MLS-C01 Practice Question: Machine Learning Implementation and Operations
Exhibit
Refer to the exhibit. ``` 2024-01-15 10:23:45,123 - sagemaker - INFO - Training job created 2024-01-15 10:23:46,456 - sagemaker - INFO - Starting training... 2024-01-15 10:23:50,789 - root - ERROR - OSError: [Errno 28] No space left on device ```
A training job log shows this error. The training instance is an ml.m5.large with 8 GB EBS storage. The training data is 500 MB, and the model size is expected to be 200 MB. What is the most likely cause?
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 training process is generating large temporary files that fill the instance's local storage
The training job runs on an ml.m5.large instance with only 8 GB of EBS storage. Given that the training data is 500 MB and the model size is 200 MB, there is ample space for those, but the error indicates a lack of storage space. This is most likely caused by temporary files (e.g., checkpoints, logs, or intermediate data) generated during training that fill up the remaining storage. Option A is incorrect because a download issue would show errors like 'Download failed' or 'NoSuchKey', not a storage error. Option B is incorrect because S3 permission issues would result in 'AccessDenied' errors. Option C is incorrect because insufficient RAM would cause a 'MemoryError' or out-of-memory kill, not a storage space error.
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 training data is not fully downloaded from S3 before processing
Why it's wrong here
Incorrect. A failed download from S3 would produce errors such as 'Download failed' or 'NoSuchKey', not a storage space error.
- ✗
The S3 bucket does not have write permissions
Why it's wrong here
Incorrect. Lack of write permissions on the S3 bucket would result in 'AccessDenied' errors when attempting to save the model.
- ✗
The training instance does not have enough RAM
Why it's wrong here
Incorrect. Insufficient RAM would cause a 'MemoryError' or the process to be killed, not a 'no space left on device' error.
- ✓
The training process is generating large temporary files that fill the instance's local storage
Why this is correct
Correct. The training process is generating large temporary files that fill the instance's local storage, causing a 'No space left on device' error.
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.