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

1. Which methods are typically used to assess relationships between variables in exploratory data analysis?
(Choose two)

A) Box plots
B) Correlation matrix
C) Scatter plots
D) Histogram analysis

2. Which practices contribute to better exception handling in data pipelines involving file I/O and numerical computations?
(Choose two)

A) Suppressing all error output using pass
B) Using specific exception types like FileNotFoundError or ZeroDivisionError
C) Logging error messages for later inspection during failures
D) Catching all exceptions using a generic except: clause without specifying the error

3. Which of the following statements best describes the structural relationship between Pandas Series and DataFrames?

A) A Series can only be created from a DataFrame
B) A Series contains multiple DataFrames
C) A DataFrame is a two-dimensional container of Series objects
D) A DataFrame is a one-dimensional array of Series

4. Which method is best suited to transform inconsistent entries such as "N/A", "missing", and empty strings into a standard missing value representation in a Pandas DataFrame?

A) df.sort_values()
B) df.replace()
C) df.dropna()
D) df.rename()

5. Which actions are considered best practices when managing datasets in Python using pandas?
(Choose two)

A) Use .describe() for summary statistics
B) Always convert all columns to strings
C) Use .info() to understand dataset structure
D) Replace missing values with hardcoded zeros without analysis

Solutions: