Complete the code to select the AWS service that helps reduce costs by automatically adjusting compute capacity.
service = "[1]"
Amazon EC2 Auto Scaling adjusts compute capacity automatically to optimize costs.
Complete the code to specify the AWS pricing model that offers the lowest cost for steady-state usage.
pricing_model = "[1]"
Reserved Instances provide a lower cost for steady, predictable usage by committing to a term.
Fix the error in the code to correctly identify the AWS tool used for cost monitoring and budgeting.
tool = "[1]"
AWS Cost Explorer helps visualize and monitor AWS costs and usage.
Fill both blanks to create a cost-effective storage class and lifecycle policy in AWS S3.
storage_class = "[1]" lifecycle_action = "[2]"
S3 Intelligent-Tiering automatically moves data to the most cost-effective access tier. Lifecycle policies can transition objects to Glacier for cheaper long-term storage.
Fill all three blanks to define a cost-optimized compute resource with spot pricing, auto scaling, and a budget alert.
compute_type = "[1]" auto_scaling = "[2]" budget_alert = "[3]"
Spot Instances reduce compute costs by using spare capacity. Auto Scaling adjusts capacity automatically. AWS Budgets helps monitor and alert on spending.