Exam Certified Generative AI Engineer Associate All Questions

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Exam Certified Generative AI Engineer Associate topic 1 question 23 discussion

Actual exam question from Databricks's Certified Generative AI Engineer Associate

Question #: 23
Topic #: 1

[All Certified Generative AI Engineer Associate Questions]

A Generative AI Engineer is developing a chatbot designed to assist users with insurance-related queries. The chatbot is built on a large language model (LLM) and is conversational. However, to maintain the chatbot’s focus and to comply with company policy, it must not provide responses to questions about politics. Instead, when presented with political inquiries, the chatbot should respond with a standard message:
“Sorry, I cannot answer that. I am a chatbot that can only answer questions around insurance.”
Which framework type should be implemented to solve this?

A. Safety Guardrail
B. Security Guardrail
C. Contextual Guardrail
D. Compliance Guardrail

Show Suggested Answer

Suggested Answer: A 🗳️

by mojj at Oct. 8, 2024, 4:12 p.m.

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mojj

Highly Voted 9 months ago

A. Safety Guardrail Reasoning: A Safety Guardrail is designed to ensure that a conversational AI system like a chatbot stays within the intended boundaries of its domain, preventing it from generating unsafe or irrelevant responses. In this case, it ensures the chatbot avoids responding to political questions, which is essential for maintaining focus on insurance-related queries and complying with company policies.

upvoted 7 times

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adaine

Most Recent 1 month, 1 week ago

Selected Answer: A

I am conviced by copilot's explanation: In your scenario, the chatbot is not just trying to stay on topic—it is explicitly forbidden from answering a specific category of questions (politics), regardless of the context or flow of conversation. This is a hard restriction, not a matter of staying contextually relevant. That kind of restriction is a hallmark of a Safety Guardrail, which is designed to: Block certain topics (like politics, violence, or adult content), Prevent harmful or inappropriate outputs, Enforce ethical or policy-based boundaries.

upvoted 1 times

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Lg22

1 month, 2 weeks ago

Selected Answer: D

It should be D

upvoted 1 times

Lg22

1 month ago

Changing it to A

upvoted 1 times

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adaine

2 months ago

Selected Answer: C

I really think the answer is C. The chatbot is limited to answering only insurance-related questions and must avoid political topics. That’s a clear case of keeping the model within a defined scope—which is exactly what contextual guardrails are for.

upvoted 1 times

adaine

2 months ago

I feel like safety guardrails are more to do with filtering offensive content, e.g. swearing, violent language, etc. rather than about staying on topic.

upvoted 1 times

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jothi28021951

2 months ago

Selected Answer: A

Safety Guardrails in the context of LLMs are designed to prevent the model from generating harmful, inappropriate, or off-topic content. This includes topics that are explicitly disallowed by policy, such as political discussions in an insurance chatbot. The goal is to ensure the chatbot operates within acceptable boundaries and doesn't produce undesirable outputs.

upvoted 1 times

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CoolSmartDude

2 months, 2 weeks ago

Selected Answer: A

Safey Guardrail

upvoted 1 times

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natadatabricksadf

5 months ago

Selected Answer: C

C Contextual Guardrail is used to ensure that the chatbot stays within its intended domain (in this case, insurance) and does not respond to off-topic queries, such as politics

upvoted 1 times

natadatabricksadf

4 months, 4 weeks ago

I've changed my mind correct answer is A. Safety Guardrail

upvoted 1 times

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Soumak

6 months, 1 week ago

Selected Answer: A

Safety guardrails are mechanisms implemented in Generative AI systems to ensure the model behaves within specific bounds. In this case, it ensures the chatbot does not answer politically sensitive or irrelevant questions, which aligns with the business rules.

upvoted 1 times

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trendy01

8 months, 1 week ago

Selected Answer: D

D. Compliance Guardrail is a suitable choice to solve this problem. Compliance guardrails are a way to ensure that your chatbot adheres to certain policies, where company policy requires it to block answers to political questions and return a standard message.

upvoted 2 times

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