1Z0-1067-25 Question 57
Select 2Your e-commerce application runs on a set of OCI Compute instances deployed behind an OCI Load Balancer. During peak user traffic, you observe high CPU utilization on the application servers and frequent timeout errors for certain resource-intensive requests. Which two approaches would help you optimize performance under these conditions?
- A
Implement an autoscaling policy on your instance pool so that more compute instances are provisioned when CPU usage spikes.
- B
Configure path-based routing or a separate backend set for resource-heavy requests to distribute them more efficiently.
- C
Reduce the CPU allocation for your compute instances to decrease energy consumption and prioritize critical processes.
- D
Increase the load balancer� idle timeout to 1200 seconds to prevent frequent TCP connection re-establishments.
- E
Use OCI Traffic Management Steering (Failover policy) to reroute all peak traffic to a secondary region to handle load.
Show answer and explanation
Correct answers: A, B
Explanation
Effective performance optimization in OCI often involves leveraging autoscaling to dynamically match compute resources to workload demand and using advanced load balancing techniques to handle resource-intensive requests. By automatically scaling out compute instances during spikes and intelligently segmenting traffic through path-based routing or separate backend sets, you can significantly reduce processor bottlenecks and latency. Refer to the OCI documentation on 'Compute Autoscaling' and 'Load Balancer Advanced Routing' for detailed guidance on implementing these strategies.
- A. Correct.
Correct. Autoscaling is a key performance optimization strategy. By enabling autoscaling on your instance pool, additional compute instances are automatically added during periods of high CPU usage, helping alleviate resource bottlenecks and improve response times. Refer to OCI� Autoscaling best practices for details on setting appropriate CPU thresholds.
- B. Correct.
Correct. Configuring a separate backend set or path-based routing for resource-intensive requests prevents them from overburdening the primary backend. This strategy balances load more effectively, ensuring that high-impact requests do not create a bottleneck for the rest of the traffic. Refer to the OCI Load Balancer documentation for advanced routing techniques.
- C. Incorrect.
Incorrect. Reducing the CPU allocation typically worsens performance issues because fewer CPU resources are available for processing requests. This does not address the high CPU utilization problem and can lead to longer response times and more timeouts under increased load.
- D. Incorrect.
Incorrect. While increasing the idle timeout can prevent frequent reconnections for certain traffic patterns, it does not directly address high CPU utilization or the inefficiency in handling resource-intensive requests. It could even exacerbate server load by keeping connections open longer than necessary.
- E. Incorrect.
Incorrect. Traffic Management Steering (Failover policy) primarily assists with disaster recovery and failover scenarios, not performance optimization during routine peak traffic. It won�t resolve high CPU usage in the primary region�it simply shifts traffic to a different region in case of a critical outage.