- A
The KMS key policy allows the SageMaker service to decrypt using the key, and the console displays this permission globally.
Why wrong: KMS key policies can allow the SageMaker service, but the console shows access based on the user's effective permissions, not the key policy alone.
- B
The S3 bucket has a bucket policy that grants s3:GetObject access using the SageMaker service principal, bypassing KMS permissions.
Why wrong: S3 bucket policies do not bypass KMS; KMS still requires separate permissions.
- C
The SageMaker execution role attached to the notebook instance has permission to use the KMS key for the S3 bucket, and the SageMaker console uses that role to perform decryption operations on behalf of the user.
The SageMaker execution role is assumed by the notebook instance and has KMS permissions. The console uses the role to show decryption status.
- D
The SageMaker notebook instance is using an IAM role that has the AWS managed policy AmazonSageMakerFullAccess, which includes kms:Decrypt for all keys.
Why wrong: AmazonSageMakerFullAccess does not include kms:Decrypt for all keys; it only includes permissions for SageMaker resources.
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 company uses Amazon SageMaker to train a model on customer transaction data. The data is stored in an S3 bucket encrypted with SSE-KMS. The data scientists are using a SageMaker notebook instance to preprocess the data. The security team notices that the notebook instance can access the KMS key directly through the SageMaker console, even when the data scientists do not have explicit KMS permissions. What is the MOST likely reason for this behavior?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"most likely"Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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
The SageMaker execution role attached to the notebook instance has permission to use the KMS key for the S3 bucket, and the SageMaker console uses that role to perform decryption operations on behalf of the user.
Option C is correct because the SageMaker notebook instance uses an execution IAM role that is assumed when performing operations. If that execution role has permissions to use the KMS key (e.g., kms:Decrypt, kms:GenerateDataKey) for the S3 bucket, the SageMaker console can leverage that role to decrypt data on behalf of the user, even if the user's own IAM identity lacks explicit KMS permissions. The console acts as a proxy, using the notebook's execution role to access the key.
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.
- ✗
The KMS key policy allows the SageMaker service to decrypt using the key, and the console displays this permission globally.
Why it's wrong here
KMS key policies can allow the SageMaker service, but the console shows access based on the user's effective permissions, not the key policy alone.
- ✗
The S3 bucket has a bucket policy that grants s3:GetObject access using the SageMaker service principal, bypassing KMS permissions.
Why it's wrong here
S3 bucket policies do not bypass KMS; KMS still requires separate permissions.
- ✓
The SageMaker execution role attached to the notebook instance has permission to use the KMS key for the S3 bucket, and the SageMaker console uses that role to perform decryption operations on behalf of the user.
Why this is correct
The SageMaker execution role is assumed by the notebook instance and has KMS permissions. The console uses the role to show decryption status.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
The SageMaker notebook instance is using an IAM role that has the AWS managed policy AmazonSageMakerFullAccess, which includes kms:Decrypt for all keys.
Why it's wrong here
AmazonSageMakerFullAccess does not include kms:Decrypt for all keys; it only includes permissions for SageMaker resources.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume the user's own IAM permissions are the only factor, but AWS services like SageMaker can proxy requests using the execution role attached to the resource, effectively decoupling the user's identity from the data access permissions.
Trap categories for this question
Command / output trap
KMS key policies can allow the SageMaker service, but the console shows access based on the user's effective permissions, not the key policy alone.
Detailed technical explanation
How to think about this question
Under the hood, SageMaker notebook instances use an execution IAM role that is attached to the instance. When a data scientist uses the SageMaker console to browse or preview data from an SSE-KMS encrypted S3 bucket, the console makes API calls (e.g., GetObject) using the notebook's execution role via the SageMaker service. The KMS key policy must grant the execution role (or its account) the necessary kms:Decrypt permission; the user's own IAM permissions are irrelevant because the console operates under the role's identity. This is a common pattern where service consoles assume the role of the resource to perform operations.
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: The SageMaker execution role attached to the notebook instance has permission to use the KMS key for the S3 bucket, and the SageMaker console uses that role to perform decryption operations on behalf of the user. — Option C is correct because the SageMaker notebook instance uses an execution IAM role that is assumed when performing operations. If that execution role has permissions to use the KMS key (e.g., kms:Decrypt, kms:GenerateDataKey) for the S3 bucket, the SageMaker console can leverage that role to decrypt data on behalf of the user, even if the user's own IAM identity lacks explicit KMS permissions. The console acts as a proxy, using the notebook's execution role to access the key.
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.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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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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