DA0-002 Data Acquisition and Preparation Practice Question
A data analyst is tasked with gathering data from a legacy system that only exports CSV files. The files contain headers but no data types. Which tool would best facilitate initial data exploration?
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
✓
Python pandas
Python pandas. Python pandas is ideal for initial data exploration of CSV files because it provides Series and DataFrames for tabular data, automatic type inference, and functions like head(), info(), describe() to quickly understand the data. Option A (Hadoop) is overkill for a simple CSV file exploration. Option B (Tableau) is primarily for visualization and requires data to be already structured or imported. Option C (SQL database) is not the best tool for immediate exploration since it requires database setup and data import. Therefore, Python pandas is the most appropriate tool for initial exploration of CSV 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.
- ✗
Hadoop
Why it's wrong here
Overkill for CSV exploration.
- ✗
Tableau
Why it's wrong here
Visualization-focused, not ideal without pre-processing.
- ✗
SQL database
Why it's wrong here
Requires importing data first.
- ✓
Python pandas
Why this is correct
Provides powerful data structures and functions for CSV exploration.
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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.