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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q50-Q55):

NEW QUESTION # 50
What is the main reason to remove duplicate records before performing analysis?

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

Answer: A

NEW QUESTION # 51
What is a key assumption of linear regression that distinguishes it from logistic regression?

A. The target variable is unordered categorical
B. Predictors must be independent
C. The relationship between predictors and the outcome is linear
D. Output values must be binary

Answer: C

NEW QUESTION # 52
What is the purpose of using df.loc[2:5, 'column1'] in a Pandas DataFrame?

A. Returns a new DataFrame excluding 'column1'
B. Returns rows 2 to 4 in 'column1'
C. Returns the entire DataFrame
D. Returns rows 2 through 5 in 'column1'

Answer: D

NEW QUESTION # 53
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. Unstructured data cannot be stored or analyzed
D. Structured data follows a consistent schema or format

Answer: D

NEW QUESTION # 54
What is the recommended Python library to connect and extract tabular data directly from an Excel file?

A. csv
B. matplotlib
C. openpyxl
D. sqlite3

Answer: C

NEW QUESTION # 55
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