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

1. What is the main purpose of validating a dataset before applying statistical analysis?

A) To ensure the dataset meets expected quality and structure
B) To generate more columns from the dataset
C) To visualize patterns more clearly
D) To sort the data alphabetically

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

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

3. Which Python construct allows you to iterate over a list of dictionary values and apply conditional logic to accumulate numerical values that meet a certain threshold?

A) filter() function with map
B) for loop with if condition
C) while loop with try block
D) lambda expression with reduce

4. Which operations are valid when working with Pandas Series?
(Choose two)

A) Merging by index using merge()
B) Using .columns to rename
C) Arithmetic vector operations
D) Applying NumPy universal functions

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

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

Solutions: