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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q135-Q140):

NEW QUESTION # 135
Which features of object-oriented patterns improve clarity and reusability in Python analysis workflows?
(Choose all that apply)

A. Applying inheritance to avoid redundant code
B. Using global variables instead of object properties
C. Replacing all functions with lambda expressions
D. Encapsulating behavior in class methods

Answer: A,D

NEW QUESTION # 136
What is the main reason for using try-except blocks in a data analysis script that reads multiple files?

A. To automatically restart the script after execution
B. To ensure functions always return None
C. To gracefully handle runtime errors without crashing the program
D. To enforce strict type annotations

Answer: C

NEW QUESTION # 137
Which SQL commands are typically used to retrieve and manipulate data in a data analysis context?
(Choose all that apply)
Response:

A. INSERT
B. ROLLBACK
C. SELECT
D. UPDATE

Answer: A,C

NEW QUESTION # 138
What is the most efficient way to handle missing values in a Pandas DataFrame when preparing a dataset for analysis that must maintain original index structure and avoid row deletions?

A. Use fillna() with a constant value
B. Apply interpolate() method
C. Use dropna() with axis=1
D. Use drop() to remove null rows

Answer: A

NEW QUESTION # 139
Which of the following statements correctly describe best practices when managing Python modules and packages in data analytics workflows?
(Choose two)

A. Always install packages system-wide for accessibility
B. Use virtual environments to isolate project dependencies
C. Regularly update all packages using pip update all
D. Use PIP to install and uninstall third-party libraries as needed

Answer: B,D

NEW QUESTION # 140
......

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