Learn how Amazon CloudWatch can enhance operational performance and resource optimization in your cloud environment through automated alarms and log data collection.
Table of Contents
Question
How can you use Amazon CloudWatch to enhance operational performance and resource optimization? (Choose TWO.)
A. Set alarms that trigger automated actions.
B. Identify actions taken by account users.
C. Identify which users and accounts call AWS.
D. Collect operational data in the form of logs.
E. Distribute application traffic across multiple targets.
Answer
A. Set alarms that trigger automated actions.
D. Collect operational data in the form of logs.
Explanation
The correct answers are “Set alarms that trigger automated actions” and “Collect operational data in the form of logs.” Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications that you run on AWS. You can use Amazon CloudWatch to collect and track metrics, collect and monitor log files, and set alarms.
The two correct answers for how Amazon CloudWatch can be used to enhance operational performance and resource optimization are:
A. Set alarms that trigger automated actions.
By setting up CloudWatch alarms, you can monitor key metrics for your resources and services and automatically trigger actions when thresholds are breached. For example, you could set an alarm to add more EC2 instances to an Auto Scaling group when CPU utilization exceeds 80% for a sustained period. This allows you to proactively optimize resource usage based on demand.
D. Collect operational data in the form of logs.
CloudWatch Logs enables you to monitor, store, and access log files from various sources such as EC2 instances, Lambda functions, and CloudTrail. By collecting and analyzing log data, you can gain valuable operational insights to identify performance issues, debug errors, detect security threats, and make data-driven optimization decisions. Centralizing logs in CloudWatch provides a unified view of your environment.
In summary, the key ways CloudWatch enhances performance and optimization are through proactive alarms that can trigger automated remediation actions, and by serving as a centralized log management solution to surface key operational data for analysis and insights.
The other options are incorrect:
B. Identify actions taken by account users. This describes AWS CloudTrail, not CloudWatch.
C. Identify which users and accounts call AWS. This also describes AWS CloudTrail, not CloudWatch.
E. Distribute application traffic across multiple targets. This describes what AWS services like Elastic Load Balancing and Global Accelerator do, not CloudWatch.
So in summary, A and D are the two correct answers for how CloudWatch can be used to optimize performance and resource usage in your cloud environment. Let me know if this explanation makes sense!
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