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

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

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

2. Which of the following statements correctly describe best practices when managing Python modules and packages in data analytics workflows?
(Choose two)

A) Regularly update all packages using pip update all
B) Use virtual environments to isolate project dependencies
C) Use PIP to install and uninstall third-party libraries as needed
D) Always install packages system-wide for accessibility

3. Why is min-max scaling applied before using algorithms like K-Nearest Neighbors or SVM?

A) To prevent features with larger scales from dominating distance calculations
B) To convert strings into numeric values
C) To make all features interpretable as binary values
D) To compress all values into integers

4. Which technique would be most appropriate to handle missing numerical values in a dataset intended for machine learning?

A) Filling with random values
B) Replacing with NULL
C) Imputation using mean or median
D) Dropping all columns

5. What does a Pearson correlation coefficient value of -0.9 imply about the relationship between two numerical variables?

A) A moderate non-linear association
B) A strong negative linear relationship
C) No correlation
D) A weak positive relationship

Solutions: