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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q79-Q84):

NEW QUESTION # 79
Which of the following are true characteristics of bootstrapping in statistics?
(Choose two)

A. It requires a large population sample
B. It assumes a normal distribution
C. It enables confidence interval estimation
D. It uses random sampling with replacement

Answer: C,D

NEW QUESTION # 80
What is the main purpose of using the bootstrapping technique in inferential statistics?

A. To validate the syntax of SQL queries in Python
B. To increase the number of features in a model
C. To estimate the sampling distribution by resampling with replacement
D. To filter outliers from a dataset

Answer: C

NEW QUESTION # 81
What object-oriented principle allows a child class to reuse and extend the behavior of a parent class in a Python data modeling scenario?

A. Abstraction
B. Composition
C. Inheritance
D. Encapsulation

Answer: C

NEW QUESTION # 82
Which techniques can be used to select a subset of rows and columns from a DataFrame using labels?
(Choose two)

A. df.iloc[0:5, 'col2']
B. df.loc[:, 'col1']
C. df.loc[2:7, ['col1', 'col2']]
D. df['col1', 'col2']

Answer: B,C

NEW QUESTION # 83
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 # 84
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