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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) NumPy
B) matplotlib
C) pandas
D) seaborn

2. What is the primary advantage of using web scraping as a data collection method in business analytics?

A) It guarantees real-time data accuracy
B) It allows automation of data collection from public sources
C) It ensures compliance with privacy laws
D) It eliminates the need for data cleaning

3. Which techniques can be used to select a subset of rows and columns from a DataFrame using labels?
(Choose two)

A) df.iloc[0:5, 'col2']
B) df.loc[:, 'col1']
C) df['col1', 'col2']
D) df.loc[2:7, ['col1', 'col2']]

4. What is a major challenge in aggregating data from multiple sources?
Response:

A) Increased algorithmic complexity
B) Overfitting in predictive models
C) Duplicate records and format inconsistencies
D) Excessive disk space usage

5. Which best practices help enhance database security when building Python data analysis pipelines?
(Choose two)

A) Limit database user permissions to only necessary operations
B) Construct queries using f-strings for readability
C) Sanitize input by replacing dangerous characters with asterisks
D) Store credentials securely using environment variables

Solutions: