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Last Updated: Aug 19, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Optimization, Monitoring & Management | 10% | - Lifecycle management and upgrades - Performance tuning and capacity planning - Management tools: HPE InfoSight, OneView |
| Topic 2: Storage Architecture Design | 30% | - Design storage solutions aligned with workload characteristics - Evaluate customer requirements and business objectives - Scalability and growth planning |
| Topic 3: Storage Networking & Connectivity | 20% | - Topology design, zoning, and fabric management - SAN, NAS, and converged networking technologies - Network performance and reliability optimization |
| Topic 4: HPE Storage Products & Solutions | 20% | - HPE 3PAR, Nimble, Primera, and Alletra portfolio - Software-defined storage and hyperconverged infrastructure - Integration with HPE compute and cloud platforms |
| Topic 5: Data Protection & Resiliency | 20% | - Data security and compliance - Backup, replication, and disaster recovery strategies - High availability and multi-site availability design |
1. A customer intends to consolidate Oracle RAC, SAP HANA, SQL Server, VMware, VDI, and Development environments onto a single HPE Alletra Storage MP platform.
Business Requirement:
"No development activity should impact production application latency." Which THREE architectural controls should be implemented? (Choose 3.)
A) Configure Minimum IOPS guarantees for mission-critical production workloads
B) Configure Maximum IOPS limits for development and test workloads
C) Utilize InfoSight workload analytics to identify emerging contention patterns
D) Disable snapshots on development environments
E) Disable compression globally to eliminate controller CPU utilization
2. A Data Protection Specialist is reviewing the system event logs of an HPE Nimble storage array.
The array is hosting a critical Oracle database volume.
[System Event Log - 04:00:00 AM]
Warning: Snapshot creation skipped for Volume Collection 'Oracle_DB_VolCol'.
Reason: Maximum snapshot retention limit reached (10,000 snapshots).
The administrator investigating the issue reveals they configured an extremely aggressive policy:
Take a snapshot every 5 minutes and retain all of them locally for 1 year.
How does the storage array's architecture fundamentally handle this configuration flaw, and what is the required remediation?
A) The storage array automatically and silently deletes the base production volume to make room for new snapshots; the specialist must instantly restore the production LUN from tape
B) The array relies on the host hypervisor (VMware vCenter) to execute a scheduled task to delete old snapshots; the specialist must reboot the vCenter server to force the hypervisor to clear the snapshot cache
C) The array automatically converts the oldest snapshots into an S3 archive format, which takes 24 hours to process; the specialist must simply wait for the deduplication queue to clear before the schedule resumes
D) The array's operating system imposes a hard architectural limit on the maximum number of retained snapshots per volume (or globally) to protect the controller's metadata processing performance; the specialist must drastically reduce the retention schedule to stay within the array's supported maximums
3. A Storage Administrator is assessing an aging legacy environment for migration to an HPE Alletra platform. The administrator reviews the following performance telemetry snippet from a critical Oracle volume:
Time: 10:00:00 | Vol: Ora_Data_01 | IOPS: 45,000 | Latency_Read: 1.2ms | Latency_Write:
8.5ms | Queue_Depth: 128
Time: 10:05:00 | Vol: Ora_Data_01 | IOPS: 48,000 | Latency_Read: 1.5ms | Latency_Write:
12.1ms | Queue_Depth: 144
Time: 10:10:00 | Vol: Ora_Data_01 | IOPS: 46,000 | Latency_Read: 1.3ms | Latency_Write:
10.5ms | Queue_Depth: 132
Which TWO conclusions can be drawn from this telemetry data regarding the legacy array's current state? (Choose 2.)
A) The legacy array is experiencing a critical read performance bottleneck due to insufficient cache
B) The legacy storage backend is struggling to destage write operations during high transactional loads
C) The host queue depth limits are set too low, artificially throttling the database application's I/O
D) The read latency indicates a complete failure of the legacy array's predictive tiering algorithms
E) The current workload profile exhibits significant write latency that the target Alletra must address
4. A Storage Solutions Architect is reviewing the deployment requirements for a specialized AI analytics platform. The application runs on bare-metal Linux servers and requires access to 5 PB of unstructured training data stored on an HPE GreenLake for File Storage cluster.
[Application Requirements]
Requirement 1: Extremely high throughput (GB/s per host).
Requirement 2: Native integration with POSIX file system semantics (application cannot be rewritten for S3 APIs).
Requirement 3: Bypassing the limitations of the traditional Linux kernel TCP/IP stack.
Which storage protocol configuration natively provided by the HPE GreenLake for File Storage (VAST) architecture uniquely satisfies all three of these contradictory requirements?
A) The architect must deploy NFS over RDMA (NFSoRDMA); this allows the Linux host to mount a standard POSIX-compliant NFS share while utilizing the RNICs to bypass the Linux kernel's TCP stack, delivering massive, low-latency throughput
B) The architect must deploy Fibre Channel Protocol (FCP), utilizing NPIV to emulate a massive POSIX file system directly on the array's custom ASICs
C) The architect must deploy NFSv3 using standard TCP, and configure the Linux host's multipathing daemon (MPIO) to aggregate dozens of 10GbE links to simulate kernel bypass
D) The architect must deploy NVMe/TCP, which inherently translates all Block SCSI commands into standard NFS file handles dynamically at the host HBA layer
5. A Storage Architect is reviewing a proposed QoS design.
Array Sustainable Performance:
160,000 IOPS
Configured Minimum Guarantees:
Oracle RAC: 70,000
SAP HANA: 50,000
SQL Production: 45,000
VDI: 25,000
Which THREE conclusions are correct? (Choose 3.)
A) Thin provisioning compensates for oversubscribed performance guarantees
B) The configured guarantees exceed sustainable platform capability
C) SLA violations may occur during periods of contention
D) The storage platform automatically creates additional performance resources during saturation events
E) The QoS design should be revised before implementation
Solutions:
| Question # 1 Answer: A,B,C | Question # 2 Answer: D | Question # 3 Answer: B,E | Question # 4 Answer: A | Question # 5 Answer: B,C,E |
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