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

1. Which file formats are commonly used for hierarchical or nested data structures in data acquisition?
(Choose two)

A) XML
B) TSV
C) JSON
D) CSV

2. What distinguishes structured data from unstructured data in the context of data modeling and storage?

A) Unstructured data cannot be stored or analyzed
B) Unstructured data contains only numeric values
C) Structured data follows a consistent schema or format
D) Structured data cannot be stored in databases

3. What is the most appropriate way to ensure that a column used as a foreign key contains only valid references to a parent DataFrame in Pandas?

A) Use df.dropna() on the foreign key column
B) Use .isin() to compare the foreign key column against the parent key column
C) Use df.sort_values() to sort both columns before merging
D) Use df.merge() with how='outer'

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

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

5. 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) Advertising has no effect on sales
C) There is a strong positive correlation
D) The data shows no apparent relationship

Solutions: