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

2. Why is min-max scaling applied before using algorithms like K-Nearest Neighbors or SVM?

A) To compress all values into integers
B) To make all features interpretable as binary values
C) To prevent features with larger scales from dominating distance calculations
D) To convert strings into numeric values

3. Which of the following improves the readability of a spreadsheet used for collaborative data analysis?

A) Converting numeric values into images
B) Removing gridlines from all sheets
C) Using colored fonts to highlight every cell
D) Adding freeze panes to lock header rows

4. Which file formats are commonly used for hierarchical or nested data structures in data acquisition?
(Choose two)

A) CSV
B) TSV
C) XML
D) JSON

5. Which of the following would most likely be classified as unstructured data?

A) Product ID and price list in a CSV
B) Normalized employee database in PostgreSQL
C) Inventory levels in a spreadsheet
D) Collection of customer service audio recordings

Solutions: