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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q126-Q131):

NEW QUESTION # 126
Which type of chart is most appropriate when comparing the distribution of a numerical variable across multiple categories?

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

Answer: D

NEW QUESTION # 127
Which refinements are typically used to enhance clarity and presentation quality in visualizations?
(Choose two)

A. Customizing tick labels
B. Adding descriptive axis labels
C. Avoiding color entirely
D. Disabling grid lines in all cases

Answer: A,B

NEW QUESTION # 128
Which of the following best describes the use of relational databases in analytics?

A. Used only for image processing
B. Suitable for managing tabular structured data
C. Best for real-time log ingestion
D. Cannot enforce schema

Answer: B

NEW QUESTION # 129
Which method is commonly used to handle missing numerical data in a dataset?

A. Dropping all columns
B. Filling with the mean or median
C. Replacing with text labels
D. Multiplying all missing values by zero

Answer: B

NEW QUESTION # 130
Which methods can be used to validate data types and structure in a Pandas DataFrame?
(Choose two)

A. df.to_csv()
B. df.info()
C. df.memory_usage()
D. df.dtypes

Answer: B,D

NEW QUESTION # 131
......

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