PAS-C01 Design of SAP Workloads on AWS Practice Question
An SAP HANA database on AWS is running on an EC2 instance with multiple EBS volumes striped using LVM. The database administrator needs to increase the total storage capacity without downtime. Which approach should be taken? (Select TWO.)
⚠ Common exam trap
Watch out — candidates often confuse increasing storage capacity with changing volume type or instance size, or assume snapshot-based migration is the only way to expand, overlooking LVM's online extension capability.
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
✓
Add the new volumes to the LVM volume group and extend the logical volume.
LVM (Logical Volume Manager) allows you to add new EBS volumes to an existing volume group and extend the logical volume without unmounting the filesystem or stopping the database. This enables online storage expansion for SAP HANA, which requires zero downtime for production workloads.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Create a new larger instance and attach the existing volumes.
Why it's wrong here
Attaching volumes to a different instance may cause downtime.
- ✗
Modify the existing volumes to a higher IOPS volume type.
Why it's wrong here
Changes volume type but not capacity.
- ✓
Add the new volumes to the LVM volume group and extend the logical volume.
Why this is correct
Online LVM extension adds capacity without downtime.
- ✓
Create new EBS volumes and attach them to the instance.
Why this is correct
New volumes can be added online to the LVM.
- ✗
Take a snapshot of the existing volumes and restore to larger volumes.
Why it's wrong here
Restore requires downtime.
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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