Quick Answer
The correct choice is to clearly state that it cannot answer and offer alternatives, such as rephrasing the query or suggesting related topics. This approach directly supports the Explainability principle under AWS’s Guidelines for Responsible AI, which mandates that AI systems, including Amazon Lex chatbots, must be transparent about their limitations to maintain user trust. When a chatbot cannot answer, simply saying “I don’t know” without guidance violates transparency, as users are left without a path forward. On the AWS Certified AI Practitioner AIF-C01 exam, this concept tests your understanding of responsible AI deployment—specifically how to implement fallback intents in Lex that gracefully handle unknown inputs. A common trap is choosing a vague “escalate to human” option without first acknowledging the limitation, but the key is that transparency requires the bot to explicitly admit its inability before offering next steps. Memory tip: think “Admit and Assist”—the bot must first admit it cannot answer, then assist with alternatives.
This AIF-C01 practice question tests your understanding of guidelines for responsible ai. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company develops a chatbot using Amazon Lex. To ensure transparency, what should the chatbot do when it cannot answer a question?
Remain silent and wait for the next input
Why wrong: Silence is not transparent.
Provide a random answer from a predefined list
Why wrong: Random answers can mislead.
Clearly state that it cannot answer and offer alternatives
Honest communication builds trust.
Automatically escalate all unanswered questions to a human
Why wrong: Escalation may not always be necessary.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Clearly state that it cannot answer and offer alternatives
Option C is correct because responsible AI guidelines, including those from AWS for Amazon Lex, require that when a chatbot cannot answer a question, it should clearly state its inability and offer alternatives (e.g., rephrasing the query or providing related topics). This maintains transparency and user trust, aligning with the 'Explainability' principle under the Guidelines for Responsible AI.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Remain silent and wait for the next input
Why it's wrong here
Silence is not transparent.
Provide a random answer from a predefined list
Why it's wrong here
Random answers can mislead.
Clearly state that it cannot answer and offer alternatives
Why this is correct
Honest communication builds trust.
Related concept
Read the scenario before looking for a memorised answer.
Automatically escalate all unanswered questions to a human
Why it's wrong here
Escalation may not always be necessary.
Common exam traps
AWS often tests the misconception that a chatbot should always escalate or remain passive when it cannot answer, but the correct approach under responsible AI is to acknowledge the limitation and offer alternatives, not to hide or mislead.
Detailed technical explanation
In Amazon Lex, the 'FallbackIntent' is used to handle utterances that do not match any defined intent. When triggered, the chatbot should be configured with a response that clearly states it cannot answer and suggests alternatives, such as rephrasing or selecting from a list of common intents. This approach leverages the 'ClarificationPrompt' and 'HangUp' settings to ensure graceful handling of unrecognized inputs, preventing user frustration and maintaining conversational flow.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
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Guidelines for Responsible AI — study guide chapter
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FAQ
Guidelines for Responsible AI — This question tests Guidelines for Responsible AI — Read the scenario before looking for a memorised answer..
The correct answer is: Clearly state that it cannot answer and offer alternatives — Option C is correct because responsible AI guidelines, including those from AWS for Amazon Lex, require that when a chatbot cannot answer a question, it should clearly state its inability and offer alternatives (e.g., rephrasing the query or providing related topics). This maintains transparency and user trust, aligning with the 'Explainability' principle under the Guidelines for Responsible AI.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 30, 2026
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.
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