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

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

1. Which method is commonly used to handle missing numerical data in a dataset?

A) Multiplying all missing values by zero
B) Dropping all columns
C) Filling with the mean or median
D) Replacing with text labels

2. Why is it important to define and apply validation rules consistently across all stages of a data pipeline?

A) It guarantees compatibility with visualization tools
B) It automatically optimizes SQL queries
C) It reduces processing time by skipping null checks
D) It prevents the propagation of corrupted or invalid data

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

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

4. Which of the following libraries is specifically optimized for high-performance numerical computation with multi-dimensional arrays in Python?

A) matplotlib
B) NumPy
C) pandas
D) seaborn

5. Which method is typically used in Pandas to check if a column contains only values within an expected range?

A) df.sample()
B) df.clip()
C) df.isin()
D) df.sort_values()

Solutions: