AIF-C01 Guidelines for Responsible AI Practice Question
A government agency is building an AI assistant using Amazon Bedrock to help citizens understand eligibility rules for public benefits. The agency's legal team requires that the assistant never provide medical diagnoses, never discuss competitors' services, and refuse requests to draft legal documents. The agency also needs to log blocked interactions for periodic review. Which Amazon Bedrock feature should the team configure to enforce these restrictions and capture denials?
⚠ Common exam trap
The trap here is assuming that Amazon Bedrock Agents enforce topic restrictions, when agents only orchestrate actions and leave content policy to Guardrails.
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 Bedrock Guardrails with denied topics and content filters
Bedrock Guardrails is the runtime content governance feature that enforces denied topics and content filters, blocking disallowed prompts and responses while producing logs for review. Evaluation jobs compare models offline, Provisioned Throughput manages capacity, and Agents extend capabilities through Lambda actions. Only Guardrails applies policy at inference time and captures the blocked interactions the agency must audit.
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 Bedrock Agents with action groups invoking Lambda functions
Why it's wrong here
Bedrock Agents orchestrate multi-step tasks by calling action groups backed by Lambda functions to fulfill user requests. They extend what the assistant can do rather than restrict what it may say. Agents do not natively enforce denied-topic policies or produce denial logs, so they are the wrong tool for the content governance requirement.
- ✗
Amazon Bedrock Provisioned Throughput for dedicated model capacity
Why it's wrong here
Provisioned Throughput reserves dedicated capacity for a foundation model to provide consistent performance and higher throughput. It is a performance and cost control, not a content policy control. It cannot restrict the topics the assistant discusses or log blocked interactions, so it does not meet the legal team's requirements.
- ✗
Amazon Bedrock model evaluation jobs comparing foundation models
Why it's wrong here
Model evaluation jobs run automated or human assessments to compare foundation models on metrics like accuracy and robustness. They help select a model but do not enforce runtime restrictions on what the assistant may discuss. Evaluation output is a report, not a blocking mechanism, so it cannot prevent the assistant from answering disallowed topics or log those denials.
- ✓
Amazon Bedrock Guardrails with denied topics and content filters
Why this is correct
Amazon Bedrock Guardrails lets teams define denied topics that block specific subject areas and content filters that screen harmful categories. When a prompt or response violates a guardrail, the interaction is blocked and can be logged for review. This directly enforces the agency's prohibitions on medical diagnoses, competitor discussion, and legal drafting while supporting the audit requirement.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
Go deeper
Related to this question
About these practice questions
This AIF-C01 question is part of Courseiva's 862-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Amazon Web Services exam blueprint
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.