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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 features are commonly supported by both Matplotlib and Seaborn for customizing visualizations?
(Choose two)

A) Changing plot color palettes
B) Inserting audio annotations
C) Adding plot titles and axis labels
D) Automatic plot animations

2. What will the following function return?
def average(*args):
return sum(args) / len(args)
average(4, 5, 6)

A) 15
B) Error
C) 5.0
D) (4, 5, 6)

3. Which type of regression is most appropriate when the response variable is categorical, such as predicting customer churn (Yes/No)?

A) Decision tree regression
B) Polynomial regression
C) Linear regression
D) Logistic regression

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

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

5. Why is it important to define and apply validation rules consistently across all stages of a data pipeline?

A) It reduces processing time by skipping null checks
B) It automatically optimizes SQL queries
C) It guarantees compatibility with visualization tools
D) It prevents the propagation of corrupted or invalid data

Solutions: