PAS-C01 Design of SAP Workloads on AWS Practice Question
An organization runs SAP BusinessObjects on AWS and wants to improve the performance of report generation. The current environment uses EBS gp2 volumes. Which TWO changes could potentially reduce report generation time?
⚠ Common exam trap
Test-takers frequently confuse EBS optimization (a prerequisite for dedicated bandwidth) with a performance-tuning feature, or assume that increasing volume size (Option A) is a valid performance improvement method, when in fact switching to a higher-performance volume type like io2 Block Express is the correct storage-level optimization.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Switch to EBS io2 Block Express volumes with higher IOPS.
Switching to EBS io2 Block Express volumes provides higher IOPS and lower latency compared to gp2 volumes, which directly improves the I/O performance for SAP BusinessObjects report generation that often involves heavy database and file system reads. Option E is correct because adding more SAP BusinessObjects application servers distributes the report generation workload across multiple nodes, reducing the processing bottleneck on a single server and decreasing overall generation time.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase the size of the EBS root volume.
Why it's wrong here
Root volume size does not directly impact report generation performance.
- ✗
Enable EBS optimization on the instance.
Why it's wrong here
EBS optimization is typically enabled by default on modern instances.
- ✗
Configure automated snapshots of the EBS volumes.
Why it's wrong here
Snapshots do not improve performance.
- ✓
Switch to EBS io2 Block Express volumes with higher IOPS.
Why this is correct
Higher IOPS improves data access speed.
- ✓
Add more SAP BusinessObjects application servers to distribute the workload.
Why this is correct
More servers can handle concurrent reports.
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