Question 167 of 986
DA0-002 Data Analysis Practice Question
Exhibit
Refer to the exhibit.
import pandas as pd
df = pd.read_csv('data.csv')
df['total'] = df['price'] * df['quantity']
df.head()A data analyst runs the Python code shown. What is the result of executing this code?
⚠ Common exam trap
Test-takers frequently think `head()` shows all rows or that adding a column with an existing name throws an error, but pandas silently overwrites the column.
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
✓
It reads the data, adds a calculated column, and shows the first 5 rows
The code reads a CSV file into a pandas DataFrame, then creates a new column 'total' by summing columns 'col1' and 'col2'. Finally, `head()` returns the first 5 rows. Option A correctly describes this sequence of operations.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
It reads the data, adds a calculated column, and shows the first 5 rows
Why this is correct
The code does exactly that.
- ✗
It throws an error because 'total' column already exists
Why it's wrong here
If column exists, it would be overwritten; no error.
- ✗
It reads the data and displays all rows
Why it's wrong here
head() displays only first 5 rows.
- ✗
It reads the data and displays summary statistics
Why it's wrong here
head() does not produce summary statistics.
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Last reviewed: Jun 24, 2026
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