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

1. What is the main reason to remove duplicate records before performing analysis?

A) It avoids converting data to JSON format
B) It ensures training data is intentionally overfitted
C) It reduces redundancy that can skew statistical metrics
D) It helps increase sample size

2. Which Pandas methods are commonly used to extract central tendency and dispersion insights from a DataFrame?
(Choose two)

A) sort_values()
B) pivot_table()
C) median()
D) var()

3. Which characteristics are typically associated with supervised learning algorithms?
(Choose two)

A) They require labeled training data
B) They automatically detect outliers
C) They are useful for regression and classification tasks
D) They work only with numerical features

4. Which of the following is the most suitable data structure in Python for representing a tabular row with column names?

A) set
B) tuple
C) dictionary
D) list

5. Which type of regression is most appropriate when the response variable is categorical, such as predicting customer churn (Yes/No)?

A) Decision tree regression
B) Polynomial regression
C) Logistic regression
D) Linear regression

Solutions: