Extract Information with Azure Content Understanding in Foundry Tools AI-102 Practice Questions (Page 10)

Questions 46–47

1. 46application · medium

   A media company ingests video files of press conferences and needs to extract key points from the spoken content and also generate a transcript. They plan to use Azure Content Understanding in Foundry Tools. What should they do?

   • ACreate a content processing pipeline that ingests the video, performs speech-to-text to generate a transcript, and then applies summarization to extract key points.
   • BUse an OCR pipeline to extract text from the video frames and then summarize that text.
   • CUse a document classification pipeline to categorize the video and then rely on the category to provide key points.
   • DUse an image extraction pipeline to extract key frames and then manually transcribe the audio.
   Reveal Solution Discussion Select an answer first
2. 47application · medium

   A manufacturing company receives inspection reports that include a table of defect codes and a section for the inspector's name and the date of inspection. They need to extract the inspector's name, the date, and the list of defect codes from the table. The reports are in PDF. What should they use in Azure Content Understanding?

   • AAn entity extraction pipeline that extracts all names and dates and then manually matches them to the inspector and date.
   • BA custom field extraction pipeline with fields for inspector name and date, and a table field for defect codes, with OCR enabled.
   • CA summarization pipeline that summarizes the report and includes the inspector name and defect codes.
   • DA document classification pipeline that categorizes the report as an inspection report and then uses the category to find the defect codes.
   Reveal Solution Discussion Select an answer first