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AIF-C01 Practice Question: An AWS AI practitioner is designing a document…
An AWS AI practitioner is designing a document processing pipeline using Amazon Textract and Amazon Comprehend. The pipeline must extract text from PDFs, detect entities, and classify documents into categories (e.g., invoice, contract, report). Which THREE steps should be included in the pipeline? (Choose three.)
⚠ Common exam trap
Watch out — candidates often confuse Amazon Personalize (a recommendation engine) with Amazon Comprehend (a natural language processing service) for classification tasks, and assuming Amazon Rekognition can extract text from PDFs when that is the role of Amazon Textract.
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
✓
Use Amazon Comprehend to train a custom classifier for document type
Amazon Comprehend allows you to train a custom classifier using your own labeled data to categorize documents into types like invoice, contract, or report. This is essential for the pipeline's classification step, as it enables the system to automatically assign a document category based on the extracted text.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use Amazon Comprehend to train a custom classifier for document type
Why this is correct
Comprehend allows training custom classifiers for document categorization.
- ✗
Use Amazon Personalize to recommend document categories
Why it's wrong here
Personalize is for recommendation systems, not document classification.
- ✓
Use Amazon Textract to extract text from the PDF
Why this is correct
Textract extracts text and data from documents.
- ✓
Use Amazon Comprehend to detect entities such as dates and amounts
Why this is correct
Comprehend's entity detection identifies predefined entity types.
- ✗
Use Amazon Rekognition to analyze images in the PDF
Why it's wrong here
Rekognition is not necessary for text-based classification; Textract handles the document.
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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.