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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
1. Which of the following are limitations of manual data collection methods?
(Choose two)
A) Increased chance of human error
B) Seamless integration with big data tools
C) High scalability
D) Time-consuming process
2. Which of the following libraries is specifically optimized for high-performance numerical computation with multi-dimensional arrays in Python?
A) NumPy
B) pandas
C) matplotlib
D) seaborn
3. What is the correct SQL statement to permanently remove a table named customers from a database?
A) REMOVE TABLE customers;
B) DELETE TABLE customers;
C) TRUNCATE TABLE customers;
D) DROP TABLE customers;
4. Which Pandas methods are commonly used to extract central tendency and dispersion insights from a DataFrame?
(Choose two)
A) median()
B) pivot_table()
C) sort_values()
D) var()
5. 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) Regularly update all packages using pip update all
C) Use virtual environments to isolate project dependencies
D) Use PIP to install and uninstall third-party libraries as needed
Solutions:
| Question # 1 Answer: A,D | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: A,D | Question # 5 Answer: C,D |








