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

1. Which operation would most efficiently apply element-wise multiplication to two NumPy arrays of equal size?

A) numpy.outer()
B) array1.dot(array2)
C) numpy.matrix()
D) array1 * array2

2. What is the main reason for using try-except blocks in a data analysis script that reads multiple files?

A) To ensure functions always return None
B) To gracefully handle runtime errors without crashing the program
C) To enforce strict type annotations
D) To automatically restart the script after execution

3. When analyzing a dataset of customer ages, you calculate the mean, median, and mode. What does it indicate if all three values are approximately equal?

A) The dataset contains outliers
B) The dataset has a normal distribution
C) The dataset is uniformly distributed
D) The dataset is positively skewed

4. Why is it important to use a test dataset separate from the training dataset when evaluating a machine learning model?

A) To evaluate the model's performance on unseen data
B) To ensure the loss function is minimized
C) To optimize the model's training accuracy
D) To reduce the number of iterations during training

5. Which type of regression is most appropriate when the response variable is categorical, such as predicting customer churn (Yes/No)?

A) Polynomial regression
B) Linear regression
C) Logistic regression
D) Decision tree regression

Solutions: