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

1. Which practices are essential to ensure a fair evaluation of a machine learning model's performance?
(Choose two)

A) Using cross-validation to assess generalizability
B) Randomizing the test dataset labels
C) Splitting data into training and test sets
D) Training on the entire dataset including test records

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

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

3. Which Python constructs are useful for comparing and managing object identity in a data pipeline?
(Choose all that apply)

A) str() function to convert data formats
B) == operator for checking value equivalence
C) id() function to retrieve unique object identifiers
D) is operator for memory-level comparison

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

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

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

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

Solutions: