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

1. 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

2. Which characteristics are typically associated with unstructured data formats?
(Choose two)

A) Lacks predefined data schema
B) Highly tabular and query-friendly
C) Requires parsing or transformation before analysis
D) Stored using fixed-width fields and records

3. What is the correct sequence to connect to a database and execute a query using the sqlite3 module in Python?

A) Commit → Connect → Execute → Close
B) Execute → Connect → Commit → Close
C) Connect → Execute → Commit → Close
D) Connect → Commit → Execute → Close

4. Which type of chart is most appropriate when comparing the distribution of a numerical variable across multiple categories?

A) Pie chart
B) Scatter plot
C) Box plot
D) Line chart

5. Which practices help maintain data integrity across large datasets in Pandas workflows?
(Choose two)

A) Sorting columns alphabetically
B) Defining and enforcing schema constraints
C) Using assertions to enforce domain-specific rules
D) Automatically converting all text to uppercase

Solutions: