MLS-C01 Data Engineering Practice Question
A data scientist uses Amazon SageMaker to train a model. The training dataset is 10 GB and stored in S3. The training job uses a ml.m5.large instance. The data must be available on the local file system during training. Which input mode should be used?
⚠ Common exam trap
Many exam-takers confuse 'File input mode' with 'Pipe input mode' and incorrectly choose Pipe mode for local file availability, or invent 'Local input mode' as a plausible-sounding option.
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
✓
File input mode
File input mode is correct because it downloads the entire training dataset from S3 to the local file system of the ml.m5.large instance before training begins, ensuring the data is available locally as required. This mode is suitable for datasets up to 10 GB, as the instance's local storage (typically 8 GB for ml.m5.large) may be insufficient, but SageMaker uses the instance's Amazon EBS volume (up to 512 GB) for file input mode, making it viable.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Local input mode
Why it's wrong here
Not a valid SageMaker input mode.
- ✗
Batch input mode
Why it's wrong here
No such mode in SageMaker.
- ✓
File input mode
Why this is correct
File mode downloads data to the local file system, making it available for training.
- ✗
Pipe input mode
Why it's wrong here
Pipe mode streams data, not stored on local file system.
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 |
Go deeper
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This MLS-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 MLS-C01 exam.