- Exam Code: PCED-30-02
- Exam Name: PCED - Certified Entry-Level Data Analyst with Python
- Updated: Nov 02, 2026
- Q & A: 52 Questions and Answers
Python Institute PCED-30-02 Exam : PCED - Certified Entry-Level Data Analyst with Python
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Python Institute PCED-30-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Communicating Insights and Reporting | 12.5% | - Data Visualization
|
| Topic 2: Python Basics for Data Analysis | 32.5% | - File Handling
|
| Topic 3: Introduction to Data and Data Analysis Concepts | 22.5% | - Data Analysis Process and Workflow
|
| Topic 4: Working with Data and Performing Simple Analyses | 32.5% | - Simple Analytical Techniques
|
Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:
Question #1
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, 181, 10)
target_temps = np.arange(35.0, 37.0, 0.5)
import numpy a3 np - B. timestamps = np.arange(0, 181, 10)
target_temps = np.linspace(35.0, 37.0, 5) - C. timestamps = np.arange(0, 180, 10)
target_temps = np.linspace(35.0, 37.0, 4)
import numpy as np - D. timestamps = np.linspace(0, 180, 10)
target_temps = np.arange(35.0, 37.0, 5)
import numpy as np
Correct Answer: B 🗳️
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Question #2
You are writing a function to validate battery voltage readings. The rules are:
- If the reading is "MISSING"or None, return "Missing".
- If the value is below 2.5or above 4.2, return "Outlier".
Otherwise, return "Normal".
Which version correctly implements this logic using the most robust conditional and nested structures? Select the best answer.
- A.
- B.
- C.
- D.
Correct Answer: C 🗳️
Explanation: Only visible for Exam4Tests members. You can sign-up / login (it's free).
Question #3
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.replace(', ', '|').split('|')
- B. fields = line.split().strip(', ')
- C. fields = line.split(', ').trim()
- D. fields = line.strip().split(', ')
Correct Answer: D 🗳️
Explanation: Only visible for Exam4Tests members. You can sign-up / login (it's free).
Question #4
How do the analysis and visualization stages of the data lifecycle typically work together?
- A. Analysis produces charts and graphs, while visualization interprets the data to detect outliers.
- B. Analysis summarizes archived data, and visualization transforms it into structured tables for storage.
- C. Analysis identifies patterns and insights in processed data, which are then communicated through visualizations for informed decision-making.
- D. Analysis retrieves raw inputs from dashboards, while visualization uses that input to clean the data.
Correct Answer: C 🗳️
Explanation: Only visible for Exam4Tests members. You can sign-up / login (it's free).
Question #5
You have a list of test scores, where each entry includes a student name and a score. Some students appear more than once. You want to compute the average score for each student and store the results in a dictionary. Here's the partial code block:
Which code correctly replaces the # MISSING CODE comment to calculate the average score for each student? Select the best answer.
- A.
- B.
- C.
- D.
Correct Answer: A 🗳️
Explanation: Only visible for Exam4Tests members. You can sign-up / login (it's free).
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