Practice Free HPE0-J82 Exam Online Questions
A Storage Procurement Specialist is reviewing an HPE InfoSight wellness report for a recently deployed entry-level all-NVMe storage array. The customer purchased top-tier PCIe Gen4 NVMe drives (rated at 7,000 MB/s read throughput), but the array is capping out at half that speed per drive.
[InfoSight Wellness Report – Hardware Bottleneck]
Component: Drive Enclosure 01, Slots 1-12
Drive Type: 3.84TB U.2 NVMe SSD (PCIe Gen4 x4)
Observed Peak Drive Throughput: ~3,400 MB/s per drive
Root Cause: Backplane Interface Negotiation Downgrade
Based on the telemetry provided, what is the specific architectural hardware limitation causing the drives to operate at half their rated throughput?
- A . The array’s internal drive backplane is only physically wired or negotiated for PCIe Gen3, restricting the Gen4 x4 drives to a maximum theoretical bandwidth of roughly 4 GB/s
- B . The U.2 NVMe drives are configured in a single-port mode, immediately halving their available throughput to the storage controllers
- C . The storage array’s internal SAS expander is artificially throttling the NVMe drives to match the 12Gbps speed limit of the adjacent legacy SAS drives
- D . The drives lack the mandatory Advanced Data Services E-LTU license required to unlock the full Gen4 PCIe bandwidth capabilities
A Storage Solutions Architect is reviewing a colleague’s capacity planning document for a new deployment of 5,000 persistent virtual desktops for software developers. The developers require administrative rights to install custom toolchains and compile large codebases locally.
Proposed Sizing Assumptions:
Target Array: HPE Alletra Storage MP
Desktop Type: Persistent (Dedicated)
Expected Deduplication Ratio: 6:1 (Based on OS commonality)
I/O Profile Assumption: 80% Read / 20% Write
Peak Workload: Morning Boot Storm (8:00 AM)
Which TWO assumptions represent dangerous anti-patterns for this specific persistent VDI workload? (Choose 2.)
- A . Implementing inline compression on the volumes, as source code and compiled binaries are mathematically incompressible
- B . Proposing an HPE Alletra Storage MP platform, which is fundamentally incompatible with the block storage requirements of VMware vSphere
- C . Assuming the morning boot storm will be the absolute peak workload, as persistent desktops are typically left running continuously by developers
- D . Assuming a 6:1 deduplication ratio, because persistent developer desktops diverge rapidly from the master image, severely reducing data commonality
- E . Assuming an 80% Read / 20% Write I/O profile, as developer environments generate massive amounts of write I/O during compilation tasks
A Data Protection Specialist is investigating intermittent application crashes occurring inside virtual machines hosted on an HPE MSA Gen7 array. The issues occur precisely at 11:00 PM every night.
The specialist reviews the following system event alert:
Timestamp: 23:00:05
Event ID: 489 – VSS Integration Error
Source: HPE Hardware Provider
Message: Snapshot creation timed out. Host I/O was paused for 45 seconds during quiescence.
Target: Volume_VDI_Persistent_01 (Size: 15TB, Active VMs: 450)
Which TWO conclusions accurately explain the root cause of the VM application crashes? (Choose 2.)
- A . The volume contains too many highly active persistent VMs (450), overwhelming the array’s ability to quickly commit the application-consistent snapshot
- B . The 45-second I/O pause exceeded the internal timeout thresholds of the guest operating systems, causing the applications to crash
- C . The VSS provider successfully created the snapshot, but the MSA Gen7 array lacked sufficient free space to store the differential data
- D . The MSA Gen7 controller rebooted unexpectedly at 11:00 PM, triggering a failover sequence that corrupted the VSS provider service
- E . The Fibre Channel host bus adapters (HBAs) experienced a physical link failure at exactly 11:00 PM, disconnecting the datastore
A Storage Procurement Specialist is reviewing a BOM manually constructed by a junior engineer for an HPE GreenLake for Block Storage deployment. The partner bypassed the automated completeness verification tool to rush the order.
[Manual BOM Submission]
Qty 1 – HPE Alletra Storage MP Base Node
Qty 2 – Compute/Controller Nodes
Qty 24 – 7.68TB NVMe SSDs
Qty 4 – 32Gb FC Host Adapters + 16x 32Gb SFPs
Qty 1 – Proactive Care 24×7 3-Year Support
Which TWO statements describe the failure modes resulting from this specific BOM anti-pattern for a GreenLake solution? (Choose 2.)
- A . HPE will be unable to gather the consumption telemetry required for accurate pay-per-use billing because the necessary metering software/components were omitted
- B . The Fibre Channel host bus adapters will fail to negotiate speeds with the physical switches due to missing licensing
- C . The customer will be unable to consume the storage via the GreenLake cloud portal due to the omission of edge-to-cloud connectivity gateway appliances or software requirements
- D . The physical drives will remain in a locked, read-only state until a CapEx license key is manually applied to the controllers
- E . The storage array will automatically default to a traditional CapEx billing model upon initial boot in the data center
A Data Protection Specialist is investigating a critical alert generated by HPE InfoSight. The array’s base application growth has been completely stable, yet the predictive analytics engine forecasts complete capacity exhaustion within 15 days.
[InfoSight Wellness Report – Predictive Capacity]
Array: Alletra_Prod_01
Total Usable: 200 TB
Current Free Space: 30 TB
Base App Data Growth: 1 TB / Month
Predicted Time to Exhaustion: 15 Days
Recent System Changes: "Ransomware_Protection_Policy" applied 5 days ago
Which TWO scenarios logically explain why the InfoSight growth projection engine is forecasting imminent capacity exhaustion despite low base application growth? (Choose 2.)
- A . The Fibre Channel host bus adapters are transmitting data using mismatched block sizes, causing InfoSight to miscalculate the volumetric growth rate
- B . The array’s inline compression ASIC has failed, forcing the 1 TB of monthly base application data to suddenly consume 15 TB of physical space per week
- C . The ransomware policy has extended the snapshot retention period indefinitely, preventing the storage system from reclaiming space from expired blocks
- D . The newly applied ransomware policy is generating highly frequent immutable snapshots that are accumulating massive daily differential data changes
- E . The array is performing a routine background parity scrub, which temporarily masks free space from the InfoSight predictive analytics telemetry agent
A Storage Solutions Architect is reviewing an InfoSight capacity report to design a technology refresh. The customer’s legacy array shows an overall Data Reduction Ratio (DRR) of 2:1. However, upon reviewing the granular volume-level metrics, the architect notices massive disparities.
[Volume Level Telemetry – Data Reduction]
Volume A (VDI OS Disks): 15:1 DRR
Volume B (Oracle Database): 2.5:1 DRR
Volume C (Encrypted CCTV Video Archives): 1:1 DRR
Which architectural principle dictates these wildly divergent data reduction ratios, validating the architect’s decision not to guarantee a flat 4:1 ratio for the entire new array?
- A . Legacy storage arrays permanently disable inline compression on any volume that exceeds 10TB in physical size to protect the NVRAM buffers
- B . Data reduction ratios are purely a mathematical artifact of the specific application payload; highly repetitive workloads (like VDI OS clones) deduplicate massively, while pre-encrypted or pre-compressed payloads (like CCTV video) are mathematically irreducible
- C . The array’s deduplication ASICs physically throttle data reduction on larger volumes (like CCTV archives) to prevent controller CPU saturation
- D . The VMware VASA provider artificially limits the data reduction ratios of non-virtualized Oracle databases to preserve PCIe bandwidth on the host server
A Backup and Recovery Engineer is calculating the required physical storage reserve for a new local snapshot policy on an HPE Alletra array.
[Capacity Sizing Worksheet]
Target Volume: SQL_Logs (10 TB Logical)
Snapshot Frequency: Every 4 hours
Retention: 14 Days
Which THREE specific variables must the engineer accurately quantify to mathematically model the projected physical capacity footprint of this snapshot retention schedule over the 14-day period? (Select all that apply.)
- A . The overall deduplication and compression ratios achieved by the specific data payload residing on the volume
- B . The average physical latency of the SAN fabric ISL links
- C . The physical spindle speed (RPM) of the target array’s standby caching tier
- D . The average daily data change rate (churn) generated by the host application writing to the base volume
- E . The total number of snapshots that will coexist simultaneously based on the scheduled frequency and expiration timers
A Storage Administrator is attempting to manually identify a performance bottleneck on an older storage array that lacks modern AIOps telemetry. The administrator decides to pull performance logs once an hour, average the IOPS and latency values for the entire 24-hour period, and use that single average number to justify a hardware upgrade.
Which TWO statements describe the severe anti-patterns in the administrator’s telemetry analysis methodology? (Choose 2.)
- A . The administrator relies on the storage array’s logs rather than using the Fibre Channel switch’s command line interface to calculate the storage array’s cache hit ratio
- B . The administrator failed to run the manual performance logs exclusively during the array’s background garbage collection cycle to capture true maximum system load
- C . Pulling performance logs only once an hour creates massive blind spots, as critical storage bottlenecks and queue saturation events often occur and resolve within a matter of seconds or minutes
- D . The administrator is averaging the latency and IOPS over a 24-hour period, which mathematically flattens and hides the severe micro-bursts and peak workloads that actually cause application bottlenecks
- E . The methodology completely ignores the impact of N-Port ID Virtualization (NPIV), which dynamically alters the IOPS generated by the host operating systems every hour
A SAN Network Engineer is troubleshooting a severe path thrashing issue on a Red Hat Enterprise Linux (RHEL) host recently connected to an HPE Primera array. The host logs show paths rapidly transitioning between active and failed states.
[Syslog Snippet – RHEL 8.4 Host]
09:15:02 multipathd: mpatha: active path 65:112 failing, state is marginal
09:15:04 multipathd: mpatha: path 65:112 is up, state is active
09:15:08 kernel: rport-2:0-1: blocked FC remote port time out: removing target
09:15:15 multipathd: mpatha: path checker failed
09:15:20 multipathd: mpatha: ALUA state transition rejected by target
The engineer consults the HPE SPOCK compatibility matrix and reviews the specific "Implementation Guide" linked for RHEL 8.4 and HPE Primera.
Which TWO diagnostic conclusions can be drawn from synthesizing the logs and the matrix documentation? (Choose 2.)
- A . The Fibre Channel switches have suffered a catastrophic zoning database corruption, causing the host to randomly lose sight of the target WWPNs
- B . The specific combination of RHEL 8.4 and the Primera OS requires a mandatory kernel patch to stabilize Fibre Channel hardware interrupts
- C . The host OS is likely missing the mandatory multipath.conf ALUA parameter configurations explicitly required by the SPOCK implementation guide
- D . The storage array’s internal SAS backplane is failing, causing the front-end host ports to indiscriminately drop SCSI commands
- E . The default DM-MPIO settings in the Linux distribution are conflicting with the array’s asymmetric logical unit access (ALUA) implementation
A Data Protection Specialist is configuring an HPE StoreOnce appliance to ingest backups from a massive fleet of 1,000 Microsoft Windows 10 laptops. The laptops will write their backups directly to the appliance over the corporate Wi-Fi and VPN networks.
To maximize backup success rates across unpredictable network connections without forcing the IT team to install proprietary backup software on every laptop, which protocol must the specialist configure on the StoreOnce appliance?
- A . The specialist must configure a Fibre Channel over Ethernet (FCoE) tunnel, as it provides the dedicated bandwidth guarantees required for massive fleet backups
- B . The specialist must configure an iSCSI Target, because block storage protocols inherently tolerate high packet loss and high latency on unpredictable Wi-Fi networks better than file protocols
- C . The specialist must configure an SMB 3.0 Share, as Windows 10 natively supports the Server Message Block protocol, allowing seamless, built-in file-level connections without third-party client installations
- D . The specialist must configure an NFSv3 export, because the stateless nature of NFSv3 prevents the laptops from dropping the connection when switching between Wi-Fi and VPN networks