Correct Answer: It uses machine learning to analyze metrics and identify patterns that fall outside of historical norms
Anomaly detection helps you find issues that might not be caught by static thresholds....
Correct Answer
It uses machine learning to analyze metrics and identify patterns that fall outside of historical norms
Why This Answer Is Correct
Anomaly detection helps you find issues that might not be caught by static thresholds.
This question evaluates your knowledge of Amazon CloudWatch — a core concept tested in AWS Certified Solutions Architect – Associate (SAA-C03). Understanding Amazon CloudWatch is essential for designing scalable, secure, and cost-effective cloud architectures. Mastery of this topic will help you answer scenario-based questions confidently on exam day.
You need to monitor CPU utilization of your Amazon EC2 instances and set up alarms for automated actions. Which service should you use?
Your application running on Amazon EC2 needs a central location for log aggregation and real-time analysis. Which Amazon CloudWatch capability should you use?
An architect needs to be alerted if the average CPU utilization of an Auto Scaling group exceeds 70% for more than 5 minutes. Which CloudWatch component should be used?
What is the difference between 'Standard' and 'High-Resolution' metrics in Amazon CloudWatch?
A company wants to collect system-level metrics (such as RAM usage and disk space) from their EC2 instances that are not available by default in CloudWatch. How can this be achieved?