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

1. What is the main reason for using try-except blocks in a data analysis script that reads multiple files?

A) To ensure functions always return None
B) To gracefully handle runtime errors without crashing the program
C) To automatically restart the script after execution
D) To enforce strict type annotations

2. Which operations are valid and commonly used on Python lists during data transformation tasks?
(Choose two)

A) Key-value mapping
B) Index-based iteration
C) Append
D) Slicing

3. 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) list
C) dictionary
D) tuple

4. Which features of object-oriented patterns improve clarity and reusability in Python analysis workflows?
(Choose all that apply)

A) Replacing all functions with lambda expressions
B) Encapsulating behavior in class methods
C) Using global variables instead of object properties
D) Applying inheritance to avoid redundant code

5. Which data collection method is most appropriate when gathering opinions from a target audience at scale?

A) Transactional data
B) Surveys
C) Sensor logs
D) Web scraping

Solutions: