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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 of object-oriented patterns improve clarity and reusability in Python analysis workflows?
(Choose all that apply)

A) Applying inheritance to avoid redundant code
B) Using global variables instead of object properties
C) Encapsulating behavior in class methods
D) Replacing all functions with lambda expressions

2. Which of the following statements correctly describe best practices when managing Python modules and packages in data analytics workflows?
(Choose two)

A) Use PIP to install and uninstall third-party libraries as needed
B) Use virtual environments to isolate project dependencies
C) Always install packages system-wide for accessibility
D) Regularly update all packages using pip update all

3. Which conditions typically necessitate data normalization or scaling before analysis?
(choose two)

A) Features with different units and scales
B) Boolean feature encoding
C) Distance-based modeling algorithms
D) Presence of duplicate data

4. When analyzing a dataset of customer ages, you calculate the mean, median, and mode. What does it indicate if all three values are approximately equal?

A) The dataset has a normal distribution
B) The dataset is uniformly distributed
C) The dataset is positively skewed
D) The dataset contains outliers

5. Which of the following best describes the purpose of the plt.subplot() function in Matplotlib?

A) It links Matplotlib with Seaborn's grid styling
B) It overlays multiple plots in the same figure without axes
C) It creates a 3D surface plot using pandas
D) It configures multiple plots in a grid layout within a single figure

Solutions: