AWS Certified Solutions Architect Associate (SAA-C03) - Termination Policies

The video tutorial explains the concept of auto scaling, particularly during peak times like Christmas, to manage increased web traffic efficiently. It highlights the benefits of scaling out for performance and scaling in for cost savings. The tutorial delves into termination policies, detailing how to decide which instances to terminate when scaling in. It covers default and custom termination policies, emphasizing factors like oldest launch configuration and billing considerations.

What is the primary benefit of scaling out during high traffic periods like Christmas?

• To reduce server costs

• To handle increased traffic

• To decrease website load time

• To improve website design

What is the main purpose of a termination policy in auto scaling?

• To decide which instances to terminate

• To improve website aesthetics

• To increase server uptime

• To enhance server security

When selecting an instance to terminate, which factor is considered first?

• The instance with the oldest launch configuration

• The instance with the lowest cost

• The instance with the newest configuration

• The instance with the highest traffic

What is a key consideration when terminating instances close to the next billing hour?

• To enhance security

• To increase server speed

• To avoid additional billing costs

• To improve user experience

Which custom termination policy might be useful for testing new launches?

• Terminating based on security

• Terminating the newest instance

• Terminating the oldest instance

• Terminating based on traffic

Why might terminating the oldest instance be beneficial?

• Older instances have better performance

• Older instances are cheaper

• Older instances are less stable

• Older instances are more stable

What is the default termination policy when multiple instances have the oldest configuration?

• Terminate a random instance

• Terminate the instance with the newest configuration

• Terminate the instance with the highest traffic

• Terminate the instance closest to the next billing hour