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Python Institute PCAD-31-02 Exam Syllabus Topics:

Section	Weight	Objectives
Statistical Methods and Modeling
Data Visualization and Communication
SQL and Data Management
Data Acquisition and Pre-Processing	29.2%
Exploratory Data Analysis

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q18-Q23):

NEW QUESTION # 18
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.merge() with how='outer'
B. Use df.dropna() on the foreign key column
C. Use df.sort_values() to sort both columns before merging
D. Use .isin() to compare the foreign key column against the parent key column

Answer: D

NEW QUESTION # 19
What is the recommended Python library to connect and extract tabular data directly from an Excel file?

A. matplotlib
B. csv
C. sqlite3
D. openpyxl

Answer: D

NEW QUESTION # 20
Which features of object-oriented patterns improve clarity and reusability in Python analysis workflows?
(Choose all that apply)

A. Using global variables instead of object properties
B. Encapsulating behavior in class methods
C. Replacing all functions with lambda expressions
D. Applying inheritance to avoid redundant code

Answer: B,D

NEW QUESTION # 21
Which best practices help enhance database security when building Python data analysis pipelines?
(Choose two)

A. Construct queries using f-strings for readability
B. Sanitize input by replacing dangerous characters with asterisks
C. Store credentials securely using environment variables
D. Limit database user permissions to only necessary operations

Answer: C,D

NEW QUESTION # 22
Which conditions typically necessitate data normalization or scaling before analysis?
(choose two)

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

Answer: A,B

NEW QUESTION # 23
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