AIF-C01 Fundamentals of Generative AI Practice Question
A company uses Amazon Bedrock Agents to build an agent that interacts with users through a chat interface. The agent is configured with a knowledge base containing product documentation. Sometimes the agent fails to answer simple questions like 'What is your return policy?' and instead says it cannot find the answer. The knowledge base does contain the return policy. What is the most likely reason?
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
✓
Simplify and clarify the agent's instruction prompt to emphasize knowledge base usage
The agent's instruction prompt might be too complex or not explicitly directing the agent to use the knowledge base. Simplifying the prompt to clearly instruct the agent to first search the knowledge base can resolve the issue. Increasing timeout or adding more data is unnecessary. A stronger model may help but is not the root cause.
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 agent's maximum timeout for processing
Why it's wrong here
Timeout is unlikely the issue if the agent quickly returns a failure; the agent is not waiting long enough to search.
- ✗
Use a more powerful foundation model for reasoning
Why it's wrong here
While a stronger model could interpret prompts better, the core issue is prompt guidance, not model capacity.
- ✗
Add more documents to the knowledge base
Why it's wrong here
The policy already exists; adding more data may increase noise and does not address the agent's failure to retrieve.
- ✓
Simplify and clarify the agent's instruction prompt to emphasize knowledge base usage
Why this is correct
A clear prompt instructing the agent to consult the knowledge base for all answers can dramatically improve consistency.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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