1Z0-1067-25 Question 56
Select 2You are responsible for managing a high-traffic customer portal running on two Oracle Cloud Infrastructure compute instances with attached block volumes. During peak usage, your application experiences increased latency and timeouts. You need to optimize performance and accommodate these traffic spikes while minimizing disruption and cost. Which two strategies should you prioritize implementing to address these performance bottlenecks?
- A
- Migrate the block volumes to a higher performance tier to increase IOPS and throughput.
- B
- Create a redundant block volume in Object Storage to reduce read latencies across regions.
- C
- Increase the size of the existing block volumes to take advantage of improved performance with larger volumes.
- D
- Switch immediately to a Bare Metal shape with ephemeral local storage for the production database workload.
Show answer and explanation
Correct answers: A, C
Explanation
Increasing block volume performance through upgrading the tier or increasing volume size are common first steps for optimizing OCI-based workloads experiencing I/O bottlenecks. They typically require minimal downtime and can have an immediate positive impact on application performance. Refer to the Oracle Cloud Infrastructure Block Volume Performance documentation for detailed guidance: https://docs.oracle.com/en-us/iaas/Content/Block/Concepts/blockvolumeperformance.htm.
- A. Correct.
Option 1: Correct. Upgrading to a higher performance block volume tier offers more IOPS and throughput, which can significantly reduce latency for peak application demands. This approach is recommended in OCI documentation when existing block volumes reach performance limits.
- B. Incorrect.
Option 2: Incorrect. Storing data in Object Storage is useful for durability and backup but does not directly boost performance for block operations. Object Storage is not designed to handle real-time high-IOPS workloads in the same way block volumes are.
- C. Correct.
Option 3: Correct. OCI block volume performance scales with size, so increasing the block volume capacity can improve throughput and IOPS. This is especially useful when you experience intermittent spikes in data reads/writes.
- D. Incorrect.
Option 4: Incorrect. Moving to a Bare Metal instance with ephemeral storage can be disruptive and might not be cost-effective for initial performance optimizations. Ephemeral local storage does not persist data if the instance is stopped or fails, making it less ideal for critical workloads that require stable capacity and data persistence.