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

1. What does the describe() method in Pandas provide when applied to a numerical DataFrame column?

A) Basic descriptive statistics such as count, mean, and quartiles
B) A normalized version of the data column
C) Only the standard deviation of the data
D) A histogram of the data distribution

2. Which of the following is the most suitable data structure in Python for representing a tabular row with column names?

A) set
B) list
C) dictionary
D) tuple

3. What is the correct SQL statement to permanently remove a table named customers from a database?

A) DELETE TABLE customers;
B) TRUNCATE TABLE customers;
C) DROP TABLE customers;
D) REMOVE TABLE customers;

4. Which of the following would most likely be classified as unstructured data?

A) Product ID and price list in a CSV
B) Normalized employee database in PostgreSQL
C) Collection of customer service audio recordings
D) Inventory levels in a spreadsheet

5. Which best practices help enhance database security when building Python data analysis pipelines?
(Choose two)

A) Limit database user permissions to only necessary operations
B) Store credentials securely using environment variables
C) Sanitize input by replacing dangerous characters with asterisks
D) Construct queries using f-strings for readability

Solutions: