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AIF-C01 Practice Question: A financial services company uses Amazon Bedrock…
A financial services company uses Amazon Bedrock to power a customer-facing chatbot that provides investment advice. The company must ensure that the chatbot's responses comply with regulatory standards, meaning that the model should not generate advice that is speculative or promises returns. The company has implemented Bedrock Guardrails with content filters. However, during testing, the chatbot still generates responses that violate the guidelines. A review of the guardrail configuration shows that the content filters are set to the lowest sensitivity. The company wants to enforce stricter filtering without completely blocking legitimate responses. What should the company do?
⚠ Common exam trap
Watch out — candidates often think adding a deny topic (Option D) is the simplest way to enforce compliance, but they overlook that it completely blocks all investment advice, which violates the requirement to allow legitimate responses; the exam tests understanding of granular guardrail tuning versus blunt blocking.
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
✓
Increase the sensitivity of the content filters in the Bedrock Guardrails configuration.
Increasing the sensitivity of the content filters in Bedrock Guardrails directly addresses the issue: the current filters are set to the lowest sensitivity, allowing speculative or promise-based responses to pass through. By raising the sensitivity, the guardrails will block more non-compliant content while still permitting legitimate investment advice, striking the required balance between regulatory compliance and functionality.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Increase the sensitivity of the content filters in the Bedrock Guardrails configuration.
Why this is correct
Higher sensitivity blocks more content that violates guidelines, while still allowing compliant responses.
- ✗
Use a different foundational model that has built-in compliance filters.
Why it's wrong here
No model has perfect built-in filters; this approach is not reliable and may not address the specific guidelines.
- ✗
Configure the chatbot to route all responses to a human reviewer before delivering to the customer.
Why it's wrong here
Human review is slow and costly; the goal is to automate compliance.
- ✗
Add a deny topic for investment advice to completely block that topic.
Why it's wrong here
Denying the entire investment advice topic would block all legitimate responses, not just non-compliant ones.
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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.