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

1. What is the primary goal of pre-processing data before performing analysis?

A) To obscure sensitive information
B) To minimize the number of data points
C) To compress datasets for storage efficiency
D) To ensure the data is clean, consistent, and suitable for modeling

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

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

3. Which transformation method adjusts the mean of the dataset to 0 and the standard deviation to 1?

A) Min-max normalization
B) Z-score normalization
C) One-hot encoding
D) Log transformation

4. Which techniques can be used to select a subset of rows and columns from a DataFrame using labels?
(Choose two)

A) df.loc[2:7, ['col1', 'col2']]
B) df['col1', 'col2']
C) df.iloc[0:5, 'col2']
D) df.loc[:, 'col1']

5. 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) Bar charts are limited to one variable only
D) Pie charts cannot be created using Seaborn

Solutions: