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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
1. What is the primary role of the pandas library in the Python data science ecosystem?
A) Visualizing large datasets
B) Manipulating labeled data structures
C) Reducing execution time of compiled code
D) Performing statistical tests
2. Why is it important to adjust data presentations based on the audience's background?
A) To avoid using charts altogether
B) To simplify all metrics to percentages only
C) To ensure the data is understood and supports actionable insights
D) To include as many technical terms as possible
3. Which conditions typically necessitate data normalization or scaling before analysis?
(choose two)
A) Distance-based modeling algorithms
B) Boolean feature encoding
C) Presence of duplicate data
D) Features with different units and scales
4. When performing bootstrapping on a dataset with 500 observations, what is a typical procedure?
A) Drawing one sample and calculating the mean only once
B) Creating samples by removing all duplicates
C) Scaling all values between 0 and 1 before resampling
D) Generating multiple datasets of the same size by randomly sampling with replacement
5. 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) Using consistent indentation and naming conventions
D) Including in-line comments and docstrings
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: A,D | Question # 4 Answer: D | Question # 5 Answer: C,D |



