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Exam Code: PCED-30-02
Exam Name: PCED - Certified Entry-Level Data Analyst with Python
Updated: Aug 27, 2026
Q & A: 52 Questions and Answers
PCED-30-02 Free Demo download
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Visualization and Communication | 20% | - Creating basic visualizations
|
| Topic 2: Introduction to Data and Data Analysis Concepts | 22.5% | - Data lifecycle and ethical considerations
|
| Topic 3: Working with Data and Performing Simple Analysis | 25% | - Exploratory data analysis
|
| Topic 4: Python Basics for Data Analysis | 32.5% | - Control flow and functions
|
Question 1
A dictionary is defined as d = {"a":1, "b":2}. The programmer accesses d["c"]. What happens when this line executes?
A. Returns 0
B. Adds key automatically
C. Returns None
D. Raises KeyError
Question 2
You are working with city names entered by users. These names may contain inconsistent capitalization and unwanted spaces.
To standardize the data, you want to:
- Remove any leading or trailing whitespace, and
- Capitalize the first letter of each word (e.g., convert "new york" to "New York").
For example:
" New york " → "New York"
"lOS ANGELES" → "Los Angeles"
You are given a variable citythat contains the raw input.
Which line of code correctly updates the value of cleaned_cityto apply the required transformation? Select the best answer.
A. cleaned_city = city.upper().strip()
B. cleaned_city = city.strip().title()
C. cleaned_city = city.strip().capitalize()
D. cleaned_city = city.upper().replace(" ", "")
Question 3
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:
from pip install numpy
Then run this code:
import numpy as np
data = np.array([10, 20, 30])
print(np.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:
pip install numpy
Then run this code:
import numpy as np
data = numpy.arr([10, 20, 30])
print(numpy.mean(data))
Question 4
Consider a Python program that assigns a string value "5" to a variable and then attempts to multiply it by an integer 3. The programmer expects numeric multiplication. What will actually happen when the code is executed?
A. 8
B. 15
C. "555"
D. Error
Question 5
A programmer writes a script to test operator precedence using the expression 3 + 4 * 2 ** 2. The goal is to evaluate the result correctly based on Python's operator hierarchy rules. What result should the script produce?
A. 19
B. 49
C. 28
D. 35
Solutions:
| Question 1 Answer: D | Question 2 Answer: B | Question 3 Answer: A | Question 4 Answer: C | Question 5 Answer: A |
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