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AIF-C01 Practice Question: Use Amazon Bedrock to translate customer emails…
A company wants to use Amazon Bedrock to translate customer emails from English to Spanish. The emails contain occasional personal names and addresses. Which Guardrail configuration should be applied to protect customer privacy?
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
✓
PII detection
PII detection in Bedrock Guardrails can identify and redact personally identifiable information such as names and addresses. Content filtering, topic denial, and grounding check do not specifically target PII.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Grounding check
Why it's wrong here
Grounding checks verify model responses against a supplied reference source to reduce hallucination; they do not detect or anonymise personal data. Grounding would be correct when answers must be factually anchored to retrieved documents, not for masking names and addresses in translation output.
- ✓
PII detection
Why this is correct
PII detection identifies and redacts personal names and addresses in the email content before translation, satisfying the privacy requirement. It is the only guardrail filter that targets personally identifiable information specifically, rather than content safety or topic denial.
- ✗
Topic denial
Why it's wrong here
Topic denial blocks queries about defined denied subjects, so it cannot identify personal names and addresses embedded in legitimate translation requests. It would be correct for preventing discussion of restricted subjects, not for protecting PII within otherwise permitted email content.
- ✗
Content filtering
Why it's wrong here
Content filtering blocks harmful or inappropriate categories such as hate, violence or profanity; it does not detect or redact personally identifiable information. It would be correct for screening offensive user input or model output, not for masking names and addresses during translation.
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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.