How to Fix Slow EFS Performance During Peak Hours for SAP
An SAP on AWS environment uses a shared file system via Amazon EFS for SAP transport files. The EFS file system is mounted on multiple EC2 instances. Users report that file operations are slow during peak hours. Which action should be taken to improve performance?
Quick Answer
EFS performance in its default bursting throughput mode is tied to the size of the file system and a pool of burst credits that get consumed faster than they accumulate under sustained heavy demand, which matches the pattern described here - file operations slow down specifically during peak hours when usage is highest. Enabling Provisioned Throughput mode decouples throughput from file system size and burst credit balance entirely, letting you set a fixed, guaranteed throughput level that can absorb sustained peak-hour demand. That directly resolves the described symptom because the bottleneck isn't storage capacity or the number of servers accessing the share, it's the throughput ceiling the file system is allowed to sustain. The other approaches target the wrong layer: EBS with Multi-Attach caps out at a small number of attached instances and isn't designed as a general-purpose shared file system for something like SAP transport files; Amazon S3 isn't a POSIX file system at all, so bolting on something like S3FS introduces compatibility and latency problems rather than solving them; and simply adding more EC2 instances doesn't change EFS's throughput ceiling, since that ceiling is a property of the file system itself, not the number of clients connected to it. Whenever a shared EFS mount shows slow performance specifically tied to peak usage, look for a throughput-mode answer rather than a compute or client-count change.
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 EFS Provisioned Throughput mode and increase throughput
Enabling EFS Provisioned Throughput mode allows you to increase throughput beyond the baseline, which can alleviate performance issues during peak hours. Option B is incorrect because Amazon EBS with Multi-Attach is limited to a maximum of 16 instances and is not intended for large-scale shared file systems like SAP transport directories. Option C is incorrect because Amazon S3 does not provide a POSIX-compliant file system; S3FS introduces additional overhead and may not meet performance or compatibility requirements for SAP transport files. Option D is incorrect because increasing the number of EC2 instances does not improve EFS throughput; EFS performance is determined by the provisioned throughput and file system size.
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 EFS Provisioned Throughput mode and increase throughput
Why this is correct
Provisioned Throughput provides consistent high throughput for demanding workloads.
- ✗
Migrate to Amazon EBS with Multi-Attach enabled
Why it's wrong here
EBS Multi-Attach is limited to a few instances and is not ideal for many instances.
- ✗
Move the transport files to Amazon S3 and use S3FS
Why it's wrong here
S3 is object storage and S3FS may have latency and consistency issues.
- ✗
Increase the number of EC2 instances to distribute the load
Why it's wrong here
EFS performance is per file system, not per client.
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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Same concept, more angles
1 more way this is tested on PAS-C01
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. An SAP on AWS environment uses a shared file system with Amazon EFS. The operations team reports slow performance during peak hours. Which configuration change would most likely improve throughput?
medium- A.Enable encryption at rest
- ✓ B.Increase provisioned throughput
- C.Enable Bursting Throughput
- D.Change the performance mode to Max I/O
Why B: Increasing provisioned throughput on Amazon EFS is a direct configuration change that raises the throughput limit, which most reliably improves performance during peak hours. Bursting throughput is the default mode and cannot be 'enabled' as a change; it automatically allows bursting based on stored data, but during sustained peak usage, provisioned throughput is needed to guarantee higher throughput. Option A (encryption at rest) does not affect performance. Option C (Enable Bursting Throughput) is misleading because bursting is already enabled by default and cannot be turned on as a new configuration; it also does not provide sustained throughput improvement. Option D (Max I/O performance mode) optimizes for high I/O operations but does not directly increase throughput.
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This PAS-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PAS-C01 exam.