- A
Deploy an open-source model on Amazon Bedrock in a local on-premises server.
Why wrong: Bedrock is a managed service, not on-premises.
- B
Use Amazon Bedrock with a foundation model and public internet access without encryption.
Why wrong: Lacks encryption and data governance.
- C
Use Amazon SageMaker to host a fine-tuned model with a public API key.
Why wrong: Public API keys are insecure for regulated data.
- D
Use Amazon Bedrock with a private VPC endpoint, AWS KMS encryption, and content filtering.
This configuration meets regulatory requirements for data privacy and content safety.
Quick Answer
The answer is to use Amazon Bedrock with a private VPC endpoint, AWS KMS encryption, and content filtering. This combination directly addresses regulatory compliance with Bedrock by ensuring data never traverses the public internet, encrypting sensitive customer interaction logs at rest and in transit, and filtering model outputs to prevent non-compliant or biased summaries. On the AWS Certified AI Practitioner AIF-C01 exam, this scenario tests your understanding of how to architect for data sovereignty and security within a managed AI service—a common trap is assuming SageMaker alone provides built-in content filtering or that a public API key is acceptable for regulated workloads. Remember the three pillars of compliance for Bedrock: Private VPC for network isolation, KMS for encryption control, and content filtering for output governance. A useful memory tip is “P-K-C” (Private, Key, Content) to recall the essential layers.
AIF-C01 Fundamentals of Generative AI Practice Question
This AIF-C01 practice question tests your understanding of fundamentals of generative ai. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 financial services company is subject to strict regulatory requirements. They plan to use generative AI to summarize customer interaction logs. Which combination of AWS services and configurations best ensures compliance while maintaining accuracy?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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
Use Amazon Bedrock with a private VPC endpoint, AWS KMS encryption, and content filtering.
Option D is correct because Amazon Bedrock with a private VPC endpoint and data encryption at rest and in transit ensures data sovereignty, and using a foundation model that supports content filtering reduces risk of non-compliant outputs. Option A is wrong because Bedrock does not support local on-premises deployment. Option B is wrong because SageMaker alone does not provide built-in content filtering. Option C is wrong because using a public API key violates security policies.
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.
- ✗
Deploy an open-source model on Amazon Bedrock in a local on-premises server.
Why it's wrong here
Bedrock is a managed service, not on-premises.
- ✗
Use Amazon Bedrock with a foundation model and public internet access without encryption.
Why it's wrong here
Lacks encryption and data governance.
- ✗
Use Amazon SageMaker to host a fine-tuned model with a public API key.
Why it's wrong here
Public API keys are insecure for regulated data.
- ✓
Use Amazon Bedrock with a private VPC endpoint, AWS KMS encryption, and content filtering.
Why this is correct
This configuration meets regulatory requirements for data privacy and content safety.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Static NAT maps one inside address to one outside address.
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.
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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
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.
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Fundamentals of Generative AI — study guide chapter
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Fundamentals of Generative AI practice questions
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FAQ
Questions learners often ask
What does this AIF-C01 question test?
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 Amazon Bedrock with a private VPC endpoint, AWS KMS encryption, and content filtering. — Option D is correct because Amazon Bedrock with a private VPC endpoint and data encryption at rest and in transit ensures data sovereignty, and using a foundation model that supports content filtering reduces risk of non-compliant outputs. Option A is wrong because Bedrock does not support local on-premises deployment. Option B is wrong because SageMaker alone does not provide built-in content filtering. Option C is wrong because using a public API key violates security policies.
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.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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Last reviewed: Jun 23, 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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