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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. What is the main purpose of using the bootstrapping technique in inferential statistics?

A) To validate the syntax of SQL queries in Python
B) To filter outliers from a dataset
C) To increase the number of features in a model
D) To estimate the sampling distribution by resampling with replacement

2. What is a major challenge in aggregating data from multiple sources?
Response:

A) Excessive disk space usage
B) Duplicate records and format inconsistencies
C) Increased algorithmic complexity
D) Overfitting in predictive models

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

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

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

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

5. Which file format is most suitable for exchanging large tabular datasets with consistent column data types across systems?

A) .xml
B) .json
C) .txt
D) .csv

Solutions: