- A
Enable Amazon Inspector to scan training instances for vulnerabilities.
Why wrong: Inspector is for vulnerability scanning, not required by SOC 2 for these controls.
- B
Enable server-side encryption on the S3 bucket containing training data using SSE-KMS.
SSE-KMS encrypts data at rest.
- C
Use SageMaker Debugger to monitor training jobs.
Why wrong: Debugger is for debugging and profiling, not for logging or encryption.
- D
Enable AWS CloudTrail to capture SageMaker API calls.
CloudTrail logs access to training jobs and data.
- E
Use SageMaker VPC mode to launch training jobs in a private subnet.
VPC mode isolates training jobs within a private network.
Quick Answer
The answer is to enable server-side encryption with SSE-KMS on the S3 bucket, use SageMaker VPC mode to launch training jobs in a private subnet, and enable AWS CloudTrail data event logging for the S3 bucket. These three actions directly address SOC 2 compliance requirements: SSE-KMS encrypts training data at rest with a customer-managed key, providing granular access control and audit trails; VPC mode isolates training jobs by running them in a private subnet without public internet access; and CloudTrail data events log every access to the training data, satisfying the logging requirement. On the AWS Certified AI Practitioner AIF-C01 exam, this question tests your understanding of how SageMaker integrates with security services for compliance frameworks. A common trap is choosing SageMaker’s default encryption or network isolation options, which do not meet SOC 2’s strict logging and isolation demands. Remember the mnemonic “ELI” for SOC 2: Encryption, Logging, Isolation.
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. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 data science team uses Amazon SageMaker to train models. To comply with SOC 2, they must ensure that access to training data is logged, that the data is encrypted at rest, and that model training jobs are isolated from each other. Which THREE actions should they take? (Choose three.)
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
Enable server-side encryption on the S3 bucket containing training data using SSE-KMS.
Option B is correct because enabling server-side encryption on the S3 bucket containing training data using SSE-KMS ensures data at rest is encrypted, which is a direct requirement for SOC 2 compliance. SSE-KMS provides envelope encryption with a customer-managed AWS KMS key, allowing fine-grained access control and audit trails for the encryption keys.
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.
- ✗
Enable Amazon Inspector to scan training instances for vulnerabilities.
Why it's wrong here
Inspector is for vulnerability scanning, not required by SOC 2 for these controls.
- ✓
Enable server-side encryption on the S3 bucket containing training data using SSE-KMS.
Why this is correct
SSE-KMS encrypts data at rest.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use SageMaker Debugger to monitor training jobs.
Why it's wrong here
Debugger is for debugging and profiling, not for logging or encryption.
- ✓
Enable AWS CloudTrail to capture SageMaker API calls.
Why this is correct
CloudTrail logs access to training jobs and data.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Use SageMaker VPC mode to launch training jobs in a private subnet.
Why this is correct
VPC mode isolates training jobs within a private network.
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 may confuse Amazon Inspector with a logging or encryption service, or think SageMaker Debugger provides security logging, when in fact Inspector only scans for vulnerabilities and Debugger only monitors model training metrics.
Detailed technical explanation
How to think about this question
SSE-KMS uses AWS KMS to generate a data key that encrypts the S3 object, and the data key itself is encrypted with a KMS key. This allows separate permissions for the KMS key and the S3 bucket, enabling fine-grained audit logging via AWS CloudTrail for both S3 API calls and KMS Decrypt calls. In a real-world scenario, if training data contains PII, SSE-KMS ensures that even if the S3 bucket is misconfigured, the data remains encrypted and access is logged.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this AIF-C01 question test?
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: Enable server-side encryption on the S3 bucket containing training data using SSE-KMS. — Option B is correct because enabling server-side encryption on the S3 bucket containing training data using SSE-KMS ensures data at rest is encrypted, which is a direct requirement for SOC 2 compliance. SSE-KMS provides envelope encryption with a customer-managed AWS KMS key, allowing fine-grained access control and audit trails for the encryption keys.
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.
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 →
Same concept, more angles
1 more ways this is tested on AIF-C01
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company is using Amazon SageMaker to train machine learning models. The security team wants to ensure that the training data is encrypted at rest and that the SageMaker notebook instances cannot access the internet. Which TWO actions should the company take? (Choose TWO.)
medium- ✓ A.Enable S3 server-side encryption with AWS KMS (SSE-KMS) for the training data bucket
- B.Create an AWS CloudTrail trail to log all S3 data events
- C.Enable encryption at rest for the SageMaker endpoint using the AWS Management Console
- ✓ D.Disable internet access for the SageMaker notebook instance by placing it in a VPC without a NAT gateway or internet gateway
- E.Use AWS Security Token Service (STS) to generate temporary credentials for the notebook instance
Why A: Option A is correct because enabling S3 server-side encryption with AWS KMS (SSE-KMS) ensures that the training data stored in the S3 bucket is encrypted at rest. This satisfies the security team's requirement for data encryption at rest, as SSE-KMS provides envelope encryption with a customer-managed or AWS-managed KMS key, giving the company control over the encryption keys and auditability via AWS CloudTrail.
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Last reviewed: Jun 25, 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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