DA0-002 Data Acquisition and Preparation Practice Question
A data analyst is importing a CSV file that contains a mixture of numeric and text fields. What is the most common issue when importing?
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
✓
Data types being incorrectly inferred
Data type inference often fails, causing numbers to be read as text or vice versa. File size limitations, missing headers, and duplicate rows are less common or not specific to mixed types.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Duplicate rows
Why it's wrong here
Duplicates are a data quality issue, not an import issue.
- ✗
Missing header row
Why it's wrong here
Missing headers affect column naming, not type inference.
- ✓
Data types being incorrectly inferred
Why this is correct
CSV import tools often guess types incorrectly, leading to conversion errors.
- ✗
File size limitation
Why it's wrong here
File size is not specific to mixed data types.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DA0-002 practice question is part of Courseiva's free CompTIA 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 DA0-002 exam.