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

1. You have a list of product prices, and you need to remove duplicate values while maintaining the fastest performance. Which core data structure should you use?

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

2. What is the most appropriate way to ensure that a column used as a foreign key contains only valid references to a parent DataFrame in Pandas?

A) Use df.merge() with how='outer'
B) Use df.dropna() on the foreign key column
C) Use df.sort_values() to sort both columns before merging
D) Use .isin() to compare the foreign key column against the parent key column

3. Which actions are considered part of basic data validation tasks in Python using Pandas?
(Choose two)

A) Confirming numeric columns contain only integers
B) Checking for duplicate rows
C) Sorting the data frame by index
D) Replacing NULL values with placeholders

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

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

5. Which conditions typically necessitate data normalization or scaling before analysis?
(choose two)

A) Features with different units and scales
B) Presence of duplicate data
C) Boolean feature encoding
D) Distance-based modeling algorithms

Solutions: