An HPE Pre-Sales Consultant is discussing disaster recovery strategies with a customer. The customer plans to rely entirely on native storage array snapshots (taken every 5 minutes) to protect a highly transactional Microsoft SQL Server database running on a bare-metal Windows server connected via Fibre Channel.
If the customer executes these storage array snapshots natively via the array's GUI without any host-level integration, what is the exact consistency state of the resulting snapshot, and what operational risk does this pose during a recovery?

• A. The snapshot is "Application-Consistent"; the array's ASICs automatically inspect the SQL payloads in flight to ensure zero transactions are dropped, guaranteeing instant recovery
• B. The snapshot is "File-System-Consistent"; the array natively flushes the NTFS metadata tables before snapping the blocks, ensuring the OS boots perfectly but leaving the SQL application state unknown
• C. The snapshot is "Crash-Consistent"; the array captures the exact state of the disk blocks at that millisecond, completely ignoring data held in the Windows OS RAM or SQL buffers, risking database corruption and requiring a lengthy database log replay upon recovery
• D. The snapshot is "Log-Consistent"; the array forces the SQL server to truncate its transaction logs to the snapshot delta file, preventing any data loss but corrupting the active database

A Global Pharmaceutical Company is planning a consolidation project.
Workloads:
Oracle RAC
SAP HANA
SQL Server
VMware
VDI
Research Applications
Business Requirement:
"Research workloads must never affect production transaction processing." Assessment Findings:
Peak Production IOPS: 280,000
Research Peaks: Highly Variable
Which THREE design recommendations are most appropriate? (Choose 3.)

• A. Disable snapshots across research environments
• B. Implement QoS maximum limits for research workloads
• C. Disable compression globally to eliminate controller utilization
• D. Utilize InfoSight analytics to monitor contention patterns and performance drift
• E. Implement QoS minimum guarantees for production applications

A Backup and Recovery Engineer is reviewing a long-term capacity forecast generated by a custom script via the storage array's REST API. The script is designed to project when the secondary backup tier will run out of space.
{
"forecast_model":
"linear_regression",
"target_system":
"StoreOnce_Archive_Tier",
"current_consumption_tb": 120,
"historical_growth_avg_tb_per_month": 5,
"new_workload_scheduled":
"Encrypted_Video_Surveillance_30TB_Initial",
"projected_exhaustion_months": 15
}
Which TWO statements identify critical anti-patterns within this automated growth projection methodology? (Choose 2.)

• A. The API script fails to account for the mandatory 20% headroom buffer required on StoreOnce appliances to perform secure erase operations
• B. The projection model assumes that the Fibre Channel replication link has sufficient bandwidth to transport the new surveillance data within the backup window
• C. The forecast ignores the impact of overlapping snapshot retention expiration cycles, which typically cause backup tier growth to follow a stepped, non-linear trajectory
• D. The script utilizes a basic linear regression model, failing to account for the compound data reduction impact of adding a massive influx of incompressible encrypted video data
• E. The methodology incorrectly calculates the exhaustion period by assuming the 30TB initial workload will immediately deduplicate at the historical average ratios

An HPE Partner is building an HPE Simplivity solution for a customer and is using the SimpliVity Sizer on the HPE Ninja Online portal.
Which two HPE ProLiant platforms will the sizer recommend? (Choose two.)

• A. HPE ProLiant DL360
• B. HPE ProLiant DL325
• C. HPE ProLiant DL380
• D. HPE ProLiant DL345