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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q122-Q127):

NEW QUESTION # 122
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. Replacing all functions with lambda expressions
C. Applying inheritance to avoid redundant code
D. Encapsulating behavior in class methods

Answer: C,D

NEW QUESTION # 123
Which practices are considered part of professional Python scripting standards?
(Choose two)

A. Avoiding use of modules and libraries
B. Avoiding error handling to keep code clean
C. Including in-line comments and docstrings
D. Using consistent indentation and naming conventions

Answer: C,D

NEW QUESTION # 124
Which SQL clause is most appropriate when you need to filter records that meet a specific condition during data retrieval in an analytics pipeline?

A. GROUP BY
B. ORDER BY
C. WHERE
D. HAVING

Answer: C

NEW QUESTION # 125
Which Python construct allows you to iterate over a list of dictionary values and apply conditional logic to accumulate numerical values that meet a certain threshold?

A. filter() function with map
B. for loop with if condition
C. while loop with try block
D. lambda expression with reduce

Answer: B

NEW QUESTION # 126
When working with relational databases in Python, what are key components required to establish and manage database connections?
(Choose all that apply)

A. Python's random module for generating keys
B. Cursor object for executing queries
C. Database driver or module (e.g., sqlite3)
D. Connection object to interface with the database

Answer: C,D

NEW QUESTION # 127
......

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