Practice Automatic Scaling - 3.4.2.1 | Chapter 3: Deep Dive into Compute Services | AWS Basic
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Academics
Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Professional Courses
Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skillsβ€”perfect for learners of all ages.

games

3.4.2.1 - Automatic Scaling

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take mock test.

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is Auto Scaling?

πŸ’‘ Hint: Think about adapting resources to user traffic.

Question 2

Easy

What does Elastic Load Balancing do?

πŸ’‘ Hint: Consider how traffic is managed across several instances.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What triggers Auto Scaling to add instances?

  • CloudWatch alarms
  • User manual input
  • Monthly schedule

πŸ’‘ Hint: Focus on the monitoring components of AWS.

Question 2

True or False: ELB only works with HTTP/HTTPS traffic.

  • True
  • False

πŸ’‘ Hint: Think about the types of load balancing.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

If a shopping website anticipates heavy traffic during a holiday sale, describe a plan for implementing Auto Scaling and how you would set up CloudWatch alarms.

πŸ’‘ Hint: Consider historical data to define your traffic expectations.

Question 2

Analyze a scenario where Auto Scaling might fail to work as intended and suggest mitigation strategies.

πŸ’‘ Hint: Reflect on potential limitations of reactive scaling.

Challenge and get performance evaluation