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

1. What is the primary reason to use .head() and .tail() methods in pandas when exploring datasets?

A) To rename columns
B) To create visualizations
C) To delete missing values
D) To preview the first and last few rows of data

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

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

3. Which SQL clause is most appropriate when you need to filter records that meet a specific condition during data retrieval in an analytics pipeline?

A) WHERE
B) GROUP BY
C) HAVING
D) ORDER BY

4. Which of the following libraries is specifically optimized for high-performance numerical computation with multi-dimensional arrays in Python?

A) pandas
B) matplotlib
C) seaborn
D) NumPy

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

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

Solutions: