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HPE Storage Architect Sample Questions:

1. A customer is planning a large-scale AI analytics platform using HPE GreenLake for File Storage.
Requirements:
18 PB data lake
Linux-based compute cluster
POSIX file access
Multi-GB/s throughput per node
Minimal application modifications
Which THREE statements accurately support the proposed architecture? (Choose 3.)

A) Fibre Channel is mandatory for AI environments exceeding 10 PB
B) Existing applications can continue utilizing traditional file system interfaces without requiring S3 API rewrites
C) RDMA-capable networking can improve throughput efficiency while reducing host CPU utilization
D) NFS over RDMA allows applications to retain POSIX semantics while reducing TCP/IP stack overhead
E) SMB provides superior throughput for Linux HPC and AI workloads

2. A customer intends to consolidate:
Oracle RAC
SAP HANA
SQL Server
VMware
VDI
Development workloads
onto a single HPE Alletra Storage MP platform.
Business Requirement:
"Production workloads must be protected from performance interference caused by development activities." Which THREE design recommendations best satisfy the requirement? (Choose 3.)

A) Configure Minimum IOPS guarantees for production workloads
B) Disable compression globally to eliminate controller CPU utilization
C) Configure Maximum IOPS limits for development workloads
D) Disable snapshots on development environments
E) Utilize InfoSight workload analytics to monitor emerging contention patterns

3. A customer plans to deploy NVMe-oF connectivity for a new high-performance analytics environment.
Current Network Infrastructure:
25Gb Ethernet
Standard Layer-3 switching
No DCB
No PFC
No planned network upgrades
Which THREE conclusions are most appropriate? (Choose 3.)

A) NVMe/TCP reduces dependency on DCB-related infrastructure requirements
B) FC-NVMe can operate natively across Layer-3 Ethernet routing domains
C) NVMe/TCP can operate successfully within the existing network architecture
D) RoCEv2 environments commonly benefit from lossless networking technologies
E) Standard Ethernet switching is incompatible with NVMe/TCP

4. A Storage Architect is reviewing an HPE Alletra MP sizing assessment.
Assessment Findings:
Current Physical Consumption: 310 TB
Current Logical Consumption: 1.5 PB
Data Reduction Ratio: 4.8:1
Projected Annual Growth: 30%
Expected Performance Growth: 35%
Which THREE sizing principles should be applied? (Choose 3.)

A) Logical consumption alone should determine future hardware purchases
B) Existing data reduction ratios should be validated rather than assumed to remain constant
C) Future performance requirements should be evaluated independently from capacity growth
D) Capacity planning should primarily consider physical consumption and projected growth
E) Current reduction ratios are guaranteed after migration

5. A Storage Procurement Specialist is reviewing an HPE GreenLake consumption bill generated via the Data Ops Manager portal. The customer is furious because their monthly OPEX bill spiked by 300% over the weekend.
[Data Ops Manager - GreenLake Billing Telemetry]
Friday:
Reserved Capacity Consumed: 100%
Buffer Capacity Consumed: 0%
Monday:
Reserved Capacity Consumed: 100%
Buffer Capacity Consumed: 80%
Event Log (Saturday 02:00 AM): System-wide Antivirus Scan Initiated by SecOps team.
The SecOps team insists that an Antivirus scan only reads files and therefore cannot consume physical storage capacity.
How does the analyst explain the architectural mechanics of the storage array that caused this massive billing spike during a "read-only" scan?

A) The Data Ops Manager billing engine is misconfigured; it mathematically calculates OPEX costs based strictly on host network bandwidth (MB/s) rather than physical disk capacity consumed
B) The customer's backup software was configured to take array-based snapshots prior to the scan; because the Antivirus software inadvertently modifies the "Last Accessed" timestamp metadata on every single file, the storage array recorded those metadata changes as a massive differential write payload, blooming the physical snapshot size into the buffer tier
C) The array's Automated Sub-LUN Tiering engine panicked and migrated all 100TB of cold data from the mechanical HDDs directly into the NVMe Buffer tier to satisfy the sequential read request, triggering the billing event
D) The storage array controllers detected the intensive sequential read workload and automatically disabled the deduplication engine to free up CPU cycles, physically hydrating all the data and instantly consuming the buffer capacity

Solutions: