Exam AI-102 topic 2 question 21 discussion

To ensure that queries can be performed on the contents of the letters, the skill that should be included in the indexer is optical character recognition (OCR). Option B, optical character recognition (OCR), is a technology that can recognize text within an image and convert it into machine-readable text. This skill will enable the search engine to read the handwritten letters and convert them into searchable text that can be indexed by Azure Cognitive Search. Option A, image analysis, is a useful skill for analyzing images to extract metadata, but it does not directly enable text recognition. Option C, key phrase extraction, extracts important phrases and concepts from text, but it requires the text to be already recognized and extracted by OCR or other text extraction techniques. Option D, document extraction, is a skill that extracts specific pieces of information from documents, but it does not address the challenge of recognizing and extracting text from handwritten letters.

OCR is specifically designed to extract text from images, including handwritten text from JPEG files. This will allow the contents of the handwritten letters to be indexed and made searchable. Answer is B

Image Analysis includes OCR capabilities inside. https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/overview-image-analysis?tabs=4-0#analyze-image

I say this answer is B. Please hurry up and transport the meat.

OCR is the correct answer.

Why OCR?

OCR to extract the text and then create an indexer on the text extracted

provided answer is correct. OCR to scan handwritten documents

B is the answer. https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-ocr The Optical character recognition (OCR) skill recognizes printed and handwritten text in image files.

Therefore, option B, optical character recognition (OCR), is the most suitable skill to include in the indexer for indexing the contents of handwritten letters and making them searchable.