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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

1. Which method is used after grouping a DataFrame to compute the average value for each group in a specific column?

A) groupby().max()
B) groupby().mean()
C) groupby().aggregate()
D) groupby().count()

2. Which method is appropriate for combining two DataFrames based on a shared key column where non-matching rows should be excluded from the result?

A) join(..., how='outer')
B) merge(..., how='inner')
C) append()
D) concat()

3. 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) Allows the use of lambda for procedural logic
D) Supports clearer abstraction by modeling real-world entities

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 gracefully handle runtime errors without crashing the program
C) To ensure functions always return None
D) To enforce strict type annotations

5. Which actions are valid techniques for handling erroneous categorical values in a dataset?
(Choose two)

A) Normalizing using min-max scaling
B) Replacing inconsistent labels with a standardized value
C) Converting all values to integers
D) Removing rows with invalid labels

Solutions: