AI-102 Implement computer vision solutions Practice Question
A developer is building an application to extract text from scanned invoices using Azure Computer Vision's Read API. The invoices contain a mix of printed and handwritten text. The developer needs to ensure the highest accuracy for both types. Which parameter should they set in the API call?
⚠ Common exam trap
Test-takers frequently confuse the Read API with the older OCR API, which had a 'mode' parameter for handwriting, leading them to incorrectly assume a similar parameter is needed in the Read API.
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
✓
No special parameter; the Read API automatically handles both.
The Read API in Azure Computer Vision is designed to extract text from images and documents, and it automatically handles both printed and handwritten text without requiring any special parameter. Setting the 'language' parameter to 'en' is optional and only improves accuracy for language-specific text, but it does not enable or disable handwriting recognition. Therefore, no additional parameter is needed to achieve the highest accuracy for both types.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Set the 'language' parameter to 'en' for English handwriting.
Why it's wrong here
Language parameter does not differentiate between printed and handwritten.
- ✓
No special parameter; the Read API automatically handles both.
Why this is correct
Read API OCR works on both printed and handwritten text without additional parameters.
- ✗
Specify the 'model-version' as '2022-04-30'
Why it's wrong here
Model version does not affect the type of text processed.
- ✗
Use the 'mode' parameter set to 'Handwriting'
Why it's wrong here
Read API does not have a mode parameter for handwriting.
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