MLS-C01 Modeling Practice Question
Network Topology
A data scientist ran a SageMaker training job that failed with the error shown. The training script expects the data in '/opt/ml/input/data/training/train.csv'. What is the most likely issue?
⚠ Common exam trap
Candidates often confuse the channel name (which is arbitrary) with the S3 data path format, assuming the error is about the channel name mismatch rather than the distinction between pointing to a file versus a folder in S3.
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 S3 data path should point to the exact file, not the folder
The SageMaker training job expects the S3 data path to point directly to the CSV file (e.g., s3://bucket/train.csv), not to a folder containing the file. When the path points to a folder, SageMaker downloads the folder contents but the training script's hardcoded path '/opt/ml/input/data/training/train.csv' fails because the file is not placed at that exact location—SageMaker copies the file into the channel directory with its original name, but the folder path causes the file to be nested or missing, leading to a file-not-found 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 hyperparameter 'sagemaker_program' is misspelled
Why it's wrong here
The hyperparameter is correct.
- ✗
The training script has a bug in reading the file
Why it's wrong here
The error indicates file not found, not a read bug.
- ✗
The channel name should be 'train' instead of 'training'
Why it's wrong here
The channel name matches the script path '/opt/ml/input/data/training/'.
- ✓
The S3 data path should point to the exact file, not the folder
Why this is correct
SageMaker copies the prefix content into the channel directory; if train.csv is not at the root of that prefix, the path is wrong.
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
Related to this question
About these practice questions
One of 1,672 original MLS-C01 practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
JA
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.