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

2. When analyzing a dataset, which of the following functions would best help detect skewness or asymmetry in the data distribution?

A) skew()
B) std()
C) sum()
D) mean()

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

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

4. When creating a line chart with Matplotlib, which function is most appropriate to add a text label at a specific data point?

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

5. Which term best describes the process of combining customer data from multiple systems into a single unified dataset?

A) Data binning
B) Data warehousing
C) Data integration
D) Data normalization

Solutions: