Which File Format Trains an Azure AI Video Indexer Language Model?
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?
Community Votes
100% of anonymous learners picked answer B. Votes are pick records left by other test-takers — they are not the verified answer.
Community Insight
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.
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.
Community Discussion (6 comments)
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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
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.