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

2. When performing bootstrapping on a dataset with 500 observations, what is a typical procedure?

A) Creating samples by removing all duplicates
B) Scaling all values between 0 and 1 before resampling
C) Drawing one sample and calculating the mean only once
D) Generating multiple datasets of the same size by randomly sampling with replacement

3. Which operations are recommended when organizing messy tabular data in Pandas for further transformation and statistical modeling?
(choose two)

A) Converting the DataFrame to a Series
B) Ensuring consistent data types
C) Dropping column headers
D) Resetting the index after filtering

4. Why is it important to manage object identity correctly in complex data analysis pipelines?

A) It guarantees consistent hashing of string values
B) It avoids redundant copies and preserves shared state when required
C) It ensures type casting is consistently applied
D) It prevents reloading modules unnecessarily

5. Which technique is considered a primary defense against SQL injection when executing database queries from Python?

A) Escaping quotes manually in SQL strings
B) Using parameterized queries
C) Closing the database cursor after each query
D) Encrypting the database connection

Solutions: