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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

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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 main purpose of defining a class when working with complex data structures in a Python-based analysis project?

A. To ensure all values are stored as plain strings
B. To avoid using loops and conditional logic
C. To define global variables that persist across files
D. To encapsulate related data and behavior for better organization

Answer: D

NEW QUESTION # 19
What is a best practice when organizing data in a spreadsheet for analysis?

A. Merge cells to reduce redundancy
B. Use consistent column headers across all sheets
C. Place charts in the middle of data tables
D. Apply conditional formatting to entire rows only

Answer: B

NEW QUESTION # 20
What distinguishes structured data from unstructured data in the context of data modeling and storage?

A. Unstructured data contains only numeric values
B. Structured data cannot be stored in databases
C. Structured data follows a consistent schema or format
D. Unstructured data cannot be stored or analyzed

Answer: C

NEW QUESTION # 21
Which SQL commands can be used to modify the contents of a table's data directly?
(Choose all that apply)

A. UPDATE
B. DELETE
C. INSERT
D. SELECT

Answer: A,C

NEW QUESTION # 22
When analyzing a sales dataset using Pandas, which of the following techniques help extract key insights by grouping and summarizing the data?
(Choose two)

A. Using fillna() to replace missing product prices
B. Using groupby() to compute total sales per region
C. Applying agg() to calculate multiple metrics like mean and max
D. Using rename() to change column headers

Answer: B,C

NEW QUESTION # 23
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