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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:

1. Which practices enhance both readability and professionalism in spreadsheet formatting?
(Choose two)

A) Applying consistent font and cell styling
B) Centering all data regardless of type
C) Using uniform date formats across columns
D) Aligning column headers to the left

2. When analyzing a sales dataset using Pandas, which of the following techniques help extract key insights by grouping and summarizing the data?
(Choose two)

A) Using groupby() to compute total sales per region
B) Using rename() to change column headers
C) Using fillna() to replace missing product prices
D) Applying agg() to calculate multiple metrics like mean and max

3. Which chart types are commonly used to represent relationships between two numerical variables in Python-based visualizations?
(choose two)
Response:

A) Heatmap
B) Histogram
C) Line chart
D) Scatter plot

4. Which Python feature allows the reuse of logic in different data processing steps, reducing duplication and improving maintainability?

A) Lambda functions
B) Tuple unpacking
C) Global variables
D) Custom functions

5. Which of the following is the most suitable data structure in Python for representing a tabular row with column names?

A) dictionary
B) set
C) tuple
D) list

Solutions: