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| Section | Weight | Objectives |
|---|---|---|
| Storage Networking & Connectivity | 20% | - Network performance and reliability optimization - Topology design, zoning, and fabric management - SAN, NAS, and converged networking technologies |
| HPE Storage Products & Solutions | 20% | - Integration with HPE compute and cloud platforms - Software-defined storage and hyperconverged infrastructure - HPE 3PAR, Nimble, Primera, and Alletra portfolio |
| Optimization, Monitoring & Management | 10% | - Management tools: HPE InfoSight, OneView - Performance tuning and capacity planning - Lifecycle management and upgrades |
| Storage Architecture Design | 30% | - Scalability and growth planning - Evaluate customer requirements and business objectives - Design storage solutions aligned with workload characteristics |
| 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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110. Frage
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?
Antwort: D
111. Frage
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?
Antwort: A
112. Frage
Which HPE SaaS tool is used to provide data-driven insights to improve IT performance, return on investment (ROI), and data protection through analysis of IT metadata of customer storage solutions?
Antwort: B
Begründung:
HPE CloudPhysics is a SaaS assessment and analytics solution that uses infrastructure metadata to reveal performance, utilization, modernization and cost opportunities. A lightweight Observer virtual appliance can collect relevant configuration and performance data from supported virtualization environments for cloud- based evaluation. The resulting analytics help identify underused CPU and memory resources, storage bottlenecks, workload consolidation opportunities, potential availability issues and migration considerations.
Scenario modeling can compare prospective environments and support investment discussions with quantitative evidence. CloudPhysics is not a generic device configurator: it aims to turn operational data into actionable planning insights and business-value estimates. SAF Collector and Analyzer focuses on particular assessment workflows, DD Analyzer is specialized, and Ninja Online Intelligent Configurator is a configuration utility. The correct choice follows from the question ' s combination of SaaS delivery, infrastructure metadata analysis, ROI and data-protection insights. Sensitive customer environments should review data collection scope, account access and transfer policies before enabling the observer.
Study Guide Reference: HPE CloudPhysics SaaS analytics, Observer, infrastructure ROI and migration assessment.
Official reference(s): Advanced HPE Storage Solutions course
113. Frage
Which HPE tool would be used to size an HPE Alletra 5000 solution for a customer?
Antwort: B
Begründung:
The HPE Ninja Online Block Storage Sizer is the product-aligned planning tool for an HPE Alletra 5000 block storage solution. Alletra 5000 uses adaptive flash technology, combining HDD storage capacity with SSD-based acceleration, so a correct recommendation must consider both usable capacity and sustained workload performance. The sizer supports collection of workload characteristics such as logical dataset size, I
/O rates, throughput, latency requirements, future growth and expected data reduction. The architect should compare proposed drive, cache and controller resources with expected mixed-workload patterns rather than assuming the largest capacity configuration has the best response time. NinjaSTARS serves specialized storage sizing workflows; the Intelligent Configurator focuses on configuration tasks; and CloudPhysics supplies infrastructure metadata and assessment insight. None replaces the identified block-storage sizing workflow for this question. Current application data should be collected wherever possible; otherwise document assumptions explicitly. Final output needs validation against HPE QuickSpecs, supported expansion rules, and any customer availability or replication obligations.
Study Guide Reference: HPE Ninja Online Block Storage Sizer and Alletra 5000 capacity/performance sizing.
Official reference(s): HPE Storage Solutions course
114. Frage
Which FC SAN feature restricts communications with devices in the same zone?
Antwort: D
Begründung:
Peer zoning limits communication within a Fibre Channel zone through a principal-and-peer relationship.
Unlike an ordinary zone in which compatible members can generally communicate with each other, a peer zone permits the principal device to communicate with designated peer members but does not grant peer-to- peer communication merely because those peers share the zone. A common example is a storage target acting as principal with multiple host initiators assigned as peers. The hosts can reach the storage target without being given access to one another through the same zone definition. This preserves controlled initiator-to- target connectivity while potentially reducing the number of individually managed zones. Private VLANs are Ethernet segmentation features; fabric segmentation separates broader fabric domains, and ' private zoning ' is not the named FC peer-zone mechanism required by the question. Proper design also requires consistent WWPN identification, separate fabrics for redundancy, and verification that switch software supports the chosen zoning capability.
Study Guide Reference: Fabric zoning: principal/peer relationships, target/initiator segmentation.
Official reference(s): SAN Design Reference Guide
115. Frage
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