Python Institute PCAD-31-02 Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Webbased Practice Exam

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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q95-Q100):

NEW QUESTION # 95
When creating a line chart with Matplotlib, which function is most appropriate to add a text label at a specific data point?

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

Answer: B

NEW QUESTION # 96
What is the purpose of using the groupby() function in a Pandas DataFrame when analyzing a dataset with multiple categories and numerical values?

A. To split the data into subgroups for aggregation
B. To sort the DataFrame by a specific column
C. To append new rows to the DataFrame
D. To filter rows based on index values

Answer: A

NEW QUESTION # 97
What is the primary purpose of using annotations in a data visualization?

A. To ensure faster rendering in large datasets
B. To enhance interactivity in static plots
C. To replace the need for axes
D. To highlight important data points and provide contextual information

Answer: D

NEW QUESTION # 98
Why is it important to define and apply validation rules consistently across all stages of a data pipeline?

A. It automatically optimizes SQL queries
B. It guarantees compatibility with visualization tools
C. It prevents the propagation of corrupted or invalid data
D. It reduces processing time by skipping null checks

Answer: B

NEW QUESTION # 99
What will the following function return?
def average(*args):
return sum(args) / len(args)
average(4, 5, 6)

A. 5.0
B. Error
C. 0
D. (4, 5, 6)

Answer: A

NEW QUESTION # 100
......

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