20+ practice questions focused on Design of SAP Workloads on AWS — one of the most tested topics on the AWS Certified SAP on AWS Specialty PAS-C01 exam. Each question includes a detailed explanation so you learn why the right answer is correct.
Start Design of SAP Workloads on AWS PracticeA company is planning to migrate its SAP S/4HANA system to AWS. The system requires high availability with an RTO of less than 30 minutes and RPO of less than 15 minutes. The SAP application layer runs on Linux. Which architecture should a solutions architect recommend to meet these requirements?
Explanation: Option D is correct because it meets the RTO of <30 minutes and RPO of <15 minutes by deploying the SAP application on two EC2 instances across different Availability Zones with a shared EFS file system for stateless application files, and using a multi-AZ RDS for SAP HANA with synchronous replication. Synchronous replication ensures zero data loss (RPO=0) and automatic failover to the standby in a different AZ achieves RTO well under 30 minutes. The Linux SAP application layer is stateless, so EFS provides a shared, highly available file system that allows either instance to serve traffic seamlessly after a failover.
A company runs SAP Business Suite on an SAP HANA database on AWS. The database uses EBS gp2 volumes. The operations team notices high latency during peak hours. The metrics show that the volume queue depth is consistently above the recommended threshold. What is the MOST cost-effective change to reduce latency?
Explanation: Increasing the size of an existing gp2 volume is the most cost-effective solution because gp2 volumes have a baseline performance of 3 IOPS per GB, and they can burst up to 3,000 IOPS for volumes up to 1,000 GB. By increasing the volume size, you raise the baseline IOPS, which reduces the queue depth without incurring the higher per-GB cost of io1 or io2 volumes. This directly addresses the high latency caused by queue depth exceeding the recommended threshold during peak hours.
A company has an SAP HANA database running on an EC2 instance with 1.9 TB of memory. The database requires persistent storage. The solutions architect must choose a storage configuration that provides the highest IOPS and throughput while maintaining data durability. Which storage option should the architect choose?
Explanation: Option A is correct because it combines multiple io2 Block Express EBS volumes striped via LVM, which delivers the highest possible IOPS and throughput for SAP HANA on AWS. io2 Block Express volumes support up to 256,000 IOPS and 4,000 MB/s throughput per volume, and striping multiple volumes linearly scales these limits to meet the demands of a 1.9 TB memory HANA database. This configuration also ensures data durability through EBS replication within an Availability Zone, unlike instance store volumes.
A company runs its SAP ERP system on AWS. The database is SAP HANA on an EC2 instance. The system is critical and requires a recovery point objective (RPO) of less than 5 minutes and a recovery time objective (RTO) of less than 2 hours. Which solution meets these requirements with the LEAST operational overhead?
Explanation: AWS Backup with the SAP HANA Backup and Restore feature (Backint integration) provides continuous, incremental backups to Amazon S3, achieving an RPO of less than 5 minutes with automated, policy-driven backups. This solution minimizes operational overhead by eliminating manual scripting and infrastructure management, while supporting point-in-time recovery within the required RTO of under 2 hours.
A company is designing a new SAP environment on AWS. The SAP application servers communicate with the database over the network. The architect wants to minimize latency and maximize throughput. Which placement strategy should the architect use?
Explanation: A cluster placement group is the correct choice because it provides the lowest possible latency and highest throughput by ensuring that all SAP application and database servers are placed in close physical proximity within a single Availability Zone. This placement minimizes network hops and leverages non-blocking, high-bandwidth networking, which is critical for SAP's latency-sensitive communication between application and database layers.
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