MLS-C01 Modeling Practice Question
Network Topology
Refer to the exhibit. A custom training job using Pipe input mode fails. The logs indicate the algorithm cannot read the data. What is the most likely issue?
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 algorithm expects File mode but Pipe mode is specified
Pipe mode streams data from S3 via stdin, but the algorithm must be designed to read from a pipe rather than a file. Many custom algorithms expect file input, causing a failure. Option A is correct because Pipe mode is incompatible with algorithms expecting File mode. Option B is incorrect because instance size does not affect data reading. Option C is incorrect because the data is not compressed. Option D is incorrect because the training image is accessible.
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 algorithm expects File mode but Pipe mode is specified
Why this is correct
Pipe mode sends data via pipe; algorithms expecting files will fail.
- ✗
The instance type is too small for the data
Why it's wrong here
No indication of resource exhaustion.
- ✗
The training data is compressed
Why it's wrong here
CompressionType is None.
- ✗
The training image is not accessible
Why it's wrong here
The image URI is valid and the job started.
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
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