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

1. What is the best approach when comparing SQL NULL values with Python data during conditional checks?

A) Convert all NULL to string before comparison
B) Replace NULL with zero before importing
C) Use Python's None and SQL's IS NULL clause
D) Use == None directly in SQL queries

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

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

3. Which techniques are commonly used to manage type conversion between SQL and Python when importing database values?
(Choose two)

A) Defining column types in Python using sqlite3.register_converter()
B) Automatically casting Python variables to SQL column types without validation
C) Ignoring data types and treating everything as strings
D) Using a mapping function to convert SQL types into Python objects

4. Which method in a Python class is responsible for initializing the object's attributes at the time of creation?

A) __init__()
B) __str__()
C) __getattr__()
D) __main__()

5. What is a key advantage of using the Parquet file format over CSV in large-scale data pipelines?

A) Parquet stores data in plain text, making it human-readable
B) Parquet offers row-based compression
C) Parquet files can only be used with Excel
D) Parquet supports schema evolution and columnar storage

Solutions: