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MLA-C01 Practice Question: A healthcare company deploys a model that…

A healthcare company deploys a model that predicts patient readmission risk. The model is deployed using a SageMaker real-time endpoint with data capture enabled. The compliance team requires that all inference data be encrypted at rest in S3 using AWS KMS with a customer managed key. The team has configured the endpoint to use an IAM role that includes the necessary KMS permissions. However, after deployment, the captured data is not being written to the S3 bucket. The team checks the CloudWatch logs for the endpoint and finds no errors. The S3 bucket policy is as follows:

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Deny",
      "Principal": "*",
      "Action": "s3:PutObject",
      "Resource": "arn:aws:s3:::my-bucket/*",
      "Condition": {
        "Bool": {

"aws:SecureTransport": "false"

}
      }
    }
  ]
}

The bucket also has a default KMS key. What is the MOST likely reason that the captured data is not being written?

⚠ Common exam trap

The trap here is that candidates focus on the S3 bucket policy's explicit Deny and assume it blocks all writes, but they overlook the condition key aws:SecureTransport, which makes the Deny only apply to non-HTTPS requests, and they miss the subtle KMS permission requirement for data capture encryption.

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 KMS key policy does not grant the SageMaker execution role the kms:GenerateDataKey permission.

SageMaker data capture encrypts captured data at rest in S3 using server-side encryption with AWS KMS (SSE-KMS). When a customer managed KMS key is used, the SageMaker execution role must have the kms:GenerateDataKey permission to encrypt the data before writing it to S3. Even if the IAM role has other KMS permissions, without kms:GenerateDataKey, the data capture write operation fails silently, and CloudWatch logs may not show errors because the failure occurs at the KMS encryption step before the S3 PutObject call.

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 bucket policy includes an explicit deny that overrides any allow.

    Why it's wrong here

    The explicit deny only applies when SecureTransport is false, which is not the case.

  • The bucket policy denies all PutObject requests because aws:SecureTransport is false.

    Why it's wrong here

    The policy denies only when SecureTransport is false; SageMaker uses HTTPS, so it should be true.

  • The KMS key policy does not grant the SageMaker execution role the kms:GenerateDataKey permission.

    Why this is correct

    Even if the IAM role has KMS permissions, the key policy might not allow the role to use the key for encryption.

  • The S3 bucket does not exist.

    Why it's wrong here

    No indication that the bucket does not exist.

Quick reference

AWS S3 Storage Class Comparison

Storage ClassMin DurationRetrievalUse Case
S3 StandardNoneImmediateFrequently accessed data
S3 Standard-IA30 daysImmediateInfrequent access, rapid retrieval
S3 One Zone-IA30 daysImmediateNon-critical infrequent data
S3 Intelligent-TieringNoneImmediate–hoursUnknown or changing access patterns
S3 Glacier Instant90 daysMillisecondsArchive with instant retrieval
S3 Glacier Flexible90 daysMinutes–hoursArchive, flexible retrieval
S3 Glacier Deep Archive180 daysHoursLong-term compliance archive

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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