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AI-900 Practice Question: Describe features of computer vision workloads on Azure

What does the 'read' operation in Azure AI Vision do?

⚠ Common exam trap

A common mix-up: candidates confuse the 'read' operation with the 'analyze image' operation (which describes images) or assume it handles video, but the 'read' API is strictly for text extraction from static images and documents.

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

Extracts printed and handwritten text from images and documents

The 'read' operation in Azure AI Vision is specifically designed to extract printed and handwritten text from images and documents using Optical Character Recognition (OCR) technology. It returns the detected text along with bounding box coordinates and confidence scores, making it suitable for digitizing documents, processing forms, and extracting text from photos.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Reads and describes what's happening in a video

    Why it's wrong here

    Describing what is happening in a video requires temporal understanding across frames, such as object motion, scene transitions, and event recognition, which is handled by services like Azure Video Indexer. The Read API processes static images or single document pages and has no capability to ingest video streams or track objects over time. Therefore, this option attributes video analytics functionality to an OCR service that simply extracts text from still images.

  • Extracts printed and handwritten text from images and documents

    Why this is correct

    The Read API (OCR) is designed to extract both printed and handwritten text from a variety of sources, including JPEG images, PDFs, and other document formats. It leverages deep learning models to identify words, lines, and their spatial coordinates, returning text content along with confidence scores and bounding boxes. This precisely matches the core purpose of the Read operation, making it the correct answer here.

  • Reads and verifies digital signatures in documents

    Why it's wrong here

    Digital signature verification is a cryptographic security operation that checks the authenticity and integrity of a signed document using public-key algorithms. The Azure AI Vision Read API, by contrast, performs optical character recognition (OCR) to extract visible text from images and PDFs. It does not interpret hashes, keys, or signature fields, so this option mischaracterizes the Read operation's role as a security verifier rather than a text extraction tool.

  • Reads metadata (EXIF data) embedded in image files

    Why it's wrong here

    EXIF metadata is stored in the file's header data, such as camera settings, date, and GPS, and is not rendered as visible characters on the page or image. The Read API analyzes pixel patterns to recognize human-readable text, not the non-visual metadata embedded in the file format. Extracting EXIF would require a dedicated metadata parser, not an OCR engine, so this option confuses invisible file attributes with the text content that Read actually processes.

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