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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q12-Q17):

NEW QUESTION # 12
Which practices are typically part of the data integration process?
(Choose two)

A. Schema alignment
B. Data encryption
C. Format standardization
D. Neural network training

Answer: A,C

NEW QUESTION # 13
Which actions are considered part of basic data validation tasks in Python using Pandas?
(Choose two)

A. Checking for duplicate rows
B. Replacing NULL values with placeholders
C. Confirming numeric columns contain only integers
D. Sorting the data frame by index

Answer: A,C

NEW QUESTION # 14
What is the primary purpose of using annotations in a data visualization?

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

Answer: B

NEW QUESTION # 15
What does a Pearson correlation coefficient value of -0.9 imply about the relationship between two numerical variables?

A. A moderate non-linear association
B. No correlation
C. A weak positive relationship
D. A strong negative linear relationship

Answer: D

NEW QUESTION # 16
Which techniques can be used to select a subset of rows and columns from a DataFrame using labels?
(Choose two)

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

Answer: C,D

NEW QUESTION # 17
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