Python Institute - PCAD-31-02–Professional Associate Level Exam

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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

>> PCAD-31-02 Associate Level Exam <<

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q103-Q108):

NEW QUESTION # 103
Which techniques are commonly used to manage type conversion between SQL and Python when importing database values?
(Choose two)

A. Defining column types in Python using sqlite3.register_converter()
B. Using a mapping function to convert SQL types into Python objects
C. Automatically casting Python variables to SQL column types without validation
D. Ignoring data types and treating everything as strings

Answer: A,B

NEW QUESTION # 104
What is the primary purpose of using annotations in a data visualization?

A. To enhance interactivity in static plots
B. To highlight important data points and provide contextual information
C. To ensure faster rendering in large datasets
D. To replace the need for axes

Answer: B

NEW QUESTION # 105
Which Python feature allows the reuse of logic in different data processing steps, reducing duplication and improving maintainability?

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

Answer: A

NEW QUESTION # 106
Which of the following practices contributes most to making Python scripts modular and maintainable?

A. Hard-coding file paths in every function
B. Using global variables freely
C. Writing all logic in the global scope
D. Structuring code with reusable functions and modules

Answer: D

NEW QUESTION # 107
Which Pandas methods are commonly used to extract central tendency and dispersion insights from a DataFrame?
(Choose two)

A. pivot_table()
B. var()
C. sort_values()
D. median()

Answer: B,D

NEW QUESTION # 108
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