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Python Institute PCED-30-02 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Python Programming Fundamentals | - Basic syntax and data types
|
| Topic 2: Data Handling and Processing with Python | - Data manipulation libraries
|
| Topic 3: Data Analysis and Visualization | - Data visualization
|
| Topic 4: Basic Statistics for Data Analysis | - Descriptive statistics
|
Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:
Question 1
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.strip().split(', ')
B. fields = line.split(', ').trim()
C. fields = line.replace(', ', '|').split('|')
D. fields = line.split().strip(', ')
Question 2
A script defines a variable x = None and checks its truth value using a conditional statement. The developer wants to understand how Python evaluates None in Boolean contexts. What will bool(x) return?
A. Error
B. False
C. True
D. None
Question 3
How do the analysis and visualization stages of the data lifecycle typically work together?
A. Analysis summarizes archived data, and visualization transforms it into structured tables for storage.
B. Analysis produces charts and graphs, while visualization interprets the data to detect outliers.
C. Analysis retrieves raw inputs from dashboards, while visualization uses that input to clean the data.
D. Analysis identifies patterns and insights in processed data, which are then communicated through visualizations for informed decision-making.
Question 4
You want to safely read the contents of a file named records.txtand store them in a list. Your requirements are:
- The file should be automatically closed after reading,
- The code should check whether the file exists before opening it, and
- It should handle missing file errors gracefully.
Which of the following is the most appropriate way to accomplish this task in Python? Select the best answer.
A. 
B. 
C. 
D. 
Question 5
You are developing a temperature control module for a laboratory incubator. Your objectives are to:
- generate timestamps every 10 minutes over a 3-hour span (i.e., 0 to 180 minutes), and
- simulate five evenly spaced target temperatures between 35.0°C and 37.0°C for system calibration.
Which code snippet correctly produces both sequences using NumPy? Select the best answer.
import numpy as np
A. timestamps = np.linspace(0, 180, 10)
target_temps = np.arange(35.0, 37.0, 5)
import numpy as np
B. timestamps = np.linspace(0, 181, 10)
target_temps = np.arange(35.0, 37.0, 0.5)
import numpy a3 np
C. timestamps = np.arange(0, 180, 10)
target_temps = np.linspace(35.0, 37.0, 4)
import numpy as np
D. timestamps = np.arange(0, 181, 10)
target_temps = np.linspace(35.0, 37.0, 5)
Solutions:
| Question 1 Answer: A | Question 2 Answer: B | Question 3 Answer: D | Question 4 Answer: A | Question 5 Answer: D |
