Consider a scenario where an API is performing well under normal conditions but is slowing down significantly during peak hours. How would you use load testing, performance testing, and monitoring to diagnose and resolve the issue?
- Perform load testing to identify bottlenecks, but don't use performance testing or monitoring.
- Rely on performance testing alone to pinpoint the problem and initiate code optimization.
- Use load testing to identify bottlenecks and performance testing to pinpoint issues. Monitor the API to gather data during peak hours and analyze it for patterns and anomalies.
- Monitor the API to gather data during peak hours and analyze it for patterns and anomalies. Use load testing and performance testing as needed to validate findings.
Option 3 is the most comprehensive approach to diagnose and resolve the issue. It combines load testing to identify bottlenecks, performance testing to pinpoint issues, and monitoring to gather real-time data during peak hours. This approach allows for a thorough analysis and timely issue resolution. Option 1 lacks the use of performance testing and monitoring, and option 2 relies solely on performance testing, which may not provide the complete picture. Option 4, although useful, doesn't address bottleneck identification through load testing.
Loading...
Related Quiz
- How does OAuth 2.0 mitigate the risks associated with credential sharing?
- What is the purpose of WSDL in a SOAP API?
- How can test data dependencies be managed in an end-to-end API test?
- Consider a situation where a large organization is deciding between using RESTful APIs and SOAP APIs for their new web service. What factors should be considered in making this decision?
- What is REST in the context of Web APIs?