- A
A tool that compresses videos to reduce storage costs in Azure Blob Storage
Why wrong: Video compression is storage optimisation — Video Indexer analyses video content to extract rich searchable metadata.
- B
A service that extracts transcripts, faces, speakers, topics, and scenes from video content
Video Indexer applies multiple AI models to video — producing searchable insights including who speaks, what appears, and what topics are discussed.
- C
A database index that speeds up queries on video metadata tables
Why wrong: Database indexing is a query optimisation — Video Indexer is an AI service that creates rich metadata from video content.
- D
A tool for creating video presentations from a series of images and text
Why wrong: Video creation from images is a media authoring tool — Video Indexer analyses existing video to extract AI-powered insights.
AI-900 Practice Question: Describe features of computer vision workloads on Azure
This AI-900 practice question tests your understanding of describe features of computer vision workloads on azure. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
What is 'video indexer' (Azure Video Indexer) and what insights does it extract?
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
A service that extracts transcripts, faces, speakers, topics, and scenes from video content
Azure Video Indexer is a cloud-based service that uses AI to analyze video and audio content. It extracts rich insights such as transcripts (speech-to-text), identified faces, speaker diarization, topics, scenes, and even sentiment, making it a comprehensive media intelligence tool rather than a storage or indexing utility.
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.
- ✗
A tool that compresses videos to reduce storage costs in Azure Blob Storage
Why it's wrong here
Video compression is storage optimisation — Video Indexer analyses video content to extract rich searchable metadata.
- ✓
A service that extracts transcripts, faces, speakers, topics, and scenes from video content
Why this is correct
Video Indexer applies multiple AI models to video — producing searchable insights including who speaks, what appears, and what topics are discussed.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
A database index that speeds up queries on video metadata tables
Why it's wrong here
Database indexing is a query optimisation — Video Indexer is an AI service that creates rich metadata from video content.
- ✗
A tool for creating video presentations from a series of images and text
Why it's wrong here
Video creation from images is a media authoring tool — Video Indexer analyses existing video to extract AI-powered insights.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse Azure Video Indexer with a storage or database optimization tool, because the word 'indexer' misleadingly suggests indexing for performance, whereas it is actually an AI-based video analysis service for extracting metadata and insights.
Detailed technical explanation
How to think about this question
Under the hood, Azure Video Indexer leverages pre-built AI models from Azure Cognitive Services, including Computer Vision for facial detection and Custom Vision for scene labeling, and Speech Services for transcription and speaker identification. It outputs a structured JSON with timestamps for each insight, enabling developers to build searchable video libraries or generate automated captions. A real-world scenario is a media company indexing thousands of hours of news footage to quickly locate clips where a specific politician appears or a topic is discussed.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
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FAQ
Questions learners often ask
What does this AI-900 question test?
Describe features of computer vision workloads on Azure — This question tests Describe features of computer vision workloads on Azure — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: A service that extracts transcripts, faces, speakers, topics, and scenes from video content — Azure Video Indexer is a cloud-based service that uses AI to analyze video and audio content. It extracts rich insights such as transcripts (speech-to-text), identified faces, speaker diarization, topics, scenes, and even sentiment, making it a comprehensive media intelligence tool rather than a storage or indexing utility.
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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
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