- A
Enable S3 Server-Side Encryption (SSE-S3) on the input data bucket
Why wrong: SSE-S3 encrypts data at rest in S3, but not during training.
- B
Use a custom Docker image with built-in encryption and disable inter-container traffic encryption for performance
Why wrong: Disabling inter-container encryption violates the requirement for encryption in transit.
- C
Use a VPC with an S3 VPC Endpoint and enable SSL for the endpoint
Why wrong: SSL provides encryption in transit but not at rest on the training instance.
- D
Specify a KMS key for the training job's VolumeKmsKeyId and enable inter-container traffic encryption
This encrypts the ML storage volume and inter-container traffic.
Question 1,559 of 1,755
MLS-C01 Data Engineering Practice Question
This MLS-C01 practice question tests your understanding of data engineering. 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.
An ML engineer is using Amazon SageMaker to train a model on a dataset that contains personal identifiable information (PII). The data must be encrypted at rest and in transit. The company uses AWS KMS for key management. How should the engineer configure the SageMaker training job to meet these encryption requirements?
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
✓
Specify a KMS key for the training job's VolumeKmsKeyId and enable inter-container traffic encryption
Option D is correct because it addresses both encryption at rest and in transit for the SageMaker training job. Specifying a KMS key via VolumeKmsKeyId encrypts the ML storage volume (EBS) used by the training instances at rest, while enabling inter-container traffic encryption ensures data exchanged between distributed training containers is encrypted in transit using TLS. This combination meets the PII encryption requirements using AWS KMS.
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 S3 Server-Side Encryption (SSE-S3) on the input data bucket
Why it's wrong here
SSE-S3 encrypts data at rest in S3, but not during training.
- ✗
Use a custom Docker image with built-in encryption and disable inter-container traffic encryption for performance
Why it's wrong here
Disabling inter-container encryption violates the requirement for encryption in transit.
- ✗
Use a VPC with an S3 VPC Endpoint and enable SSL for the endpoint
- ✓
Specify a KMS key for the training job's VolumeKmsKeyId and enable inter-container traffic encryption
Why this is correct
This encrypts the ML storage volume and inter-container traffic.
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 focus only on S3 encryption or VPC endpoints, overlooking that SageMaker training jobs have separate encryption requirements for local storage and inter-container communication, which are explicitly controlled by VolumeKmsKeyId and inter-container traffic encryption settings.
Detailed technical explanation
How to think about this question
Under the hood, SageMaker training instances use EBS volumes for temporary storage of the training dataset and model artifacts; setting VolumeKmsKeyId attaches a KMS-managed key to encrypt these volumes using AES-256. Inter-container traffic encryption uses TLS 1.2 mutual authentication between containers in distributed training, ensuring data in transit is protected even within the same VPC. In a real-world scenario, if the dataset contains PII like healthcare records, failing to encrypt inter-container traffic could expose sensitive data during gradient exchanges in distributed training.
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.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this MLS-C01 question test?
Data Engineering — This question tests Data Engineering — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Specify a KMS key for the training job's VolumeKmsKeyId and enable inter-container traffic encryption — Option D is correct because it addresses both encryption at rest and in transit for the SageMaker training job. Specifying a KMS key via VolumeKmsKeyId encrypts the ML storage volume (EBS) used by the training instances at rest, while enabling inter-container traffic encryption ensures data exchanged between distributed training containers is encrypted in transit using TLS. This combination meets the PII encryption requirements using AWS KMS.
What should I do if I get this MLS-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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Last reviewed: Jul 4, 2026
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