Quiz PCAD-31-02 - Accurate Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Latest Test Report

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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q71-Q76):

NEW QUESTION # 71
What is the main advantage of using Seaborn over Matplotlib when creating complex statistical visualizations in Python?

A. Seaborn automatically saves plots as image files
B. Seaborn requires no data preprocessing for missing values
C. Seaborn provides high-level abstractions for attractive and informative graphics
D. Seaborn works exclusively with NumPy arrays

Answer: C

NEW QUESTION # 72
What is a major challenge in aggregating data from multiple sources?
Response:

A. Duplicate records and format inconsistencies
B. Overfitting in predictive models
C. Excessive disk space usage
D. Increased algorithmic complexity

Answer: A

NEW QUESTION # 73
What is the best approach when comparing SQL NULL values with Python data during conditional checks?

A. Convert all NULL to string before comparison
B. Use == None directly in SQL queries
C. Replace NULL with zero before importing
D. Use Python's None and SQL's IS NULL clause

Answer: D

NEW QUESTION # 74
Which actions are considered part of basic data validation tasks in Python using Pandas?
(Choose two)

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

Answer: B,C

NEW QUESTION # 75
Which type of chart is most appropriate when comparing the distribution of a numerical variable across multiple categories?

A. Box plot
B. Pie chart
C. Line chart
D. Scatter plot

Answer: A

NEW QUESTION # 76
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