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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q15-Q20):

NEW QUESTION # 15
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 reduce memory usage in the dataset
C. To avoid treating the same category as different due to case differences
D. To make string comparison operations slower

Answer: C

NEW QUESTION # 16
Which of the following statements best describes the structural relationship between Pandas Series and DataFrames?

A. A DataFrame is a one-dimensional array of Series
B. A Series contains multiple DataFrames
C. A Series can only be created from a DataFrame
D. A DataFrame is a two-dimensional container of Series objects

Answer: D

NEW QUESTION # 17
What is the main reason to remove duplicate records before performing analysis?

A. It helps increase sample size
B. It ensures training data is intentionally overfitted
C. It reduces redundancy that can skew statistical metrics
D. It avoids converting data to JSON format

Answer: C

NEW QUESTION # 18
What is the primary goal of pre-processing data before performing analysis?

A. To compress datasets for storage efficiency
B. To minimize the number of data points
C. To ensure the data is clean, consistent, and suitable for modeling
D. To obscure sensitive information

Answer: C

NEW QUESTION # 19
Which approaches are commonly used to extract structured data from APIs in Python?
(Choose two)

A. Load CSV directly with re.compile()
B. Open Excel files using matplotlib
C. Use the requests module to retrieve JSON responses
D. Access data using requests.get() and parse it with .json()

Answer: C,D

NEW QUESTION # 20
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