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Zorluk: KolayAWS Cost Explorer and Cost Anomaly Detection

A SysOps administrator wants to monitor AWS accounts for unexpected cost spikes using machine learning. The administrator also wants to receive alerts in a Slack channel when an anomaly is detected. Which actions should the administrator take to configure this solution? (Select two.)

  1. Create a cost monitor in AWS Cost Anomaly Detection.Cevap
  2. Create an alert subscription in AWS Cost Anomaly Detection using AWS Chatbot to send notifications to the Slack channel.Cevap
  3. C
    Create a cost budget in AWS Budgets with a static spending limit.
  4. D
    Enable detailed monitoring in Amazon CloudWatch and configure a billing alarm.
  5. E
    Create an Amazon EventBridge rule that triggers an AWS Systems Manager Automation document when billing metrics exceed a threshold.

Cevap

To monitor for machine learning-based cost anomalies and receive alerts in Slack, create a cost monitor in AWS Cost Anomaly Detection and configure an alert subscription that uses AWS Chatbot to send notifications to the Slack channel.
To establish cost anomaly monitoring and alerting, the SysOps administrator must create a cost monitor to analyze spending using machine learning models, and configure an alert subscription pointing to the Slack channel via AWS Chatbot.

Adım Adım Çözüm

1
Create a cost monitor in AWS Cost Anomaly Detection.
Configures the machine learning system to evaluate costs based on AWS services, cost allocation tags, cost categories, or linked accounts.
This establishes the scope of spend that needs to be analyzed for anomalies.
2
Configure a subscription for alerting.
Defines the integration with AWS Chatbot and specifies the Slack channel as the destination.
This links the detected cost anomalies to the administrator's Slack channel for real-time alerting.

Anahtar Kavram

AWS Cost Anomaly Detection uses machine learning to identify anomalous spend and supports alerting via SNS or AWS Chatbot to messaging platforms like Slack.
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AWS Cost Explorer and Cost Anomaly Detection

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