MLS-C01 Exploratory Data Analysis Practice Question
Network Topology
A data scientist ran an AWS Glue ETL job that failed with the error shown. 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 DataFrame does not have a column named 'age'
The error message indicates that the column 'age' is not found in the DataFrame, which only contains columns [id, name, salary]. Option A is incorrect because the error is about a missing column, not a header mismatch. Option C is incorrect because schema evolution would add a column, not cause a missing column error. Option D is incorrect because there is no indication of a data type issue; the error is about column existence.
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 CSV file has a header mismatch
Why it's wrong here
Incorrect: The error specifically says column 'age' cannot be resolved, not a mismatch.
- ✓
The DataFrame does not have a column named 'age'
Why this is correct
Correct: The error states 'age' is not in the input columns.
- ✗
The schema is evolving incorrectly
Why it's wrong here
Incorrect: Schema evolution would add missing columns.
- ✗
The data type of 'age' is incompatible
Why it's wrong here
Incorrect: The error is about column existence, not type.
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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.