Last Updated: Aug 17, 2026
No. of Questions: 52 Questions & Answers with Testing Engine
Download Limit: Unlimited
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| Section | Weight | Objectives |
|---|---|---|
| Data Visualization and Communication | 20% | - Creating basic visualizations
|
| 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 types and measurement scales
|
1. 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
2. A Python script checks membership using "a" in "apple". The developer wants to understand how membership works for strings. What result will this expression produce?
A) True
B) None
C) Error
D) False
3. How do the analysis and visualization stages of the data lifecycle typically work together?
A) Analysis summarizes archived data, and visualization transforms it into structured tables for storage.
B) Analysis retrieves raw inputs from dashboards, while visualization uses that input to clean the data.
C) Analysis identifies patterns and insights in processed data, which are then communicated through visualizations for informed decision-making.
D) Analysis produces charts and graphs, while visualization interprets the data to detect outliers.
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:
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
Then run this code:
import numpy as np
data = numpy.arr([10, 20, 30])
print(numpy.mean(data))
C) To install NumPy:
pip install numpy as np
Then run this code:
import np
data = np.array([10, 20, 30])
print(np.mean(data))
5. What will be the output of the following code?
A) 10 10
B) 10 5
C) 5 10
D) 5 5
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: D |
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