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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. What is the function of the melt() operation in Pandas when reshaping wide-format data?

A) Combines multiple DataFrames
B) Sorts the DataFrame based on a column
C) Transposes the DataFrame
D) Converts column values into rows

2. 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) Applying inheritance to avoid redundant code
C) Encapsulating behavior in class methods
D) Using global variables instead of object properties

3. Why is it important to manage object identity correctly in complex data analysis pipelines?

A) It prevents reloading modules unnecessarily
B) It guarantees consistent hashing of string values
C) It ensures type casting is consistently applied
D) It avoids redundant copies and preserves shared state when required

4. What will the following function return?
def average(*args):
return sum(args) / len(args)
average(4, 5, 6)

A) (4, 5, 6)
B) Error
C) 15
D) 5.0

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

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

Solutions: