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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Objectives
Python Programming Fundamentals	- Basic syntax and data types 1. Variables and operators 2. Control flow basics
Data Analysis and Visualization	- Data cleaning and preprocessing 1. Missing values handling 2. Data transformation techniques - Data visualization 1. Matplotlib basics 2. Plot interpretation
Data Handling and Processing with Python	- Working with data structures 1. Iterating and transformations 2. Lists, tuples, dictionaries - Data manipulation libraries 1. NumPy basics 2. Pandas fundamentals
Basic Statistics for Data Analysis	- Descriptive statistics 1. Variance and standard deviation 2. Mean, median, mode

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q16-Q21):

NEW QUESTION # 16
You are analyzing survey results from students about their favorite colors. The list colorsstores individual responses:

You want to:
- find the number of unique colors mentioned using NumPy, and
- determine how often each color was chosen using Counter.
Which code snippet correctly performs both tasks? Select the best answer.
from numpy import unique

A. from collections import Counter
unique_colors = len(unique(colors))
color_counts = Counter(colors)
import numpy as np
B. from collections import Counter
unique_colors = np.unique(colors)
color_counts = Counter(set(colors))
import numpy as np
C. from collections import Counter
unique_colors = len(set(colors))
color_counts = np.unique(colors)
D. from collections import Counter
unique_colors = Counter(colors)
color_counts = sum(np.unique(colors))
import numpy as np

Answer: A

Explanation:
numpy.unique returns the distinct values in the list, and taking its length gives the number of unique colors. Counter(colors) correctly counts how many times each color appears in the responses.

NEW QUESTION # 17
The following chart shows how a student spends 24 hours in a day:

Which statements are most accurate? (Choose two.)

A. Sleep and school take up the majority of time in a day.
B. More time is spent commuting than on leisure.
C. Leisure and meals combined equal the time spent at school.
D. Commuting is the second most time-consuming activity.
E. Leisure accounts for a moderate portion of the student's daily schedule, larger than commuting but smaller than the time spent at school.
F. School and homework together take up half of the day's time.

Answer: A,E

NEW QUESTION # 18
You are reading a data.csvfile line by line. To prepare each line for formatting with f-strings, you need to remove extra whitespace and split the values by commas.
Which line should you insert to correctly clean and parse the input?

A. fields = line.split(', ').trim()
B. fields = line.strip().split(', ')
C. fields = line.replace(', ', '|').split('|')
D. fields = line.split().strip(', ')

Answer: B

Explanation:
Stripping removes leading and trailing whitespace from the line, and then splitting on the comma- space delimiter correctly separates the values into a list for further formatting.

NEW QUESTION # 19
How do the analysis and visualization stages of the data lifecycle typically work together?

A. Analysis retrieves raw inputs from dashboards, while visualization uses that input to clean the data.
B. Analysis summarizes archived data, and visualization transforms it into structured tables for storage.
C. Analysis produces charts and graphs, while visualization interprets the data to detect outliers.
D. Analysis identifies patterns and insights in processed data, which are then communicated through visualizations for informed decision-making.

Answer: D

Explanation:
Analysis involves examining processed data to uncover patterns, trends, and insights, and visualization presents those findings in graphical form so stakeholders can clearly understand and act on the results.

NEW QUESTION # 20
You are reading a data.csvfile line by line. To prepare each line for formatting with f-strings, you need to remove extra whitespace and split the values by commas.
Which line should you insert to correctly clean and parse the input?

A. fields = line.split(', ').trim()
B. fields = line.strip().split(', ')
C. fields = line.replace(', ', '|').split('|')
D. fields = line.split().strip(', ')

Answer: B

NEW QUESTION # 21
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