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

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

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

2. What is the recommended Python library to connect and extract tabular data directly from an Excel file?

A) csv
B) openpyxl
C) sqlite3
D) matplotlib

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

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

4. Why is it important to define and apply validation rules consistently across all stages of a data pipeline?

A) It prevents the propagation of corrupted or invalid data
B) It automatically optimizes SQL queries
C) It guarantees compatibility with visualization tools
D) It reduces processing time by skipping null checks

5. Which Pandas methods are commonly used to extract central tendency and dispersion insights from a DataFrame?
(Choose two)

A) var()
B) pivot_table()
C) median()
D) sort_values()

Solutions: