MLS-C01 Modeling Practice Question
Network Topology
Refer to the exhibit. A SageMaker training job failed with the error shown. What is the most likely cause of this error?
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 contains missing or invalid values
The error indicates that the input data contains NaN or infinite values. This is a data quality issue. The algorithm expects clean numeric values. The algorithm itself is fine; the training script may have a bug but the error specifically points to input data.
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 contains missing or invalid values
Why this is correct
NaN or infinity in data cause this error.
- ✗
The training algorithm is not compatible with the data type
Why it's wrong here
The algorithm can handle float64, but the data contains invalid values.
- ✗
The training instance type is not powerful enough
Why it's wrong here
Instance type does not cause NaN errors.
- ✗
The training script has a syntax error
Why it's wrong here
A syntax error would produce a different error, not a ValueError about data.
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