AI-102 Implement computer vision solutions Practice Question

Answer analysis

Option-by-option breakdown

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

• ✗

  Azure AI Document Intelligence with a custom model

  Why it's wrong here

  A custom Document Intelligence model must be trained on your own labelled samples and is built for extracting fields from specific form layouts, not general handwriting transcription. It is tempting because Document Intelligence reads handwriting, but the pre-built read model, not a custom model, covers English and Spanish notes.

• ✓

  Azure AI Vision Read API (OCR)

  Why this is correct

  Azure AI Vision's Read API performs optical character recognition on images, extracting handwritten and printed text. It supports multiple languages including English and Spanish, and is a pre-built service, meeting the university's requirements without custom model training.

• ✗

  Azure AI Language with custom entity recognition

  Why it's wrong here

  Azure AI Language with custom entity recognition extracts named entities from existing text; it does not convert images of handwriting into text. It is tempting because it is a pre-built, multilingual Azure AI service, but it consumes text input, so it cannot perform the optical recognition step the scenario requires.

• ✗

  Custom Vision with a custom handwriting recognition model

  Why it's wrong here

  Custom Vision performs image classification and object detection; it cannot transcribe handwriting into text at all. It is tempting because it is a pre-built Azure AI vision service and the word custom suggests tailoring to handwriting, but training it yields labels or bounding boxes, not recognised characters.

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