This AI-102 practice question tests your understanding of plan and manage an azure ai solution. 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.
Your Azure AI Document Intelligence model is failing to extract tables from scanned PDFs. The PDFs are low-quality images. What should you do first?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "first"
Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
Verify that the Read OCR step is extracting text correctly.
Read OCR is the foundation for table extraction.
Use Azure AI Computer Vision to enhance the image.
Why wrong: Image enhancement is separate from Document Intelligence pipeline.
Retrain the model with more table examples.
Why wrong: Training won't fix poor OCR quality.
Use a higher resolution scanner for input PDFs.
Why wrong: Helpful but not the first diagnostic step.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Verify that the Read OCR step is extracting text correctly.
Option A is correct because the Read OCR step is the foundational layer for table extraction in Azure AI Document Intelligence. If the OCR cannot accurately recognize text from low-quality images, subsequent table extraction models will fail regardless of training or image enhancement. Verifying OCR output first isolates whether the issue is at the text recognition stage or the table parsing stage, following a systematic troubleshooting approach.
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.
Verify that the Read OCR step is extracting text correctly.
Why this is correct
Read OCR is the foundation for table extraction.
Clue confirmation
The clue word "first" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Use Azure AI Computer Vision to enhance the image.
Why it's wrong here
Image enhancement is separate from Document Intelligence pipeline.
Retrain the model with more table examples.
Why it's wrong here
Training won't fix poor OCR quality.
Use a higher resolution scanner for input PDFs.
Why it's wrong here
Helpful but not the first diagnostic step.
Common exam traps
The trap here is that candidates often jump to retraining or image enhancement without realizing that Document Intelligence's table extraction is entirely dependent on the quality of the OCR output, and the first diagnostic step must be to check that foundational layer.
Detailed technical explanation
Azure AI Document Intelligence uses a two-stage pipeline: first, the Read OCR API (based on the latest Read model) extracts text and layout information, then the table extraction model analyzes spatial relationships and cell boundaries. If the OCR confidence scores are low or text is garbled, the table model cannot correctly identify rows and columns. In real-world scenarios, low-quality scans often cause merged characters or missing text, which the table model cannot recover from, making OCR verification the critical first step.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
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FAQ
Plan and manage an Azure AI solution — This question tests Plan and manage an Azure AI solution — Read the scenario before looking for a memorised answer..
The correct answer is: Verify that the Read OCR step is extracting text correctly. — Option A is correct because the Read OCR step is the foundational layer for table extraction in Azure AI Document Intelligence. If the OCR cannot accurately recognize text from low-quality images, subsequent table extraction models will fail regardless of training or image enhancement. Verifying OCR output first isolates whether the issue is at the text recognition stage or the table parsing stage, following a systematic troubleshooting approach.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Yes — watch for: "first". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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