HPE Storage Solutions HPE0-J82

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HP HPE0-J82 Exam Syllabus Topics:

HPE Storage Architect Sample Questions:

1. An HPE InfoSight Cross-Stack Analytics report identifies the following anomaly.
[Performance Telemetry]
Array Latency: 0.7 ms
Host Latency: 21 ms
Controller CPU: 43%
SSD Utilization: 36%
Additional Findings:
Unsupported NCM Version
Unsupported HBA Firmware
Supported Array OS
Which THREE recommendations should be completed before considering hardware expansion?
(Choose 3.)

A) Validate all host-side software through SPOCK
B) Upgrade unsupported multipathing software
C) Upgrade storage controllers because host latency indicates controller saturation
D) Add SSD capacity because host latency exceeds 20 ms
E) Upgrade unsupported HBA firmware

2. An Infrastructure Planner is reviewing an HPE Alletra MP sizing assessment.
Current Metrics:
Physical Used: 240 TB
Logical Used: 1.1 PB
Current Reduction Ratio: 4.6:1
Forecast Growth: 35% Annually
Which THREE sizing principles should be followed? (Choose 3.)

A) Logical consumption alone should determine hardware purchases
B) Performance growth should be considered independently from capacity growth
C) Existing reduction ratios should be validated rather than assumed to remain constant
D) Future sizing should be based primarily on physical consumption and projected growth
E) Data reduction guarantees can be assumed across all future workloads

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

4. An Infrastructure Capacity Planner is analyzing the capacity forecast dashboard for a heavily utilized HPE Alletra Storage MP array via Data Ops Manager.
[Data Ops Manager - Capacity Forecast Dashboard]
Volume Group: VMFS_DevTest_Clones
Logical Capacity Limit: 100 TB
Logical Consumed: 95 TB (95% Full)
Physical Capacity Consumed: 15 TB
Current Data Reduction Ratio: 6.3:1
Predicted Time to Physical Exhaustion: > 24 Months
Predicted Time to Logical Exhaustion: 5 Days
Which immediate, zero-cost operational action must the planner take based on this dashboard analysis to prevent an application outage?

A) Disable inline deduplication on the DevTest clones to relieve the metadata overhead and artificially extend the logical exhaustion date
B) Edit the volume group properties in Data Ops Manager to increase the Logical Capacity Limit from
100 TB to 150 TB
C) Generate an emergency purchase order for a new NVMe expansion shelf to mitigate the impending 5-day exhaustion window
D) Immediately execute an array-wide space reclamation (UNMAP) command to physically erase the
95 TB of logically consumed blocks

5. A multinational manufacturing company is evaluating two expansion strategies.
Option A:
Purchase additional NVMe shelves immediately.
Option B:
Enable inline deduplication and compression on selected workloads.
Current Environment:
Controller CPU: 76%
Physical Utilization: 89%
Workload Mix:
VDI
VMware
Oracle Databases
Encrypted Backups
Which THREE considerations should influence the final recommendation? (Choose 3.)

A) Encrypted backup datasets often provide minimal deduplication benefit compared to VDI environments
B) Different workload types will achieve significantly different data reduction outcomes
C) Future capacity planning should account for projected growth regardless of anticipated reduction savings
D) Data reduction universally improves write latency and should therefore always be preferred over hardware expansion
E) Additional data reduction processing may increase controller resource consumption and should be evaluated against current utilization

Solutions: