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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

1. Which features of object-oriented patterns improve clarity and reusability in Python analysis workflows?
(Choose all that apply)

A) Using global variables instead of object properties
B) Replacing all functions with lambda expressions
C) Encapsulating behavior in class methods
D) Applying inheritance to avoid redundant code

2. What is the primary difference between the == operator and the is operator in Python when used in a data pipeline?

A) is compares dictionary keys, while == compares keys and values
B) is checks value equality, while == checks for data type compatibility
C) == compares values for equality, while is checks for object identity
D) == checks identity, while is compares memory addresses

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

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

4. What is the purpose of using df.loc[2:5, 'column1'] in a Pandas DataFrame?

A) Returns rows 2 to 4 in 'column1'
B) Returns a new DataFrame excluding 'column1'
C) Returns the entire DataFrame
D) Returns rows 2 through 5 in 'column1'

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

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

Solutions: