AIF-C01 Practice Question: Security, Compliance and Governance for AI Solutions
This AIF-C01 practice question tests your understanding of security, compliance and governance for ai solutions. 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 team is using Amazon SageMaker to deploy a real-time inference endpoint. The endpoint must be accessible only from a specific IP range and must automatically scale based on request volume. Which configuration meets these requirements?
Deploy the endpoint in a public subnet with a security group allowing the IP range.
Why wrong: Public subnet exposes the endpoint to the internet unnecessarily.
B
Configure the endpoint with a VPC and attach a security group that allows inbound traffic from the IP range, and enable automatic scaling for the endpoint.
VPC security group restricts by IP and automatic scaling handles demand.
C
Deploy the endpoint with a VPC and use a Network Load Balancer with target group health checks.
Why wrong: NLB is not native to SageMaker endpoint deployment.
D
Deploy the endpoint with an AWS WAF ACL to filter by IP and enable auto scaling for the endpoint.
Why wrong: WAF is not directly attached to SageMaker endpoints.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Configure the endpoint with a VPC and attach a security group that allows inbound traffic from the IP range, and enable automatic scaling for the endpoint.
Option B is correct because Amazon SageMaker endpoints can be deployed within a VPC, allowing you to attach a security group that restricts inbound traffic to a specific IP range. Additionally, SageMaker supports automatic scaling for real-time endpoints using Application Auto Scaling, which adjusts the number of instances based on request volume metrics like InvocationsPerInstance.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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 the endpoint in a public subnet with a security group allowing the IP range.
Why it's wrong here
Public subnet exposes the endpoint to the internet unnecessarily.
✓
Configure the endpoint with a VPC and attach a security group that allows inbound traffic from the IP range, and enable automatic scaling for the endpoint.
Why this is correct
VPC security group restricts by IP and automatic scaling handles demand.
Related concept
Read the scenario before looking for a memorised answer.
✗
Deploy the endpoint with a VPC and use a Network Load Balancer with target group health checks.
Why it's wrong here
NLB is not native to SageMaker endpoint deployment.
✗
Deploy the endpoint with an AWS WAF ACL to filter by IP and enable auto scaling for the endpoint.
Why it's wrong here
WAF is not directly attached to SageMaker endpoints.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse network-level access control (security groups in a VPC) with application-layer filtering (AWS WAF) or assume that a public subnet with a security group is sufficient, not realizing that SageMaker endpoints in a public subnet are still internet-facing and cannot be restricted to a specific IP range without a VPC.
Detailed technical explanation
How to think about this question
Under the hood, SageMaker endpoints use Amazon Elastic Inference or GPU instances behind a managed load balancer, but when deployed in a VPC, the endpoint's network interface is placed in a private subnet, and the security group acts as a stateful firewall at the instance level. Automatic scaling for SageMaker endpoints uses target tracking scaling policies based on a custom metric like SageMakerVariantInvocationsPerInstance, which is published to CloudWatch, and Application Auto Scaling adjusts the instance count accordingly. A real-world scenario is a financial application that must only accept inference requests from a corporate VPN IP range while handling variable traffic during trading hours.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Security, Compliance and Governance for AI Solutions — This question tests Security, Compliance and Governance for AI Solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Configure the endpoint with a VPC and attach a security group that allows inbound traffic from the IP range, and enable automatic scaling for the endpoint. — Option B is correct because Amazon SageMaker endpoints can be deployed within a VPC, allowing you to attach a security group that restricts inbound traffic to a specific IP range. Additionally, SageMaker supports automatic scaling for real-time endpoints using Application Auto Scaling, which adjusts the number of instances based on request volume metrics like InvocationsPerInstance.
What should I do if I get this AIF-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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