- A
Amazon Transcribe
Why wrong: Transcribe converts speech to text, not document text extraction.
- B
Amazon Textract
Textract is specifically designed to extract text and data from scanned documents.
- C
Amazon Comprehend
Why wrong: Comprehend performs natural language processing on text, not extraction from scanned documents.
- D
Amazon Rekognition
Why wrong: Rekognition is for image and video analysis, not document text extraction.
Question 381 of 1,000
AIF-C01 AI and ML Fundamentals Practice Question
This AIF-C01 practice question tests your understanding of ai and ml fundamentals. 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.
Which AWS service can be used to extract text and data from scanned documents such as invoices and receipts?
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
✓
Amazon Textract
Amazon Textract is a machine learning service specifically designed to extract text, handwriting, and structured data (like tables and forms) from scanned documents. It goes beyond simple optical character recognition (OCR) by using ML models to understand the layout and relationships within documents, making it ideal for processing invoices and receipts.
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.
- ✗
Amazon Transcribe
Why it's wrong here
Transcribe converts speech to text, not document text extraction.
- ✓
Amazon Textract
Why this is correct
Textract is specifically designed to extract text and data from scanned documents.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon Comprehend
Why it's wrong here
Comprehend performs natural language processing on text, not extraction from scanned documents.
- ✗
Amazon Rekognition
Why it's wrong here
Rekognition is for image and video analysis, not document text extraction.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse Amazon Rekognition's ability to detect text in images with the specialized document extraction capabilities of Amazon Textract, but Rekognition lacks the structured data extraction and layout analysis needed for invoices and receipts.
Detailed technical explanation
How to think about this question
Amazon Textract uses deep learning models trained on millions of document samples to perform both OCR and document layout analysis. It can identify key-value pairs (e.g., 'Invoice Number: 12345') and table structures, outputting the data in a structured JSON format with bounding box coordinates. In a real-world scenario, a company processing thousands of receipts daily can use Textract with AWS Step Functions to automate data extraction and feed it into a database, reducing manual data entry errors.
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
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
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this AIF-C01 question test?
AI and ML Fundamentals — This question tests AI and ML Fundamentals — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Amazon Textract — Amazon Textract is a machine learning service specifically designed to extract text, handwriting, and structured data (like tables and forms) from scanned documents. It goes beyond simple optical character recognition (OCR) by using ML models to understand the layout and relationships within documents, making it ideal for processing invoices and receipts.
What should I do if I get this AIF-C01 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
This AIF-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AIF-C01 exam.
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