectivity looks correct
OSPF neighbour formation depends on matching areas, timers, network type, authentication and passive-interface behaviour. Do not choose an answer only because the devices can ping.
Technical deep dive
How to think about this question
OSPF questions usually test the details that control adjacency and route selection. Read the neighbour state, area, router ID and interface configuration before deciding what is wrong.
KKey Concepts to Remember
- OSPF neighbours must agree on key parameters.
- Router ID selection can affect neighbour relationships and LSDB output.
- OSPF cost influences the preferred path.
- A route can appear in OSPF information but not become the installed route.
TExam Day Tips
- Check area mismatch first when OSPF adjacency fails.
- Review passive interfaces when a network is advertised but no neighbour forms.
- Use show ip ospf neighbor and show ip route clues carefully.
Related practice questions
Related AI-900 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
More questions from this exam
Keep practising from the same exam bank, or move into a focused topic page if this question exposed a weak area.
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FAQ
Questions learners often ask
What does this AI-900 question test?
OSPF neighbours must agree on key parameters.
What is the correct answer to this question?
The correct answer is: Computer Vision — The scenario involves analyzing video feeds to identify objects (empty shelf, person) and their locations, which is a computer vision task. Computer Vision AI workloads are designed to extract meaning from visual data such as images and videos.
What should I do if I get this AI-900 question wrong?
Then try more questions from the same exam bank and focus on understanding why the wrong options are tempting.
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