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Python Institute PCAD-31-02 Exam Syllabus Topics:

Section	Weight	Objectives
Data Visualization and Communication
Exploratory Data Analysis
Data Acquisition and Pre-Processing	29.2%
Statistical Methods and Modeling
SQL and Data Management

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q99-Q104):

NEW QUESTION # 99
What is the benefit of using the __name__ == "__main__" construct in Python scripts?

A. It defines the main function in Python
B. It allows access to all global variables
C. It prevents modules from being imported
D. It allows selective execution of code when run as a script

Answer: D

NEW QUESTION # 100
Which features are commonly supported by both Matplotlib and Seaborn for customizing visualizations?
(Choose two)

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

Answer: B,C

NEW QUESTION # 101
Which chart types are commonly used to represent relationships between two numerical variables in Python-based visualizations?
(choose two)
Response:

A. Line chart
B. Heatmap
C. Histogram
D. Scatter plot

Answer: B,D

NEW QUESTION # 102
When creating a line chart with Matplotlib, which function is most appropriate to add a text label at a specific data point?

A. plt.title()
B. plt.legend()
C. plt.annotate()
D. plt.xlabel()

Answer: C

NEW QUESTION # 103
Which approaches help tailor data visualizations for non-technical stakeholders?
(Choose two)

A. Use raw code outputs for clarity
B. Use jargon-rich annotations
C. Add context through narrative or titles
D. Focus on trend and summary metrics

Answer: A,D

NEW QUESTION # 104
......

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