SAP-C02 Question 305
Select 3An organization runs a large-scale e-commerce platform on AWS. They notice periodic performance degradation during peak traffic hours. As an AWS Certified Solutions Architect, you are tasked with implementing a solution to monitor application performance, identify bottlenecks, and provide insights to optimize the infrastructure. Which combination of AWS services should you use to achieve this?
- A
Amazon CloudWatch to monitor metrics and logs
- B
AWS X-Ray to trace requests and identify latency bottlenecks
- C
Amazon Macie to classify sensitive data and monitor access patterns
- D
AWS CloudTrail to track API calls and detect unusual activity
- E
Amazon RDS Performance Insights to analyze database performance
Show answer and explanation
Correct answers: A, B, E
Explanation
To monitor and optimize application performance, you need a combination of tools that provide metrics, tracing, and database performance analysis. Amazon CloudWatch monitors application metrics and logs, AWS X-Ray traces requests to identify latency bottlenecks, and Amazon RDS Performance Insights analyzes database performance issues. Together, these services address the key areas of performance monitoring, while options like Amazon Macie and AWS CloudTrail focus on security and compliance rather than performance.
- A. Correct.
Amazon CloudWatch is essential for monitoring application metrics, logs, and alarms to identify performance trends and issues.
- B. Correct.
AWS X-Ray helps trace requests through your application, allowing you to pinpoint latency issues and bottlenecks in the architecture.
- C. Incorrect.
Amazon Macie is focused on data classification and monitoring access to sensitive data, which is not directly related to application performance monitoring.
- D. Incorrect.
AWS CloudTrail is useful for tracking API activity and security-related events but does not provide insights into application performance or bottlenecks.
- E. Correct.
Amazon RDS Performance Insights is designed to help analyze and improve database performance, making it a key tool for addressing performance issues in database-driven applications.