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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q132-Q137):

NEW QUESTION # 132
When creating a line chart with Matplotlib, which function is most appropriate to add a text label at a specific data point?

A. plt.annotate()
B. plt.title()
C. plt.xlabel()
D. plt.legend()

Answer: A

NEW QUESTION # 133
Why might using a pie chart to represent category proportions be less effective than a bar chart?

A. Pie charts display individual data points more clearly
B. Pie charts cannot be created using Seaborn
C. Human perception is less accurate at judging angles than lengths
D. Bar charts are limited to one variable only

Answer: C

NEW QUESTION # 134
When performing bootstrapping on a dataset with 500 observations, what is a typical procedure?

A. Creating samples by removing all duplicates
B. Scaling all values between 0 and 1 before resampling
C. Generating multiple datasets of the same size by randomly sampling with replacement
D. Drawing one sample and calculating the mean only once

Answer: C

NEW QUESTION # 135
Which practices enhance both readability and professionalism in spreadsheet formatting?
(Choose two)

A. Centering all data regardless of type
B. Aligning column headers to the left
C. Using uniform date formats across columns
D. Applying consistent font and cell styling

Answer: C,D

NEW QUESTION # 136
Which method is appropriate for combining two DataFrames based on a shared key column where non-matching rows should be excluded from the result?

A. merge(..., how='inner')
B. concat()
C. join(..., how='outer')
D. append()

Answer: A

NEW QUESTION # 137
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