AIF-C01 Fundamentals of Generative AI Practice Question
This AIF-C01 practice question tests your understanding of fundamentals of generative 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.
Which TWO actions can help reduce the likelihood of hallucinations in a generative AI model used for question answering?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use Retrieval Augmented Generation (RAG) with a trusted knowledge base.
Options A and C are correct. Grounding the model on a knowledge base (RAG) reduces hallucinations by providing factual context. Reducing the temperature parameter makes the model more deterministic, lowering the chance of making up information. Option B is wrong because fine-tuning on the same data that caused hallucinations may not fix the issue. Option D is wrong because increasing max tokens may allow more hallucinated content. Option E is wrong because using a larger model often increases hallucination risk due to more parameters.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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 maximum token count to allow more complete answers.
Why it's wrong here
Longer outputs can include more hallucinated details.
✓
Use Retrieval Augmented Generation (RAG) with a trusted knowledge base.
Why this is correct
Grounding on real documents reduces hallucinations.
Related concept
Static NAT maps one inside address to one outside address.
✗
Fine-tune the model on the training data used for the application.
Why it's wrong here
Fine-tuning on the same data may not help and could cause overfitting.
✓
Set a lower temperature parameter (e.g., 0.1) to reduce randomness.
Why this is correct
Lower temperature makes outputs more deterministic and less creative, reducing hallucinations.
Related concept
Static NAT maps one inside address to one outside address.
✗
Use a larger foundation model with more parameters.
Why it's wrong here
Larger models can still hallucinate and may be worse.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Trap categories for this question
Command / output trap
Longer outputs can include more hallucinated details.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
Static NAT maps one inside address to one outside address.
PAT allows many inside hosts to share one public address using ports.
Inside local and inside global describe the private and translated addresses.
NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
→Identify inside and outside interfaces first.
→Check whether the scenario needs static NAT, dynamic NAT or PAT.
→Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Real-world example
How this comes up in practice
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. NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated. 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
Got this wrong? Here's your next step.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AIF-C01 NAT questions on configuration and troubleshooting.
Fundamentals of Generative AI — This question tests Fundamentals of Generative AI — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Use Retrieval Augmented Generation (RAG) with a trusted knowledge base. — Options A and C are correct. Grounding the model on a knowledge base (RAG) reduces hallucinations by providing factual context. Reducing the temperature parameter makes the model more deterministic, lowering the chance of making up information. Option B is wrong because fine-tuning on the same data that caused hallucinations may not fix the issue. Option D is wrong because increasing max tokens may allow more hallucinated content. Option E is wrong because using a larger model often increases hallucination risk due to more parameters.
What should I do if I get this AIF-C01 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AIF-C01 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.