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Answer: Create a new launch template for the Auto Scaling group. Set the instances to Spot Instances. Set a policy to scale out based on CPU usage.
## Explanation **Correct Answer: C** **Why Option C is the most cost-effective solution:** 1. **Spot Instances are ideal for batch jobs**: The batch jobs run nightly (12:00 AM - 6:00 AM) and are fault-tolerant (if a job fails, another instance reprocesses it). Spot Instances offer up to 90% discount compared to On-Demand instances, making them perfect for: - Interruptible workloads - Fault-tolerant applications - Time-flexible batch processing 2. **Auto Scaling with Spot Instances**: By creating a new launch template with Spot Instances in the Auto Scaling group, the company can: - Automatically request Spot Instances at the lowest possible price - Handle Spot interruptions gracefully (since jobs can be reprocessed) - Scale based on actual workload needs 3. **Why other options are less cost-effective**: - **Option A (Savings Plan)**: While Savings Plans offer discounts (up to 72%), they require 1-3 year commitments and are better for steady-state workloads, not intermittent nightly batch jobs. - **Option B (Reserved Instances)**: Reserved Instances require paying for instances 24/7 for 1 year, even though they're only needed 6 hours per day (25% utilization). This is wasteful. - **Option D (Increase instance size)**: This increases costs by using larger, more expensive instances rather than optimizing the pricing model. **Key AWS Cost Optimization Principles**: - Use Spot Instances for fault-tolerant, flexible workloads - Right-size instances based on actual requirements - Choose the appropriate pricing model for the workload pattern - Leverage Auto Scaling to match capacity to demand **Additional Considerations**: - The solution should include Spot Instance interruption handling mechanisms - Consider using Spot Fleet or EC2 Fleet for better Spot Instance management - Monitor Spot Instance pricing trends for the specific instance types - Implement checkpointing for long-running batch jobs to resume from interruption points
Author: LeetQuiz Editorial Team
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A company has Amazon EC2 instances that run nightly batch jobs to process data. The EC2 instances run in an Auto Scaling group that uses On-Demand billing. If a job fails on one instance, another instance will reprocess the job. The batch jobs run between 12:00 AM and 06:00 AM local time every day.
Which solution will provide EC2 instances to meet these requirements MOST cost-effectively?
A
Purchase a 1-year Savings Plan for Amazon EC2 that covers the instance family of the Auto Scaling group that the batch job uses.
B
Purchase a 1-year Reserved Instance for the specific instance type and operating system of the instances in the Auto Scaling group that the batch job uses.
C
Create a new launch template for the Auto Scaling group. Set the instances to Spot Instances. Set a policy to scale out based on CPU usage.
D
Create a new launch template for the Auto Scaling group. Increase the instance size. Set a policy to scale out based on CPU usage.
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