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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 term best describes the process of combining customer data from multiple systems into a single unified dataset?

A) Data integration
B) Data normalization
C) Data warehousing
D) Data binning

2. 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 append new rows to the DataFrame
D) To split the data into subgroups for aggregation

3. Which techniques are commonly used to manage type conversion between SQL and Python when importing database values?
(Choose two)

A) Automatically casting Python variables to SQL column types without validation
B) Ignoring data types and treating everything as strings
C) Defining column types in Python using sqlite3.register_converter()
D) Using a mapping function to convert SQL types into Python objects

4. Which operations are recommended when organizing messy tabular data in Pandas for further transformation and statistical modeling?
(choose two)

A) Converting the DataFrame to a Series
B) Resetting the index after filtering
C) Dropping column headers
D) Ensuring consistent data types

5. What is the primary role of the pandas library in the Python data science ecosystem?

A) Manipulating labeled data structures
B) Performing statistical tests
C) Visualizing large datasets
D) Reducing execution time of compiled code

Solutions: