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

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

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

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

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

3. In a scatter plot showing the relationship between advertising spend and sales revenue, the points form a tight upward-sloping pattern. What conclusion can be drawn?

A) The correlation is weak and likely negative
B) There is a strong positive correlation
C) The data shows no apparent relationship
D) Advertising has no effect on sales

4. When analyzing a dataset, which of the following functions would best help detect skewness or asymmetry in the data distribution?

A) skew()
B) std()
C) mean()
D) sum()

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

Solutions: