Game-Based Intro: Module Exam Answers

---

• InfraCyber
• DSEP
• 3 mins read
• April 20, 2026

---

Game-Based Intro: Module Exam Answers 2026 Ful 100%

The Game-Based Intro: Module Exam Answers provides a comprehensive and engaging guide designed to help learners successfully navigate introductory modules that use game-based learning techniques. This resource offers accurate and verified answers to key questions, enabling students to better understand core concepts while reinforcing their knowledge through interactive scenarios. By combining educational content with gamification, it enhances motivation, improves retention, and prepares learners to achieve full marks in their module exams with confidence.

1. Which two statements make pandas and matplotlib available to python?

   • import matplotlib.plt as pyplot
   • import matplotlib.pyplot as plt
   • import pandas as pd
   • import pd as pandas

2. Which code adds an ‘area’ column to the dataframe?

   

   • df['width * height'] = df.eval('area')
   • df['area'] = df.query('width * height')
   • df['area'] = df.eval('width * height')
   • area = df.eval('width * height')

3. Which code finds all screens with area larger than 500cm²?

   

    

   • df.select('area > 500')
   • df.query('area > 500')
   • df.find('area > 500')
   • df.eval('area > 500')

4. Which plotting method was most likely used?

   

   • plt.bar(df['width'], df['height'])
   • plt.plot(df['width'], df['height'])
   • plt.barh(df['device_type'], df['area'])
   • plt.scatter(df['width'], df['height'])

5. Which code finds the total minutes the robot spent on each activity?

   

   • robot.groupby('minutes')['activity'].sum()
   • robot.groupby['minutes'].sum()
   • robot.groupby('activity')['minutes'].max()
   • robot.groupby('activity')['minutes'].sum()

6. After doing a groupby(), why is it common to do a reset_index()?

   • To make the group keys an index
   • To turn the result into a Series.
   • To sort the result by the index.
   • To convert the index to a column, producing a DataFrame.

7. Which code makes a horizontal bar chart out of time_spent?

   

   • plt.barh(time_spent['activity'], time_spent['minutes'])
   • bar.horiz(time_spent['activity'], time_spent['minutes'])
   • plt.barh('activity', 'minutes')
   • plt.plot(time_spent['activity'], time_spent['minutes'])

8. Which two statements add the additional text to the bar chart as shown?

   

   • plt.ylabel('minutes')
   • plt.label('Total time spent')
   • plt.xlabel('minutes')
   • plt.title('Total time spent')