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

1. What is a key assumption of linear regression that distinguishes it from logistic regression?

A) Predictors must be independent
B) The relationship between predictors and the outcome is linear
C) Output values must be binary
D) The target variable is unordered categorical

2. What is the key difference between the .iloc[] and .loc[] accessors when working with Series or DataFrames?

A) .loc[] does not allow slicing
B) .iloc[] allows label-based selection
C) .loc[] can only be used on Series
D) .iloc[] is position-based, while .loc[] is label-based

3. What is the main purpose of defining a class when working with complex data structures in a Python-based analysis project?

A) To ensure all values are stored as plain strings
B) To avoid using loops and conditional logic
C) To define global variables that persist across files
D) To encapsulate related data and behavior for better organization

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

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

5. Which metric is most appropriate for evaluating the accuracy of a classification model?

A) R-squared
B) Confusion matrix
C) Mean squared error
D) Precision

Solutions: