PAS-C01 Technology Practice Question
An SAP environment on AWS uses Amazon FSx for NetApp ONTAP for shared storage. The system is experiencing high write latency. The storage administrator suspects the volume is not optimized for SAP workloads. Which configuration change would most likely reduce write latency?
⚠ Common exam trap
It's easy for candidates to confuse tiering policies with performance optimization, thinking that moving cold data to S3 (Option C) improves performance, when in fact it increases latency for any data that is accessed after being tiered, and does not reduce write latency for active SAP workloads.
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
✓
Enable tiering policy to allow all data to be served from the SSD tier.
Enabling the tiering policy to allow all data to be served from the SSD tier ensures that all volume data resides on the high-performance SSD storage pool of the FSx for ONTAP file system. This eliminates read/write latency caused by accessing data from the capacity pool (Amazon S3), which has higher latency. For SAP workloads that require consistent low-latency I/O, keeping all data on the SSD tier is critical to reduce write latency.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Enable data compression on the volume.
Why it's wrong here
Compression adds CPU overhead and may increase latency.
- ✓
Enable tiering policy to allow all data to be served from the SSD tier.
Why this is correct
Moving data to SSD tier reduces latency compared to HDD.
- ✗
Enable the capacity pool tiering to auto-tier cold data to Amazon S3.
Why it's wrong here
Tiering to S3 increases latency for cold data.
- ✗
Increase the size of the volume.
Why it's wrong here
Volume size does not directly affect write latency.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
Go deeper
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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