The correct answer is AWS Config custom rules and AWS IAM policies. This combination works because AWS Config custom rules continuously evaluate SageMaker model deployment configurations against your defined policies—such as verifying that models originate from an approved registry—while IAM policies restrict which users or roles can create or update SageMaker endpoints, effectively enforcing that only approved machine learning models are deployed. On the AWS Certified AI Practitioner AIF-C01 exam, this scenario tests your understanding of governance automation: AWS Config handles the “what” (compliance checks on model sources), and IAM handles the “who” (access control to deployment actions). A common trap is choosing only IAM policies, forgetting that Config provides the automated enforcement logic. Memory tip: think “Config checks the model, IAM checks the person.”
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 company wants to ensure that only approved machine learning models are deployed to production on Amazon SageMaker. Which combination of services can enforce this governance requirement?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
AWS Config custom rules and AWS IAM policies
Option D is correct because AWS Config custom rules can evaluate SageMaker model deployment configurations against defined policies (e.g., requiring models to be from an approved registry), and AWS IAM policies can restrict who can create or update endpoints, together enforcing that only approved ML models are deployed. This combination provides both continuous compliance checking and access control, directly addressing the governance requirement.
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.
✗
AWS CodePipeline and Amazon CodeGuru
Why it's wrong here
CodePipeline automates CI/CD, CodeGuru reviews code; they don't directly enforce model approval.
✗
Amazon CloudWatch Events and AWS CloudTrail
Why it's wrong here
These are for monitoring and auditing, not for enforcement.
✗
AWS Organizations and AWS Artifact
Why it's wrong here
Organizations manage accounts, Artifact provides compliance reports; they don't enforce model approval.
✓
AWS Config custom rules and AWS IAM policies
Why this is correct
Config can evaluate tags on models, IAM can restrict deployment to roles that can only deploy approved models.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse monitoring/auditing services (like CloudTrail and CloudWatch) with enforcement mechanisms, failing to recognize that only AWS Config rules combined with IAM policies can actively prevent or flag non-compliant deployments.
Detailed technical explanation
How to think about this question
AWS Config custom rules can be written in AWS Lambda to evaluate SageMaker model resources (e.g., aws::sagemaker::model) against criteria such as model artifact source, training job lineage, or approval tags. IAM policies can then enforce actions like sagemaker:CreateModel or sagemaker:CreateEndpointConfig only when the model ARN matches an approved list or tag. In a real-world scenario, a company might combine these with a model registry (e.g., SageMaker Model Registry) where only models with an 'Approved' status are allowed, and AWS Config rules flag any non-compliant deployment attempts.
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: AWS Config custom rules and AWS IAM policies — Option D is correct because AWS Config custom rules can evaluate SageMaker model deployment configurations against defined policies (e.g., requiring models to be from an approved registry), and AWS IAM policies can restrict who can create or update endpoints, together enforcing that only approved ML models are deployed. This combination provides both continuous compliance checking and access control, directly addressing the governance requirement.
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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