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Python Institute PCED-30-02 Q&A - in .pdf
- Exam Code: PCED-30-02
- Exam Name: PCED - Certified Entry-Level Data Analyst with Python
- Updated: Oct 05, 2026
- Q & A: 52 Questions and Answers
- Convenient, easy to study.
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- Updated: Oct 05, 2026
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- Exam Code: PCED-30-02
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Python Institute PCED-30-02 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Handling and Processing with Python | - Data manipulation libraries
|
| Data Analysis and Visualization | - Data visualization
|
| Basic Statistics for Data Analysis | - Descriptive statistics
|
| Python Programming Fundamentals | - Basic syntax and data types
|
Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:
Question #1
A data analyst exports a cleaned dataset from Python and wants to share it with a colleague for easy use in Excel.
Which file format is best suited for this purpose? Select the best answer.
- A. XML, because it automatically preserves spreadsheet formatting and charts.
- B. SQL, because it directly converts tabular data into database tables that Excel can open.
- C. CSV, because it stores tabular data in plain text and is compatible with spreadsheet applications.
- D. JSON, because it stores hierarchical data and is designed for visual presentation in Excel.
Correct Answer: C 🗳️
Explanation: Only visible for PracticeDump members. You can sign-up / login (it's free).
Question #2
A financial technology company is reviewing its data practices to ensure legal and ethical compliance.
Which of the following actions would support responsible data handling and align with regulations like GDPR, HIPAA, and CCPA? (Choose two.)
- A. Retaining user data permanently unless users explicitly request deletion.
- B. Providing users with a clear explanation of how their data is used and obtaining explicit consent.
- C. Implementing encryption for both stored and transmitted customer data.
- D. Automatically opting users into data sharing unless they manually change settings.
- E. Limiting data access only to marketing staff to streamline personalization.
Correct Answer: B,C 🗳️
Explanation: Only visible for PracticeDump members. You can sign-up / login (it's free).
Question #3
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. True
- C. None
- D. False
Correct Answer: D 🗳️
Explanation: Only visible for PracticeDump members. You can sign-up / login (it's free).
Question #4
You have collected sales data and want to compute the average using the NumPy library.
Which option correctly shows how to install NumPy and use it in your code to perform this task?
- A. To install NumPy:
pip install numpy
Then run this code:
import numpy as np
data = numpy.arr([10, 20, 30])
print(numpy.mean(data)) - B. To install NumPy:
pip install numpy as np
Then run this code:
import np
data = np.array([10, 20, 30])
print(np.mean(data)) - C. To install NumPy:
from pip install numpy
Then run this code:
import numpy as np
data = np.array([10, 20, 30])
print(np.mean(data))
Correct Answer: C 🗳️
Explanation: Only visible for PracticeDump 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: B 🗳️
Explanation: Only visible for PracticeDump members. You can sign-up / login (it's free).
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