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

1. What is the primary purpose of using a requirements.txt file in Python-based data projects?

A) To track script runtime dependencies during execution
B) To list the packages and versions required for consistent environment setup
C) To automatically compress source code for deployment
D) To store the current working directory of Python modules

2. Which method in the pandas library allows efficient loading of large datasets in chunks to conserve memory?

A) read_csv(chunksize=...)
B) fetch_chunks()
C) import_csv()
D) load_dataset()

3. Which practices contribute to better exception handling in data pipelines involving file I/O and numerical computations?
(Choose two)

A) Using specific exception types like FileNotFoundError or ZeroDivisionError
B) Suppressing all error output using pass
C) Catching all exceptions using a generic except: clause without specifying the error
D) Logging error messages for later inspection during failures

4. What is one potential risk of dynamically constructing SQL queries using string concatenation in Python scripts?

A) Exposure to SQL injection attacks
B) Missing foreign key constraints
C) Increased memory usage
D) Slower database performance

5. Which of the following practices contributes most to making Python scripts modular and maintainable?

A) Hard-coding file paths in every function
B) Structuring code with reusable functions and modules
C) Writing all logic in the global scope
D) Using global variables freely

Solutions: