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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) Time-consuming process
B) Seamless integration with big data tools
C) Increased chance of human error
D) High scalability
2. Which two benefits are most closely associated with using object-oriented programming (OOP) in data analysis pipelines?
(Choose two)
A) Enables procedural programming only through decorators
B) Encourages code reuse through inheritance and modularity
C) Supports clearer abstraction by modeling real-world entities
D) Allows the use of lambda for procedural logic
3. What is the purpose of using the groupby() function in a Pandas DataFrame when analyzing a dataset with multiple categories and numerical values?
A) To append new rows to the DataFrame
B) To filter rows based on index values
C) To split the data into subgroups for aggregation
D) To sort the DataFrame by a specific column
4. 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 enforce strict type annotations
C) To gracefully handle runtime errors without crashing the program
D) To ensure functions always return None
5. Why is it important to manage object identity correctly in complex data analysis pipelines?
A) It guarantees consistent hashing of string values
B) It ensures type casting is consistently applied
C) It avoids redundant copies and preserves shared state when required
D) It prevents reloading modules unnecessarily
Solutions:
| Question # 1 Answer: A,C | Question # 2 Answer: B,C | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: C |


