Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) : PCAD-31-02

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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:

Question 1

Which actions are considered best practices when managing datasets in Python using pandas?
(Choose two)

A. Replace missing values with hardcoded zeros without analysis
B. Use .info() to understand dataset structure
C. Always convert all columns to strings
D. Use .describe() for summary statistics

Question 2

Which method is used after grouping a DataFrame to compute the average value for each group in a specific column?

A. groupby().count()
B. groupby().aggregate()
C. groupby().max()
D. groupby().mean()

Question 3

Why might using a pie chart to represent category proportions be less effective than a bar chart?

A. Human perception is less accurate at judging angles than lengths
B. Pie charts display individual data points more clearly
C. Pie charts cannot be created using Seaborn
D. Bar charts are limited to one variable only

Question 4

What is the main advantage of using Seaborn over Matplotlib when creating complex statistical visualizations in Python?

A. Seaborn provides high-level abstractions for attractive and informative graphics
B. Seaborn automatically saves plots as image files
C. Seaborn requires no data preprocessing for missing values
D. Seaborn works exclusively with NumPy arrays

Question 5

Which practices contribute to better exception handling in data pipelines involving file I/O and numerical computations?
(Choose two)

A. Catching all exceptions using a generic except: clause without specifying the error
B. Using specific exception types like FileNotFoundError or ZeroDivisionError
C. Suppressing all error output using pass
D. Logging error messages for later inspection during failures

Solutions: