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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 practices are considered part of professional Python scripting standards?
(Choose two)

A) Including in-line comments and docstrings
B) Avoiding error handling to keep code clean
C) Using consistent indentation and naming conventions
D) Avoiding use of modules and libraries

2. Which of the following would most likely be classified as unstructured data?

A) Inventory levels in a spreadsheet
B) Collection of customer service audio recordings
C) Normalized employee database in PostgreSQL
D) Product ID and price list in a CSV

3. Why is it important to manage object identity correctly in complex data analysis pipelines?

A) It guarantees consistent hashing of string values
B) It avoids redundant copies and preserves shared state when required
C) It prevents reloading modules unnecessarily
D) It ensures type casting is consistently applied

4. 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 sort the DataFrame by a specific column
B) To filter rows based on index values
C) To split the data into subgroups for aggregation
D) To append new rows to the DataFrame

5. What is the main reason to remove duplicate records before performing analysis?

A) It reduces redundancy that can skew statistical metrics
B) It avoids converting data to JSON format
C) It ensures training data is intentionally overfitted
D) It helps increase sample size

Solutions: