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

1. What is the purpose of using the groupby() function in a Pandas DataFrame when analyzing a dataset with multiple categories and numerical values?

A) To filter rows based on index values
B) To split the data into subgroups for aggregation
C) To append new rows to the DataFrame
D) To sort the DataFrame by a specific column

2. What is a best practice when organizing data in a spreadsheet for analysis?

A) Place charts in the middle of data tables
B) Merge cells to reduce redundancy
C) Use consistent column headers across all sheets
D) Apply conditional formatting to entire rows only

3. Which Python control structures are commonly used for data filtering and iterative operations in real-world analytics tasks?
(Choose two)

A) list comprehensions
B) decorators
C) match-case statements
D) while loops

4. What may occur if a model is evaluated using the same data it was trained on?

A) Underfitting
B) Data leakage
C) Overfitting
D) Overgeneralization

5. How would you extract the last three rows of a DataFrame df using position-based indexing?

A) df.iloc[-3:]
B) df.loc[-3:]
C) df[-3]
D) df.tail(3)

Solutions: