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Python Institute PCED-30-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Python Basics for Data Analysis | 32.5% | - Control flow and functions
|
| Working with Data and Performing Simple Analysis | 25% | - Exploratory data analysis
|
| Introduction to Data and Data Analysis Concepts | 22.5% | - Data lifecycle and ethical considerations
|
| Data Visualization and Communication | 20% | - Principles of effective data visualization
|
Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:
Question #1
An online retailer collects customer reviews, order transaction logs, and product ratings.
Which of the following correctly classifies these types of data? Select the best answer.
A. Product ratings are qualitative and unstructured; customer reviews are quantitative and structured; transaction logs are semi-structured and qualitative.
B. Product ratings are qualitative and structured; customer reviews are qualitative and unstructured; transaction logs are quantitative and semi-structured.
C. Product ratings are quantitative and structured; customer reviews are qualitative and unstructured; transaction logs are structured and quantitative
D. Product ratings are quantitative and unstructured; customer reviews are structured and qualitative; transaction logs are quantitative and unstructured.
Question #2
Which of the following code snippets will output Truefor both printfunctions by correctly identifying the type of each variable and performing valid operations?
A.
B.
C.
D. 
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
A program compares two values using == and is. The variables a = 256 and b = 256 are defined.
What is the expected result of a is b in most Python implementations?
A. None
B. Error
C. True
D. False
Question #5
A program uses while False: followed by print statements inside the loop. The developer expects output. What will actually happen during execution?
A. Error
B. Infinite loop
C. Prints once
D. No execution
Solutions:
| Question #1 Answer: C | Question #2 Answer: B | Question #3 Answer: A | Question #4 Answer: C | Question #5 Answer: D |


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