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feat(client-application-auto-scaling): Amazon SageMaker customers can now use Application Auto Scaling to automatically scale the number of Inference Component copies across an endpoint to meet the varying demand of their workloads.
* <p>Deleting a step scaling policy deletes the underlying alarm action, but does not delete
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* the CloudWatch alarm associated with the scaling policy, even if it no longer has an associated
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* action.</p>
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* <p>For more information, see <a href="https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-step-scaling-policies.html#delete-step-scaling-policy">Delete a step scaling policy</a> and <a href="https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-target-tracking.html#delete-target-tracking-policy">Delete a target tracking scaling policy</a> in the
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* <p>For more information, see <a href="https://docs.aws.amazon.com/autoscaling/application/userguide/create-step-scaling-policy-cli.html#delete-step-scaling-policy">Delete a step scaling policy</a> and <a href="https://docs.aws.amazon.com/autoscaling/application/userguide/create-target-tracking-policy-cli.html#delete-target-tracking-policy">Delete a target tracking scaling policy</a> in the
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* <i>Application Auto Scaling User Guide</i>.</p>
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* @example
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* Use a bare-bones client and the command you need to make an API call.
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