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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

1. Which conditions typically necessitate data normalization or scaling before analysis?
(choose two)

A) Presence of duplicate data
B) Features with different units and scales
C) Boolean feature encoding
D) Distance-based modeling algorithms

2. Which approaches help tailor data visualizations for non-technical stakeholders?
(Choose two)

A) Add context through narrative or titles
B) Use raw code outputs for clarity
C) Focus on trend and summary metrics
D) Use jargon-rich annotations

3. Which of the following would most likely be classified as unstructured data?

A) Collection of customer service audio recordings
B) Product ID and price list in a CSV
C) Inventory levels in a spreadsheet
D) Normalized employee database in PostgreSQL

4. Which Python tool or library is best suited for retrieving data from HTML tables on web pages?

A) math
B) pandas.read_html()
C) sqlalchemy
D) re

5. What is the benefit of using the __name__ == "__main__" construct in Python scripts?

A) It allows selective execution of code when run as a script
B) It allows access to all global variables
C) It prevents modules from being imported
D) It defines the main function in Python

Solutions: