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AIF-C01 Practice Question: Automatically detect and redact personally…

A company wants to automatically detect and redact personally identifiable information (PII) from customer support transcripts. Which TWO AWS services can be used together to achieve this? (Choose two.)

⚠ Common exam trap

Watch out — candidates often confuse Amazon Rekognition (image/video analysis) or Amazon Textract (document OCR) with text-based PII detection, forgetting that the input source is audio transcripts, not images or scanned documents.

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 Comprehend

Amazon Transcribe [CORRECT] is the right service to convert the customer support audio transcripts into text, and it also supports PII redaction directly in its transcription jobs via the ContentRedaction parameter with PII redaction type, which detects and masks sensitive data such as names, addresses, and credit card numbers. Amazon Comprehend [CORRECT] is the natural language processing service that provides PII detection and redaction (using the ContainsPiiEntities API and the PII redaction feature) for text, so it can be used together with Transcribe to automatically identify and redact PII in the resulting transcripts. Amazon Rekognition is for image and video analysis (facial recognition, object detection), not text PII redaction, so it does not fit. Amazon Textract extracts text and data from scanned documents (OCR), which is unnecessary here since the source is support transcripts, not document images. Amazon Polly is a text-to-speech service that converts text into lifelike speech, the opposite of what is needed for detecting and redacting PII in transcripts.

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 Comprehend

    Why this is correct

    Amazon Comprehend provides pre-trained natural language processing that identifies PII entities within text, returning their locations so they can be redacted. Applied to transcripts, it satisfies the detection requirement; a separate service then performs the redaction.

  • ✗

    Amazon Rekognition

    Why it's wrong here

    Rekognition performs image and video analysis such as face and label detection; it cannot parse text transcripts for PII. It is tempting because it offers moderation-style detection, but that applies to visual content, whereas transcript redaction needs Amazon Comprehend plus Amazon Transcribe.

  • ✓

    Amazon Transcribe

    Why this is correct

    Amazon Transcribe converts speech into text using automatic speech recognition, producing the transcripts that downstream PII detection requires. Customer support calls are audio, so transcription is the necessary first step before any text-based redaction can occur.

  • ✗

    Amazon Textract

    Why it's wrong here

    Textract extracts text and forms from documents; it performs no PII detection or redaction, so it cannot identify names or mask transcripts. It is tempting because it processes scanned input, and would fit an OCR pipeline feeding Amazon Comprehend, but the redaction itself requires Comprehend and a separate masking step.

  • ✗

    Amazon Polly

    Why it's wrong here

    Polly converts text into lifelike speech; it neither detects nor redacts PII in transcripts. It is tempting because it is a common companion service in transcription pipelines, but it sits downstream of speech synthesis, whereas Comprehend performs PII detection and Transcribe produces the transcript.

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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.