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Python Institute PCED-30-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Working with Data and Performing Simple Analysis | 25% | - Exploratory data analysis
|
| Data Visualization and Communication | 20% | - Principles of effective data visualization
|
| Introduction to Data and Data Analysis Concepts | 22.5% | - Data lifecycle and ethical considerations
|
| Python Basics for Data Analysis | 32.5% | - Built-in modules for data work
|
Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:
1. A student writes a program using input() to collect user data, then tries to add 5 to the input value without conversion. The program crashes. What is the most likely cause of this behavior?
A) input returns int
B) Syntax error
C) input returns float
D) input returns string
2. You are creating a presentation slide to communicate findings about student stress levels across four categories over a six-month period. You include the following line graph in your presentation:
Your goal is to help your audience clearly understand trends in stress levels over time.
What is the highest problem with this visual presentation? Select the best answer.
A) The chart should be in 3D format to show depth and highlight differences more clearly.
B) The graph doesn't explain what each stress level means or show exact values for each month, which limits interpretation.
C) The lines are too light and similar in color, making it difficult to distinguish between trends.
D) The font used in the chart is hard to read; using larger, uppercase text would improve clarity.
E) The months should be replaced with week numbers to provide more detailed insight.
3. 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(set(colors))
color_counts = np.unique(colors)
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 = Counter(colors)
color_counts = sum(np.unique(colors))
import numpy as np
D) from collections import Counter
unique_colors = len(unique(colors))
color_counts = Counter(colors)
import numpy as np
4. You are writing a function named process_data()to read and process numerical input from a file. The function must:
- read the file data.txt,
- attempt to convert the first line into an integer,
- handle file, conversion, or index-related exceptions,
- print the value only if no error occurs,
- and always print a final message after execution.
Which implementation correctly and robustly meets all these conditions? Select the best answer.
A)
B)
C) 
5. A Python loop uses range(5, 0, -2) to iterate backward. The programmer expects a decreasing sequence. Which values will actually be generated when this loop runs?
A) 5, 3, 1
B) 5, 4, 3, 2, 1
C) 4, 2, 0
D) 5, 3
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: A |







