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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 of the following statements correctly describe best practices when managing Python modules and packages in data analytics workflows?
(Choose two)

A) Use virtual environments to isolate project dependencies
B) Regularly update all packages using pip update all
C) Use PIP to install and uninstall third-party libraries as needed
D) Always install packages system-wide for accessibility

2. When analyzing a sales dataset using Pandas, which of the following techniques help extract key insights by grouping and summarizing the data?
(Choose two)

A) Using fillna() to replace missing product prices
B) Applying agg() to calculate multiple metrics like mean and max
C) Using rename() to change column headers
D) Using groupby() to compute total sales per region

3. Which of the following is the most suitable data structure in Python for representing a tabular row with column names?

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

4. Which techniques can be used to select a subset of rows and columns from a DataFrame using labels?
(Choose two)

A) df['col1', 'col2']
B) df.loc[2:7, ['col1', 'col2']]
C) df.iloc[0:5, 'col2']
D) df.loc[:, 'col1']

5. Which refinements are typically used to enhance clarity and presentation quality in visualizations?
(Choose two)

A) Avoiding color entirely
B) Adding descriptive axis labels
C) Disabling grid lines in all cases
D) Customizing tick labels

Solutions: