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

2. Which techniques are most effective when designing reusable and testable functions in Python?
(Choose two)

A) Avoiding external state or side effects
B) Use of default parameters
C) Returning print statements instead of values
D) Creating large monolithic functions

3. Which file format is most suitable for exchanging large tabular datasets with consistent column data types across systems?

A) .csv
B) .json
C) .txt
D) .xml

4. What is the primary purpose of using a requirements.txt file in Python-based data projects?

A) To list the packages and versions required for consistent environment setup
B) To store the current working directory of Python modules
C) To automatically compress source code for deployment
D) To track script runtime dependencies during execution

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

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

Solutions: