Learn why AWS Auto Scaling is the best solution for managing sudden increases in demand on Amazon EC2 instances while optimizing costs. Perfect for AWS Certified Cloud Practitioner CLF-C02 exam preparation.
Table of Contents
Question
A company deploys its application on Amazon EC2 instances. The application occasionally experiences sudden increases in demand. The company wants to ensure that its application can respond to changes in demand with the least possible cost. Which AWS service or tool will meet these requirements?
A. AWS Auto Scaling
B. AWS Compute Optimizer
C. AWS Cost Explorer
D. AWS Well-Architected Framework
Answer
A. AWS Auto Scaling
Explanation
AWS Auto Scaling helps ensure the application can meet sudden increases in demand cost-effectively.
AWS Auto Scaling is the most suitable service to address the scenario described in the question. Here’s why:
- Automatic Response to Demand Changes: AWS Auto Scaling dynamically adjusts the number of Amazon EC2 instances based on real-time demand patterns. It can scale out (add instances) during traffic spikes and scale in (remove instances) during low traffic periods, ensuring optimal performance without over-provisioning resources.
- Cost Optimization: By scaling resources up or down as needed, AWS Auto Scaling minimizes costs by avoiding unnecessary resource usage. You only pay for what you use, making it a cost-effective solution.
- Improved Availability: The service ensures high availability by maintaining the right amount of capacity to handle current traffic demands. It replaces unhealthy instances automatically, further enhancing fault tolerance.
- Ease of Management: AWS Auto Scaling simplifies scaling configurations through a unified interface and built-in scaling strategies (e.g., optimizing for performance, cost, or a balance of both).
Why Other Options Are Incorrect
B. AWS Compute Optimizer: This tool provides recommendations to optimize EC2 instance types and configurations but does not handle real-time scaling or demand changes automatically.
C. AWS Cost Explorer: While useful for analyzing and forecasting costs, it does not manage or adjust resources in response to demand fluctuations.
D. AWS Well-Architected Framework: This framework provides best practices for designing cloud architectures but does not offer automated scaling capabilities.
Key Features of AWS Auto Scaling Relevant to the Exam
- Dynamic and predictive scaling policies
- Integration with other AWS services like Elastic Load Balancing and Amazon CloudWatch
- Automatic detection and replacement of unhealthy instances
- Support for multiple resource types beyond EC2 (e.g., DynamoDB, ECS tasks)
By leveraging these capabilities, AWS Auto Scaling ensures that applications remain responsive to sudden demand changes while keeping costs under control—making it the ideal choice for this use case.
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