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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: SQL and Data Management
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 (Q133-Q138):

NEW QUESTION # 133
Which operation would most efficiently apply element-wise multiplication to two NumPy arrays of equal size?

A. numpy.outer()
B. numpy.matrix()
C. array1.dot(array2)
D. array1 * array2

Answer: D

NEW QUESTION # 134
Which Python tool or library is best suited for retrieving data from HTML tables on web pages?

A. math
B. sqlalchemy
C. pandas.read_html()
D. re

Answer: C

NEW QUESTION # 135
What is the main advantage of using Seaborn over Matplotlib when creating complex statistical visualizations in Python?

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

Answer: D

NEW QUESTION # 136
Which SQL clause is most appropriate when you need to filter records that meet a specific condition during data retrieval in an analytics pipeline?

A. GROUP BY
B. WHERE
C. ORDER BY
D. HAVING

Answer: B

NEW QUESTION # 137
Which of the following improves the readability of a spreadsheet used for collaborative data analysis?

A. Using colored fonts to highlight every cell
B. Converting numeric values into images
C. Adding freeze panes to lock header rows
D. Removing gridlines from all sheets

Answer: C

NEW QUESTION # 138
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