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AIF-C01 Practice Question: A developer needs to ensure that a generative AI…
A developer needs to ensure that a generative AI application on Amazon Bedrock does not produce harmful or inappropriate content. Which feature should they configure?
⚠ Common exam trap
AWS often tests the distinction between monitoring/logging features (like Model Invocation Logging) and active content filtering features (like Guardrails), leading candidates to mistakenly choose logging as a safety mechanism when it only records data without blocking harmful content.
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
✓
Guardrails for Amazon Bedrock
Guardrails for Amazon Bedrock is the correct feature because it allows developers to define policies that filter and block harmful or inappropriate content in both user inputs and model outputs. This includes configurable thresholds for topics, content filters (e.g., hate, insults, sexual, violence), and denied topics, ensuring the generative AI application adheres to safety and responsible AI requirements.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
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Provisioned Throughput
Why it's wrong here
Provisioned Throughput reserves dedicated model capacity for consistent latency and throughput, not content moderation. It is tempting when performance or cost predictability matters, but blocking harmful output requires Guardrails for Amazon Bedrock, which applies content filters and denied-topic policies to prompts and responses.
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Model Invocation Logging
Why it's wrong here
Model Invocation Logging records requests and responses to CloudWatch or S3 for auditing and troubleshooting; it observes output after generation rather than preventing harmful content. It is tempting for compliance visibility, but Guardrails for Amazon Bedrock is the feature that filters and blocks inappropriate content.
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Knowledge Bases for Amazon Bedrock
Why it's wrong here
Knowledge Bases for Amazon Bedrock implements retrieval-augmented generation by grounding responses in your own data sources. It is tempting because it shapes answer content, but it addresses accuracy and relevance, not safety; Guardrails for Amazon Bedrock applies content filters and topic denial to block harmful output.
- ✓
Guardrails for Amazon Bedrock
Why this is correct
Guardrails for Amazon Bedrock applies configurable content filters and denied-topic policies to both prompts and model responses, blocking harmful or inappropriate output. This directly satisfies the requirement that the generative AI application must not produce such content.
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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.