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

2. When fetching DATETIME values from a SQL database into Python, which Python data type is most appropriate for storing and manipulating these values?

A) time.struct_time
B) datetime.datetime
C) str
D) float

3. Which conditions typically necessitate data normalization or scaling before analysis?
(choose two)

A) Distance-based modeling algorithms
B) Boolean feature encoding
C) Presence of duplicate data
D) Features with different units and scales

4. What is the correct SQL statement to permanently remove a table named customers from a database?

A) TRUNCATE TABLE customers;
B) DROP TABLE customers;
C) REMOVE TABLE customers;
D) DELETE TABLE customers;

5. In supervised learning, what is the primary goal when training a model on labeled data?

A) To cluster data points into similar groups
B) To learn a function that maps inputs to known outputs
C) To discover hidden patterns without outputs
D) To analyze unstructured data formats like text

Solutions: