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

1. Which storage system is best suited for storing and retrieving large volumes of unstructured data, such as images or logs?

A) Relational databases
B) Data cubes
C) In-memory databases
D) Object storage systems

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. What is the most efficient way to handle missing values in a Pandas DataFrame when preparing a dataset for analysis that must maintain original index structure and avoid row deletions?

A) Use fillna() with a constant value
B) Use drop() to remove null rows
C) Use dropna() with axis=1
D) Apply interpolate() method

4. You have a list of product prices, and you need to remove duplicate values while maintaining the fastest performance. Which core data structure should you use?

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

5. What is the primary reason to use .head() and .tail() methods in pandas when exploring datasets?

A) To preview the first and last few rows of data
B) To rename columns
C) To delete missing values
D) To create visualizations

Solutions: