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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q104-Q109):

NEW QUESTION # 104
Which actions are valid techniques for handling erroneous categorical values in a dataset?
(Choose two)

A. Converting all values to integers
B. Removing rows with invalid labels
C. Replacing inconsistent labels with a standardized value
D. Normalizing using min-max scaling

Answer: B,C

NEW QUESTION # 105
What is the main purpose of validating a dataset before applying statistical analysis?

A. To generate more columns from the dataset
B. To visualize patterns more clearly
C. To ensure the dataset meets expected quality and structure
D. To sort the data alphabetically

Answer: C

NEW QUESTION # 106
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 define global variables that persist across files
C. To avoid using loops and conditional logic
D. To encapsulate related data and behavior for better organization

Answer: D

NEW QUESTION # 107
What is the primary purpose of using annotations in a data visualization?

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

Answer: D

NEW QUESTION # 108
Which of the following would most likely be classified as unstructured data?

A. Collection of customer service audio recordings
B. Product ID and price list in a CSV
C. Inventory levels in a spreadsheet
D. Normalized employee database in PostgreSQL

Answer: A

NEW QUESTION # 109
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