Which File Format Trains an Azure AI Video Indexer Language Model?

AI-102 By islever Editorial Last updated

Analyze videos

Short answer

B Upload a plain TXT file to train the Azure AI Video Indexer custom language model on industry-specific terms.

Question

You are building an app that will use the Azure AI Video Indexer service. You plan to train a language model to recognize industry-specific terms. You need to upload a file that contains the industry-specific terms. Which file format should you use?
  1. XML
  2. TXT Correct Answer
  3. XLS
  4. PDF

Key Takeaways

The question tests the accepted file format for Azure AI Video Indexer custom language model training; the trap is assuming a structured or document format like XLS or PDF is needed for a vocabulary list.

Azure AI Video Indexer's custom language model is trained by uploading a plain text (.txt) file containing industry-specific terms. This page confirms TXT is the required format and explains why XML, XLS, and PDF are invalid.

Common mistake: Many learners pick XLS because industry-specific term lists are often kept in spreadsheets, but Video Indexer only accepts plain text files for custom language model uploads.

Expert Analysis

Why the Answer Is Correct

Azure AI Video Indexer's customize-language-model feature accepts plain text (.txt) files to train a custom language model on industry-specific terms. When you create a language model in the Video Indexer website, the upload step explicitly supports text files, and the model adjusts speech recognition to better recognize your vocabulary. The Microsoft Learn page cited by audlindr ("customize-language-model-with-website") shows the option to upload text files to the model. As Architect_CTO noted, the file can contain a simple word list or, for better results, the relevant words "included naturally in sentences and paragraphs." Therefore B is the only valid format.

Why the Other Options Are Wrong

XML (A) is a structured markup format, and Video Indexer does not parse XML vocabulary files for custom language model training. XLS (C) is a spreadsheet format often used to organize term lists, but the service cannot consume it for language model customization. PDF (D) is a binary document format that also lacks support in the upload step. Only plain TXT files are accepted, so A, C, and D would fail.

Community Comment Notes

All visible voters chose B, including syupwsh who explained that Video Indexer "supports uploading custom vocabulary files in plain text format." audlindr provided the exact Microsoft Learn documentation link, confirming the upload of text files. Architect_CTO added practical guidance that full sentences or paragraphs produce better recognition results than a bare word list. No commenter argued for XML, XLS, or PDF.

Official Reference

https://learn.microsoft.com/en-us/azure/azure-video-indexer/customize-language-model-with-website

This link opens the official vendor documentation in a new tab.

Exam Strategy

Memorize that Azure AI Video Indexer's custom language model uses .txt uploads, not spreadsheets or document formats. When a question mentions uploading a file with terms, look for TXT as the only supported option.

Frequently Asked Questions

Can I upload an XLS or CSV vocabulary file to Azure AI Video Indexer?

No. The custom language model accepts plain text (.txt) files containing the terms, either as a list or in full sentences.

Why is PDF not accepted for Video Indexer language model training?

Video Indexer's upload step only supports text files; PDF, XML, and XLS are not valid formats for customizing the language model.

More AI-102 FAQ →

Community Votes

B
100%

100% of anonymous learners picked answer B. Votes are pick records left by other test-takers — they are not the verified answer.

Discussion 6 contributions

Compiled from public community threads and reader submissions, lightly edited for clarity. Handles and vote tallies are shown as recorded, and comments reflect the views of individual contributors.

From public community threads 6

  1. audlindr 👍 10 Answered B
    Answer is correct: As per https://learn.microsoft.com/en-us/azure/azure-video-indexer/customize-language-model-with-website This step creates the model and gives the option to upload text files to the model.
  2. syupwsh 👍 3 Answered B
    TXT because Azure AI Video Indexer supports uploading custom vocabulary files in plain text format for training language models to recognize industry-specific terms. This format is simple and widely used for such purposes. B is the answer
  3. Architect_CTO 👍 1 Answered B
    Upload text file(s) to train the language model. The file can either contain a list of words as you would like them to appear in the Video Indexer transcript or the relevant words included naturally in sentences and paragraphs. As better results are achieved with the latter approach, it's recommended for the upload file to contain full sentences or paragraphs related to your content.
  4. pepe54362 👍 1 Answered B
    I agree, B is the option
  5. takaimomoGcup 👍 1 Answered B
    B is correct.
Show 1 more comment
  1. reiwanotora 👍 1 Answered B
    B is right.

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