AI-900 Practice Question: Describe features of computer vision workloads on Azure
What is the purpose of Azure AI Video Indexer's transcript feature?
⚠ Common exam trap
Candidates often confuse the transcript feature (speech-to-text) with the OCR feature (on-screen text extraction) or with translation, because all three involve 'text' but serve fundamentally different purposes in Video Indexer's pipeline.
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
✓
To automatically convert speech in videos to searchable text with timestamps
Azure AI Video Indexer's transcript feature uses automatic speech recognition (ASR) to convert spoken audio in videos into a text transcript, which is then indexed with precise timestamps for each word or phrase. This enables users to search, navigate, and analyze video content by keyword or phrase, making the video's audio content fully searchable and accessible.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
To translate video subtitles into multiple languages
Why it's wrong here
Translating subtitles into multiple languages requires machine translation applied to an existing subtitle or transcript, which is a separate capability in Video Indexer (e.g., translating the transcript). The transcript feature itself operates only in the original language of the video's speech, generating a verbatim text representation without any language conversion. Thus, it does not handle translation.
- ✓
To automatically convert speech in videos to searchable text with timestamps
Why this is correct
The transcript feature in Azure Video Indexer uses automatic speech recognition (ASR) to convert spoken words in the video's audio track into text, with each segment assigned a precise timestamp. This text is stored as a searchable index, enabling users to locate specific moments by keyword or phrase. This is the core purpose of the transcript capability.
- ✗
To generate written scripts for producing new videos
Why it's wrong here
Generating written scripts for new videos is a content-production workflow where you draft dialogue or narration before filming. Video Indexer is an analysis service for existing media, and its transcript feature transcribes the speech already present in the uploaded video. It cannot invent or write scripts for content that has not been created yet.
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To extract text visible in video frames (on-screen text)
Why it's wrong here
On-screen text extraction relies on optical character recognition (OCR) applied to individual video frames, which detects visible subtitles, signs, or graphics. The transcript feature, by contrast, performs speech-to-text on the audio track and does not analyze pixels. Therefore, while Video Indexer may offer OCR as a separate insight, it is not what the transcript capability does.
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Azure Machine Learning Studio
Key term
Indexer
An indexer is a software component that processes content and builds a searchable index so that users can quickly find documents, data, or files based on keywords or phrases.
Key term
Feature
A feature is a distinct unit of functionality that delivers value to the user, often managed and tracked throughout the software development lifecycle.
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