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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

1. Which packages are most commonly used together in a data science workflow for data manipulation and visualization?
(Choose two)

A) flask
B) pandas
C) NumPy
D) Pygame

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

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

3. Which of the following would best validate the uniqueness of a primary key in a Pandas DataFrame?

A) df['id'].isnull().sum()
B) df['id'].fillna()
C) df['id'].nunique()
D) df['id'].duplicated().any()

4. What is a key advantage of using the Parquet file format over CSV in large-scale data pipelines?

A) Parquet supports schema evolution and columnar storage
B) Parquet files can only be used with Excel
C) Parquet stores data in plain text, making it human-readable
D) Parquet offers row-based compression

5. 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 enforce strict type annotations
C) To automatically restart the script after execution
D) To gracefully handle runtime errors without crashing the program

Solutions: