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Python Institute PCED-30-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Working with Data and Performing Simple Analyses | 32.5% | - Data Cleaning and Transformation
|
| Python Basics for Data Analysis | 32.5% | - Data Structures
|
| Introduction to Data and Data Analysis Concepts | 22.5% | - Data Analysis Process and Workflow
|
| Communicating Insights and Reporting | 12.5% | - Data Visualization
|
Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:
Question #1
A program uses slicing on a string "Python". The expression s[1:4] is evaluated. Which substring will be returned?
A. yth
B. tho
C. ytho
D. ythn
Question #2
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. 
Question #3
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. 4, 2, 0
B. 5, 3, 1
C. 5, 4, 3, 2, 1
D. 5, 3
Question #4
An e-commerce site records every product view and purchase.
Which of the following best describes how these logs become marketing insights?
A. Raw event logs are stored, archived, and indexed - like by user ID and session - which then facilitate audit trails.
B. Raw event logs are filtered, aggregated, and formatted into summaries - like total visits per category - which then provide traffic reports.
C. Raw event logs are validated, organized, and compiled into datasets - like timestamped user actions - which then support system debugging.
D. Raw event logs are structured, analyzed, and interpreted into information - like conversion rates by product - which then builds knowledge of customer preferences.
Question #5
You are given the following list of daily step counts:
steps = [8230, 9020, 7640, 8760, 10020, 2546, 9817]
Your task is to calculate:
- the standard deviation of the step counts,
- the average rounded up to the nearest whole number, and
- the median of the step counts.
Which code snippet correctly performs all three tasks? Select the best answer.
import statistics
A. import math
print(statistics.variance(steps))
print(math.ceil(sum(steps) / len(steps)))
print(math.floor(statistics.median(steps)))
import statistics
B. import math
print(statistics.stdev(steps))
print(round(math.mean(steps)))
print(math.median(steps))
import statistics
C. import math
print(math.stdev(steps))
print(statistics.mean(steps))
print(statistics.median(steps))
import statistics
D. import math
print(statistics.stdev(steps))
print(math.ceil(statistics.mean(steps)))
print(statistics.median(steps))
Solutions:
| Question #1 Correct Answer: A | Question #2 Correct Answer: A | Question #3 Correct Answer: B | Question #4 Correct Answer: D | Question #5 Correct Answer: D |


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