hardMultiple Choice
AIF-C01 Practice Question: A financial services firm must extract text from…
A financial services firm must extract text from scanned loan application forms to automate data entry. The forms are in various languages. Which combination of AWS AI services should be used?
⚠ Common exam trap
AWS often tests the distinction between OCR-based extraction (Textract) and image analysis (Rekognition), leading candidates to mistakenly choose Rekognition for document text extraction when it is designed for object/face detection, not form data extraction.
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 and Amazon Translate
Amazon Textract is designed to extract text and data from scanned documents, including forms, using OCR (Optical Character Recognition). Amazon Translate then converts the extracted text from various languages into a target language, enabling automated data entry across multilingual loan applications. Together, they directly address the requirement of extracting text from scanned forms in multiple languages.
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 and Amazon Polly
Why it's wrong here
Transcribe converts speech audio into text and Polly synthesises speech from text; neither reads characters from scanned images. It is tempting because both are language services, and the pairing would be correct when the requirement is transcribing call recordings or generating spoken output rather than digitising printed forms.
- ✗
Amazon Kendra and Amazon Lex
Why it's wrong here
Kendra indexes and searches existing document repositories, while Lex builds conversational chatbots; neither performs optical character recognition on scanned forms. It is tempting because both are document-and-language services, and the pairing would be correct when the requirement is searching an indexed corpus or powering a conversational interface instead of extracting text.
- ✓
Amazon Textract and Amazon Translate
Why this is correct
Amazon Textract uses OCR to extract text and form data from scanned documents, while Amazon Translate handles the multilingual requirement by translating the extracted content. Together they satisfy both the scanned-form extraction and varied-language constraints.
- ✗
Amazon Rekognition and Amazon Comprehend
Why it's wrong here
Rekognition detects objects, faces and scenes in images rather than reading printed characters, and Comprehend analyses text that has already been extracted. It is tempting because both are image-and-text AI services, and the pairing would be correct when the requirement is classifying images or deriving sentiment and entities from existing text.
Go deeper
Related to this question
About these practice questions
This AIF-C01 question is part of Courseiva's 862-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.