Quick Answer
The answer is to switch to the Read API for OCR. This is correct because the Read API is specifically optimized for extracting text from images containing both printed and handwritten content, using advanced deep-learning models that handle varied handwriting styles and poor lighting conditions far better than the Analyze Image API, which is designed for general scene analysis rather than dense text extraction. On the AI-102 exam, this question tests your understanding of which Azure AI Vision service to apply based on the input type—a common trap is confusing the Read API with Document Intelligence, but remember that Document Intelligence targets structured forms and invoices, not freeform handwritten labels. The key distinction is that the Read API is a dedicated OCR engine for images with text, while Analyze Image treats text as just one of many visual features. A helpful memory tip: “Read” rhymes with “lead” as in leading text accuracy, so when handwriting is the problem, let the Read API take the lead.
This AI-102 practice question tests your understanding of implement computer vision solutions. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company uses Azure AI Vision to analyze product images in an e-commerce application. The solution uses the Analyze Image API with OCR. Recently, the OCR accuracy has decreased for images with handwritten text on product labels. What should the team do to improve accuracy?
Enable OCR in the Analyze Image API configuration.
Why wrong: OCR is already enabled; the API itself is less accurate for handwriting.
Use Azure AI Document Intelligence prebuilt receipt model.
Why wrong: This is for structured documents, not general images.
Switch to the Read API for OCR.
The Read API is better for handwritten text.
Retrain the OCR model with additional handwritten samples.
Why wrong: Prebuilt models cannot be retrained.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Switch to the Read API for OCR.
Option B is correct because the Read API is optimized for images with text, including handwritten text, and offers better accuracy than the Analyze Image API for OCR. Option A is wrong because Azure AI Document Intelligence (formerly Form Recognizer) is designed for structured documents. Option C is wrong because OCR is already enabled; the issue is using the wrong API. Option D is wrong because adding more training data does not apply to the prebuilt OCR model.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Enable OCR in the Analyze Image API configuration.
Why it's wrong here
OCR is already enabled; the API itself is less accurate for handwriting.
Use Azure AI Document Intelligence prebuilt receipt model.
Why it's wrong here
This is for structured documents, not general images.
Switch to the Read API for OCR.
Why this is correct
The Read API is better for handwritten text.
Related concept
Read the scenario before looking for a memorised answer.
Retrain the OCR model with additional handwritten samples.
Why it's wrong here
Prebuilt models cannot be retrained.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Implement computer vision solutions — This question tests Implement computer vision solutions — Read the scenario before looking for a memorised answer..
The correct answer is: Switch to the Read API for OCR. — Option B is correct because the Read API is optimized for images with text, including handwritten text, and offers better accuracy than the Analyze Image API for OCR. Option A is wrong because Azure AI Document Intelligence (formerly Form Recognizer) is designed for structured documents. Option C is wrong because OCR is already enabled; the issue is using the wrong API. Option D is wrong because adding more training data does not apply to the prebuilt OCR model.
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 2026
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