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AIF-C01 Practice Question: A financial services firm is deploying a…

A financial services firm is deploying a generative AI chatbot using Amazon Bedrock. They must ensure that the chatbot does not generate investment advice and that it automatically redacts any personally identifiable information (PII) from user inputs before processing. Which TWO Bedrock features should they use?

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

✓

Bedrock Guardrails with topic denial

Option A is correct because Bedrock Guardrails support topic denial policies, which let you define denied topics (such as investment advice) so the model refuses to generate content on those subjects, directly satisfying the requirement to prevent investment advice. Option C is correct because Bedrock Guardrails provide sensitive information filters with PII detection and redaction, which identify and mask PII in user inputs before processing, meeting the redaction requirement. Option B (Knowledge Bases) is for retrieval-augmented generation over your own data sources and does not enforce content restrictions or redact PII. Option D (Bedrock Studio) is a collaborative development environment for building generative AI applications, not a content-safety or redaction control. Option E (Bedrock Agents) orchestrates multi-step tasks and API calls, but it does not itself deny topics or redact 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.

  • ✓

    Bedrock Guardrails with topic denial

    Why this is correct

    Bedrock Guardrails with topic denial defines a denied-topics policy that blocks investment-advice requests before the model responds, satisfying the no-advice constraint. Guardrails also apply sensitive-information filters that detect and redact PII in prompts, meeting the redaction requirement within the same policy evaluation.

  • ✗

    Bedrock Knowledge Bases

    Why it's wrong here

    Knowledge Bases perform retrieval-augmented generation over your documents; they neither block investment advice nor redact PII. It is tempting because grounding answers in curated financial content reduces hallucination, and Knowledge Bases would be the correct choice when a chatbot must cite internal policy documents.

  • ✓

    Bedrock Guardrails with PII detection and redaction

    Why this is correct

    Guardrails applies content filters that block investment advice and PII detection with redaction masks personal data in prompts before the model processes them, satisfying both the advice-prevention and pre-processing redaction constraints in one Bedrock-native control.

  • ✗

    Bedrock Studio

    Why it's wrong here

    Bedrock Studio is a collaborative development workspace for building generative AI applications; it enforces no guardrail or PII-redaction policy at inference. It is tempting because it centralises Bedrock project work, and Studio would be the correct choice when a team needs shared prototyping of a Bedrock application.

  • ✗

    Bedrock Agents

    Why it's wrong here

    Agents orchestrate API calls and multi-step tasks; they do not filter prohibited advice or redact PII from inputs. It is tempting because agents extend a chatbot's capabilities, and Agents would be the correct choice when the chatbot must query a CRM or execute transactions on the user's behalf.

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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.