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HP HPE0-J82 Exam Syllabus Topics:

HPE Storage Architect Sample Questions:

1. An Infrastructure Planner is reviewing a predictive capacity alert.
[InfoSight Capacity Forecast]
Physical Used: 420 TB
Physical Free: 28 TB
Forecasted Exhaustion: 24 Days
Application Growth: 0.6 TB/month
Snapshot Growth: 18 TB/month
Recent Changes:
Immutable retention enabled
Snapshot retention extended from 14 days to 180 days
Which THREE conclusions are supported by the telemetry? (Choose 3.)

A) Fibre Channel congestion is preventing snapshot expiration
B) Retention requirements should be reviewed before purchasing additional storage
C) Retained changed blocks are likely driving physical consumption increases
D) Deduplication engines automatically disable themselves when immutable retention is enabled
E) Snapshot retention policy changes are contributing more significantly to capacity growth than application growth

2. A Storage Solutions Architect is reviewing a capacity sizing worksheet during a legacy-to-modern storage migration assessment. The customer is moving from a legacy array with zero data reduction to an HPE Alletra B10000.
Workload A (Database): 20 TB Written, 0% Dedup, 0% Compression
Workload B (VDI): 15 TB Written, 0% Dedup, 0% Compression
Workload C (File): 50 TB Written, 0% Dedup, 0% Compression
Estimated Target Ratios: Database (1.5:1), VDI (4:1), File (2:1)
Based on the provided assessment data, which workload represents the most significant opportunity for capacity footprint reduction on the new platform?

A) Workload C, because it has the largest initial written footprint prior to any data reduction application
B) Workload B, because the high deduplication ratio of identical OS images yields the highest percentage reduction
C) Workload A, because databases typically yield the highest inherent compression savings on modern platforms
D) Workload C, because unstructured file data inherently compresses at ratios exceeding both database and VDI workloads

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

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

5. A customer is evaluating HPE GreenLake for File Storage for an AI training platform.
Application Requirements:
Linux compute cluster
15 PB of unstructured training data
POSIX compliance
Multi-GB/s throughput per node
Minimal application modifications
Which THREE architectural statements are accurate? (Choose 3.)

A) Existing applications can continue utilizing standard file APIs without requiring object-storage rewrites
B) RDMA-capable networking can improve throughput efficiency and reduce CPU overhead
C) Fibre Channel is mandatory for AI environments larger than 10 PB
D) NFS over RDMA can preserve POSIX semantics while reducing traditional TCP/IP overhead
E) SMB provides superior performance for Linux-based AI training workloads

Solutions: