MLS-C01 Practice Question: Machine Learning Implementation and Operations
Exhibit
Refer to the exhibit. 2023-01-01 12:00:00,123 INFO - Starting training 2023-01-01 12:00:01,456 ERROR - Unable to read data from /opt/ml/input/data/training 2023-01-01 12:00:01,457 INFO - Training completed
A SageMaker training job log shows the exhibit. The training job fails immediately after starting. The training data is supposed to be provided via Pipe mode from S3. What is the most likely cause?
⚠ Common exam trap
The key distinction is between immediate job failures (caused by infrastructure configuration like Pipe mode channels) versus runtime failures (caused by permissions, memory, or hyperparameters), leading candidates to mistakenly attribute the error to S3 permissions or script issues.
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 input data channel is not properly configured
The training job fails immediately after starting, which is characteristic of a Pipe mode configuration issue. In Pipe mode, SageMaker streams data from S3 directly to the algorithm via a Unix FIFO pipe, and if the input data channel is not properly configured (e.g., missing or incorrect S3 path, wrong channel name, or mismatched content type), the training job will fail at launch without any data being read. The log exhibit likely shows an error such as 'Unable to read from pipe' or 'NoSuchKey', confirming the channel misconfiguration.
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 input data channel is not properly configured
Why this is correct
The training job is looking for data at /opt/ml/input/data/training, but Pipe mode should provide a pipe.
- ✗
The instance type does not have enough memory
Why it's wrong here
Memory issues would cause different errors.
- ✗
The S3 bucket has insufficient permissions
Why it's wrong here
Permissions would cause an error when reading from S3, not a missing file.
- ✗
The training script is using File mode instead of Pipe mode
Why it's wrong here
If using Pipe mode, the path should be a pipe, not a directory.
- ✗
The hyperparameters are incorrectly specified
Why it's wrong here
Hyperparameters would not cause a missing data file 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 |
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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