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Python Institute PCAD-31-02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Acquisition and Pre-Processing	29.2%
Topic 2: Statistical Methods and Modeling
Topic 3: SQL and Data Management
Topic 4: Exploratory Data Analysis
Topic 5: Data Visualization and Communication

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q28-Q33):

NEW QUESTION # 28
What is the primary reason for converting all categorical labels to lowercase during the data cleaning process?

A. To improve data visualization aesthetics
B. To avoid treating the same category as different due to case differences
C. To make string comparison operations slower
D. To reduce memory usage in the dataset

Answer: B

NEW QUESTION # 29
What is the function of the melt() operation in Pandas when reshaping wide-format data?

A. Transposes the DataFrame
B. Combines multiple DataFrames
C. Sorts the DataFrame based on a column
D. Converts column values into rows

Answer: D

NEW QUESTION # 30
Which Python feature allows the reuse of logic in different data processing steps, reducing duplication and improving maintainability?

A. Tuple unpacking
B. Lambda functions
C. Custom functions
D. Global variables

Answer: C

NEW QUESTION # 31
What is the benefit of using the __name__ == "__main__" construct in Python scripts?

A. It defines the main function in Python
B. It allows selective execution of code when run as a script
C. It allows access to all global variables
D. It prevents modules from being imported

Answer: B

NEW QUESTION # 32
Which practices help ensure secure and effective execution of SQL queries in Python scripts?
(Choose all that apply)

A. Using string concatenation to insert variables into SQL
B. Wrapping SQL commands in try-except blocks
C. Employing parameterized statements for user-supplied data
D. Using string formatting to build SQL queries dynamically

Answer: B,C

NEW QUESTION # 33
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