- A
Azure AI Computer Vision Read API and Azure AI Language
Read API extracts text, Language Service extracts entities.
- B
Azure AI Custom Vision and Azure AI Language
Why wrong: Custom Vision is for classification, not OCR.
- C
Azure AI Document Intelligence and Azure AI Language
Why wrong: Document Intelligence is for structured forms, not free-text prescriptions.
- D
Azure AI Video Indexer and Azure AI Language
Why wrong: Video Indexer is for video, not images.
Question 824 of 993
How to Extract Drug Names and Dosages from Handwritten Prescriptions
This AI-102 practice question tests your understanding of implement computer vision solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
You are building a solution to analyze images of handwritten medical prescriptions. The text is in English and includes drug names and dosages. Which combination of Azure AI services should you use?
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
✓
Azure AI Computer Vision Read API and Azure AI Language
The Azure AI Computer Vision Read API (part of the Image Analysis service) extracts printed and handwritten text from images, including medical prescriptions. Azure AI Language then provides entity recognition to identify drug names and dosages from the extracted text. This combination directly addresses the requirement of analyzing handwritten images and extracting structured medical information.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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 Computer Vision Read API and Azure AI Language
Why this is correct
Read API extracts text, Language Service extracts entities.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure AI Custom Vision and Azure AI Language
Why it's wrong here
Custom Vision is for classification, not OCR.
- ✗
Azure AI Document Intelligence and Azure AI Language
Why it's wrong here
Document Intelligence is for structured forms, not free-text prescriptions.
- ✗
Azure AI Video Indexer and Azure AI Language
Why it's wrong here
Video Indexer is for video, not images.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure AI Document Intelligence (Form Recognizer) with general OCR capabilities, assuming it can handle any text extraction from images, but it is specifically designed for structured documents and lacks the handwritten text recognition strength of the Computer Vision Read API.
Detailed technical explanation
How to think about this question
The Computer Vision Read API uses an OCR engine that supports both printed and handwritten text in multiple languages, including English, and returns bounding boxes and confidence scores. Azure AI Language's Named Entity Recognition (NER) can be customized with a custom entity extraction model to specifically identify drug names and dosages, leveraging the text output from the Read API. In a real-world scenario, you would chain these services: first call the Read API to get the text, then pass that text to Azure AI Language for entity extraction, enabling automated prescription processing.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
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
Questions learners often ask
What does this AI-102 question test?
Implement computer vision solutions — This question tests Implement computer vision solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Azure AI Computer Vision Read API and Azure AI Language — The Azure AI Computer Vision Read API (part of the Image Analysis service) extracts printed and handwritten text from images, including medical prescriptions. Azure AI Language then provides entity recognition to identify drug names and dosages from the extracted text. This combination directly addresses the requirement of analyzing handwritten images and extracting structured medical information.
What should I do if I get this AI-102 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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