1Z0-1067-25 Question 59
Select 2Your team manages a high-traffic analytics application running on Oracle Cloud Infrastructure. You�ve noticed that under peak loads, the system experiences frequent I/O wait times causing throughput to drop significantly. Which two strategies can help improve disk performance under these bursts?
- A
Increase the compute instance shape OCPUs without modifying storage configurations
- B
Switch to a higher-performance Block Volume tier or use local NVMe storage for intermediate data processing
- C
Select a lower-cost Block Volume tier to reduce overhead and transfer bottlenecks
- D
Implement an in-memory caching layer or use a memory-optimized instance shape for frequently accessed data
- E
Migrate to an earlier generation compute shape to simplify your environment
Show answer and explanation
Correct answers: B, D
Explanation
When dealing with I/O wait times, focusing on storage performance is key. A common strategy is to use block volumes with higher performance tiers or ephemeral local NVMe storage to reduce latency. Additionally, implementing an in-memory caching layer or leveraging memory-optimized shapes can further alleviate pressure on disk I/O. For more details, refer to Oracle Cloud Infrastructure documentation on 'Optimizing Block Volume Performance' and 'Advanced Compute Shapes.'
- A. Incorrect.
Option 1: Incorrect. While increasing OCPUs can help if CPU utilization is the bottleneck, it does not directly resolve storage I/O wait issues or enhance disk throughput. The underlying disk performance problem remains unaddressed.
- B. Correct.
Option 2: Correct. Using a higher-performance Block Volume tier or leveraging ephemeral local NVMe can significantly reduce latency and improve I/O throughput for large data reads and writes, addressing the root cause of storage bottlenecks.
- C. Incorrect.
Option 3: Incorrect. Lower-cost Block Volume tiers typically provide lower performance, which would likely worsen I/O wait times rather than improve them under peak loads.
- D. Correct.
Option 4: Correct. Implementing a caching layer minimizes the amount of data written to and read from slower storage tiers. Using a memory-optimized shape can further accelerate in-memory data operations, reducing reliance on disk I/O.
- E. Incorrect.
Option 5: Incorrect. Migrating to an older generation shape typically reduces the available performance features and does not address I/O wait. It could actually hinder overall performance.