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

1. Which of the following libraries is specifically optimized for high-performance numerical computation with multi-dimensional arrays in Python?

A) seaborn
B) pandas
C) NumPy
D) matplotlib

2. What is the primary reason for converting all categorical labels to lowercase during the data cleaning process?

A) To improve data visualization aesthetics
B) To make string comparison operations slower
C) To avoid treating the same category as different due to case differences
D) To reduce memory usage in the dataset

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

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

4. What is the main purpose of using the bootstrapping technique in inferential statistics?

A) To estimate the sampling distribution by resampling with replacement
B) To filter outliers from a dataset
C) To validate the syntax of SQL queries in Python
D) To increase the number of features in a model

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

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

Solutions: