HPE0-J82 - HPE Storage Architect Pass-Sure Sample Questions

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| Section | Weight | Objectives |
|---|
| HPE Storage Products & Solutions | 20% | - Software-defined storage and hyperconverged infrastructure - Integration with HPE compute and cloud platforms - HPE 3PAR, Nimble, Primera, and Alletra portfolio
|
| Storage Networking & Connectivity | 20% | - SAN, NAS, and converged networking technologies - Network performance and reliability optimization - Topology design, zoning, and fabric management
|
| Optimization, Monitoring & Management | 10% | - Lifecycle management and upgrades - Management tools: HPE InfoSight, OneView - Performance tuning and capacity planning
|
| Storage Architecture Design | 30% | - Scalability and growth planning - Design storage solutions aligned with workload characteristics - Evaluate customer requirements and business objectives
|
| Data Protection & Resiliency | 20% | - High availability and multi-site availability design - Backup, replication, and disaster recovery strategies - Data security and compliance
|
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HPE Storage Architect Sample Questions (Q31-Q36):
NEW QUESTION # 31
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. Capacity planning should primarily consider physical consumption and projected growth
- D. Future performance requirements should be evaluated independently from capacity growth
- E. Current reduction ratios are guaranteed after migration
Answer: B,C,D
NEW QUESTION # 32
A Storage Administrator is restructuring the QoS policies for a multi-tenant service provider environment hosted on an HPE Primera array. The architect wants to ensure strict performance SLAs are met for all premium tenants while preventing the array from becoming oversubscribed.
[Proposed QoS Policy Configuration]
Total Array Capacity Limit: 100,000 IOPS (Based on sizing)
Tenant A (Premium): Min IOPS = 40,000
Tenant B (Premium): Min IOPS = 40,000
Tenant C (Premium): Min IOPS = 30,000
Tenant D (Standard): Min IOPS = NONE, Max IOPS = 10,000
Which TWO architectural anti-patterns will result from implementing this specific QoS configuration? (Choose 2.)
- A. During periods of heavy utilization, the array controllers will be forced to arbitrary throttle one or more Premium tenants, causing them to breach their guaranteed 40,000 IOPS SLAs
- B. Tenant D's configuration violates multi-tenancy design because Standard tier workloads must strictly utilize fixed latency targets rather than IOPS caps
- C. The configuration will fail validation because QoS policies are restricted to managing bandwidth (MB/s) and cannot be applied directly to IOPS metrics on HPE Primera arrays
- D. The combined Minimum IOPS guarantees (110,000) mathematically exceed the physical capabilities of the array (100,000), creating an impossible SLA scenario during peak contention
- E. Setting the Max IOPS limit for Tenant D to exactly 10,000 will permanently disable the array's automated tiering engine for that specific volume set
Answer: A,D
NEW QUESTION # 33
A Storage Architect is evaluating a disaster recovery design for a multinational healthcare provider.
Requirements:
RPO = 0
RTO < 5 minutes
Active production workloads
Two datacenters separated by 28 km
Automated failover preferred
Current Infrastructure:
Dual Fibre Channel fabrics
VMware vSphere
HPE Alletra Storage MP
Which THREE architectural components should be included in the design? (Choose 3.)
- A. Synchronous replication to maintain identical data copies between sites
- B. Manual LUN import procedures executed after site failure
- C. Peer Persistence to provide transparent storage failover and active-active presentation
- D. Daily asynchronous replication to minimize bandwidth consumption
- E. SPOCK-validated multipathing software to ensure supported host failover behavior
Answer: A,C,E
NEW QUESTION # 34
A Global Manufacturing Enterprise is evaluating a complete storage refresh strategy. The organization currently operates four independent storage arrays supporting:
SAP HANA Production
Oracle RAC Databases
VMware Production Clusters
VDI Infrastructure
Assessment Findings:
Current Peak IOPS: 420,000
Current Physical Capacity: 520 TB
Current Logical Capacity: 2.4 PB
Annual Growth Rate: 28%
Business Objectives:
Reduce operational complexity
Consolidate management tools
Improve cyber resiliency
Move from CapEx to OpEx
Maintain Tier-0 application SLAs
The proposed solution is HPE GreenLake for Block Storage with HPE Alletra Storage MP.
Which THREE recommendations best align with the customer's business and technical objectives? (Choose 3.)
- A. Disable all data reduction technologies because consolidated environments inherently experience controller CPU bottlenecks
- B. Design workload-specific QoS policies to preserve application SLAs after consolidation
- C. Utilize the GreenLake consumption model to align spending with actual growth while reducing large capital expenditures
- D. Implement InfoSight analytics to proactively identify infrastructure risks before service-impacting events occur
- E. Deploy separate storage platforms for SAP, Oracle, VMware, and VDI workloads to minimize operational risk
Answer: B,C,D
NEW QUESTION # 35
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 newly applied ransomware policy is generating highly frequent immutable snapshots that are accumulating massive daily differential data changes
- B. The Fibre Channel host bus adapters are transmitting data using mismatched block sizes, causing InfoSight to miscalculate the volumetric growth rate
- C. The ransomware policy has extended the snapshot retention period indefinitely, preventing the storage system from reclaiming space from expired blocks
- D. The array is performing a routine background parity scrub, which temporarily masks free space from the InfoSight predictive analytics telemetry agent
- E. 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
Answer: A,C
NEW QUESTION # 36
......
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