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

1. Which SQL clause is most appropriate when you need to filter records that meet a specific condition during data retrieval in an analytics pipeline?

A) GROUP BY
B) WHERE
C) ORDER BY
D) HAVING

2. Which Python feature allows the reuse of logic in different data processing steps, reducing duplication and improving maintainability?

A) Lambda functions
B) Global variables
C) Custom functions
D) Tuple unpacking

3. Which techniques are commonly used to manage type conversion between SQL and Python when importing database values?
(Choose two)

A) Defining column types in Python using sqlite3.register_converter()
B) Using a mapping function to convert SQL types into Python objects
C) Automatically casting Python variables to SQL column types without validation
D) Ignoring data types and treating everything as strings

4. When working with relational databases in Python, what are key components required to establish and manage database connections?
(Choose all that apply)

A) Database driver or module (e.g., sqlite3)
B) Python's random module for generating keys
C) Connection object to interface with the database
D) Cursor object for executing queries

5. What is the primary reason for using parameterized queries instead of directly formatting SQL strings in Python?

A) To simplify data encryption
B) To allow dynamic table creation
C) To reduce the number of SQL statements
D) To prevent SQL injection vulnerabilities

Solutions: