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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
1. What is the most appropriate way to ensure that a column used as a foreign key contains only valid references to a parent DataFrame in Pandas?
A) Use df.dropna() on the foreign key column
B) Use .isin() to compare the foreign key column against the parent key column
C) Use df.merge() with how='outer'
D) Use df.sort_values() to sort both columns before merging
2. Which of the following correctly demonstrates the use of parameterized queries using Python's sqlite3 module?
A) cursor.execute("SELECT * FROM users WHERE id = ':id'", {'id': user_id})
B) cursor.execute("SELECT * FROM users WHERE id = ?", user_id)
C) cursor.execute("SELECT * FROM users WHERE id = ?", (user_id,))
D) cursor.execute("SELECT * FROM users WHERE id = " + user_id)
3. Which practices are considered part of professional Python scripting standards?
(Choose two)
A) Using consistent indentation and naming conventions
B) Including in-line comments and docstrings
C) Avoiding use of modules and libraries
D) Avoiding error handling to keep code clean
4. What is the primary reason for using parameterized queries instead of directly formatting SQL strings in Python?
A) To allow dynamic table creation
B) To simplify data encryption
C) To prevent SQL injection vulnerabilities
D) To reduce the number of SQL statements
5. What is the main advantage of using Seaborn over Matplotlib when creating complex statistical visualizations in Python?
A) Seaborn provides high-level abstractions for attractive and informative graphics
B) Seaborn works exclusively with NumPy arrays
C) Seaborn requires no data preprocessing for missing values
D) Seaborn automatically saves plots as image files
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: A,B | Question # 4 Answer: C | Question # 5 Answer: A |



