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

1. When merging two Pandas DataFrames using a common key, which parameters are essential to ensure accurate and conflict-free results?
(Choose two)

A) suffixes
B) on
C) dropna
D) ignore_index

2. Which practices are considered part of professional Python scripting standards?
(Choose two)

A) Using consistent indentation and naming conventions
B) Avoiding error handling to keep code clean
C) Avoiding use of modules and libraries
D) Including in-line comments and docstrings

3. What is the purpose of using the groupby() function in a Pandas DataFrame when analyzing a dataset with multiple categories and numerical values?

A) To split the data into subgroups for aggregation
B) To sort the DataFrame by a specific column
C) To append new rows to the DataFrame
D) To filter rows based on index values

4. Which command should a data analyst use to install the pandas library in a Python environment using the Python Package Index?

A) python get pandas
B) python install pandas
C) install pip pandas
D) pip install pandas

5. Which approaches are commonly used to extract structured data from APIs in Python?
(Choose two)

A) Use the requests module to retrieve JSON responses
B) Open Excel files using matplotlib
C) Load CSV directly with re.compile()
D) Access data using requests.get() and parse it with .json()

Solutions: