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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Storage Architecture Design | 30% | - Scalability and growth planning - Design storage solutions aligned with workload characteristics - Evaluate customer requirements and business objectives |
| Topic 2: Storage Networking & Connectivity | 20% | - Network performance and reliability optimization - SAN, NAS, and converged networking technologies - Topology design, zoning, and fabric management |
| Topic 3: HPE Storage Products & Solutions | 20% | - HPE 3PAR, Nimble, Primera, and Alletra portfolio - Integration with HPE compute and cloud platforms - Software-defined storage and hyperconverged infrastructure |
| Topic 4: Data Protection & Resiliency | 20% | - Data security and compliance - High availability and multi-site availability design - Backup, replication, and disaster recovery strategies |
| Topic 5: Optimization, Monitoring & Management | 10% | - Management tools: HPE InfoSight, OneView - Lifecycle management and upgrades - Performance tuning and capacity planning |
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NEW QUESTION # 119
An HPE InfoSight report identifies an emerging performance anomaly.
[Cross-Stack Analytics]
Array Latency: 0.8 ms
Host Latency: 19 ms
Controller CPU: 44%
Drive Utilization: 37%
Additional Findings:
Supported Array Firmware
Unsupported Multipathing Software
Unsupported HBA Drivers
Which THREE conclusions should be drawn? (Choose 3.)
Answer: A,C,D
NEW QUESTION # 120
Which three components are used to calculate the journal size for a Zerto data protection solution?
Answer: B
Explanation:
Zerto journal size is based on the retained history duration, the average write throughput generated by all protected VM volumes, and the effective compression factor for the journaled changes. Continuous Data Protection records write changes and checkpoints so applications can be returned to an earlier point within the configured history window. In simplified form, journal space equals history in seconds multiplied by average data write rate and the applicable compression factor. For one hour of history at 10 MB/s and a 0.5 compression factor, the calculation is 3,600 x 10 x 0.5 = 18,000 MB, approximately 18 GB before operating margins. Network throughput is not interchangeable with the underlying VM-volume write rate, and deduplication ratio is not one of the three specified terms in this formula. Architects should separately consider change-rate peaks, growth, replication lag and additional free capacity. Correct journal planning must be based on actual application write characteristics because insufficient journal resources can shorten the recovery history available during an incident.
Study Guide Reference: HPE Zerto journal sizing: duration, VM write throughput and compression.
Official reference(s): HPE Storage Solutions course
Batch 6 | Questions 51-60
NEW QUESTION # 121
Which lossless storage protocol can be used in the same infrastructure with VM traffic?
Answer: B
Explanation:
NVMe over Fabrics with RoCE uses RDMA over Ethernet to connect hosts with remote NVMe storage while allowing ordinary virtual-machine network traffic to use the same switching infrastructure. RDMA reduces host CPU intervention and networking-stack overhead, supporting efficient, low-latency storage operations.
RoCE storage traffic normally needs a carefully managed Ethernet lossless traffic class, rather than an assumption that every Ethernet packet will never be dropped. Data Center Bridging configuration, including Priority-based Flow Control, Enhanced Transmission Selection, and congestion controls, is important to avoid disruptive loss and head-of-line blocking. VLANs and traffic priorities can separate storage behavior from application or VM data while retaining shared physical links. NVMe over InfiniBand uses a different fabric.
NVMe over Fibre Channel uses an FC SAN. NVMe/TCP is suitable for standard routed Ethernet but does not provide the RoCE RDMA transport requested. Designers must validate switch, adapter, and array support before converging the traffic classes.
Study Guide Reference: Converged storage networking: NVMe-oF, RoCE, RDMA, PFC and ETS.
Official reference(s): Advanced HPE Storage Solutions course
NEW QUESTION # 122
Which component of the HPE GreenLake Data Services Cloud Console would a customer use to define replication while applying protection for volume sets for HPE Alletra Storage MP B10000 arrays?
Answer: B
Explanation:
The Block Storage component of HPE GreenLake Data Services Cloud Console is used to apply protection to HPE Alletra Storage MP B10000 block-storage volume sets. A volume set groups related volumes so that management and protection settings can be coordinated rather than implemented independently on each volume. In the Block Storage workflow, the administrator selects the volume set and the relevant protection policy for supported snapshot and replication services. Data Ops Manager has a related but distinct responsibility: configuring and managing underlying storage systems and establishing appropriate replication prerequisites or partnerships. File Storage serves file-oriented resources, while Backup and Recovery manages backup-focused workflows. Choosing the wrong console area can confuse infrastructure setup with the policy application performed on actual volumes. Architects should first confirm supported replication mode, secondary-system readiness, network paths, recovery objectives, and consistency requirements. The Block Storage tile then provides the resource-level interface identified in the question for applying the selected protection arrangement.
Study Guide Reference: HPE GreenLake Block Storage, Data Ops Manager, volume-set protection and replication.
Official reference(s): B10000 architecture | HPE Storage Solutions course
NEW QUESTION # 123
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?
Answer: A
Explanation:
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
NEW QUESTION # 124
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