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| Section | Weight | Objectives |
|---|---|---|
| Storage Architecture Design | 30% | - Scalability and growth planning - Design storage solutions aligned with workload characteristics - Evaluate customer requirements and business objectives |
| Optimization, Monitoring & Management | 10% | - Lifecycle management and upgrades - Performance tuning and capacity planning - Management tools: HPE InfoSight, OneView |
| Data Protection & Resiliency | 20% | - Data security and compliance - Backup, replication, and disaster recovery strategies - High availability and multi-site availability design |
| Storage Networking & Connectivity | 20% | - Topology design, zoning, and fabric management - Network performance and reliability optimization - SAN, NAS, and converged networking technologies |
| HPE Storage Products & Solutions | 20% | - HPE 3PAR, Nimble, Primera, and Alletra portfolio - Software-defined storage and hyperconverged infrastructure - Integration with HPE compute and cloud platforms |
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NEW QUESTION # 119
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?
Answer: B
NEW QUESTION # 120
An IT Compliance Auditor is reviewing the automated tiering policies configured on a hybrid storage array hosting a mix of critical OLTP databases and static, compliance-mandated financial archives.
[Automated Tiering Policy Configuration Snippet]
Policy Name: "Global_Default_Tiering"
Applied To: ALL_VOLUMES
Tier 1 (SSD): 10 TB Capacity
Tier 2 (HDD): 100 TB Capacity
Data Relocation Schedule: Continuous (24x7x365)
Performance Preference: Balanced (Let array decide based on generic heat map) Which TWO configurations within this tiering policy snippet represent severe anti-patterns that require immediate remediation? (Choose 2.)
Answer: A,D
NEW QUESTION # 121
A customer wants an HPE Private Cloud Business Edition solution that is co-located.
When an HPE Partner is using the HPE Ninja Online Private Cloud Business Edition Sizer tool, which company is listed for colocation support?
Answer: A
Explanation:
Equinix is the colocation provider identified in the HPE Private Cloud Business Edition offering and associated Ninja Online sizing scenario. HPE Private Cloud Business Edition at Equinix combines supported HPE compute, storage, networking and private cloud management with a colocation operating model. Instead of requiring customers to install all infrastructure in their own premises, the offering uses dedicated Equinix facility resources, including rack space, power, cooling, physical security and connectivity. HPE QuickSpecs describe preconfigured Smart Templates and integrated commercial processes that simplify quoting, deployment and billing for this route to market. It is suited to customers seeking private cloud control without the operational burden of owning a data center facility. Iron Mountain and CoreSite operate colocation services in other contexts but are not the specific provider named for this HPE PCBE option. Architects should verify site availability, network access, sovereignty requirements, support responsibility and commercial contract coverage before proposing a colocated private cloud deployment.
Study Guide Reference: HPE Private Cloud Business Edition at Equinix, Smart Templates and colocation.
Official reference(s): PCBE QuickSpecs
NEW QUESTION # 122
A Storage Architect is evaluating an HPE GreenLake for File Storage deployment supporting a genomics research environment.
Requirements:
12 PB dataset
Linux compute nodes
POSIX semantics
Multi-GB/s throughput
Minimal application modification
Which THREE statements accurately support the recommended architecture? (Choose 3.)
Answer: A,D,E
NEW QUESTION # 123
Which HPE Alletra 9000 CLI command can a customer use on an existing data set to determine if it is a candidate for deduplication and/or compression?
Answer: D
Explanation:
The checkvv command in the HPE Alletra 9000 command-line environment supports analysis of virtual volumes for potential compression and deduplication efficiency. With the documented dry-run options, an administrator can estimate savings from enabling one or both data-reduction mechanisms on an existing dataset without immediately converting that volume. The process is useful where input data characteristics are uncertain: already-compressed, encrypted, or effectively random information often produces less savings than a redundant application dataset. Relevant dry-run variants are associated with deduplication, compression, and their combined evaluation; background task information can be examined to interpret results.
servicefilesystem belongs to service-level filesystem operations, compactcpg compacts Common Provisioning Group resources, and tunesys supports system tuning. The candidate decision should also account for CPU resource headroom, workload latency, and any product-specific eligibility requirements. A favorable estimated reduction does not automatically justify a change unless operational performance and protection constraints remain acceptable. Analysis tasks should be reviewed for completion and expected workload impact before configuration changes.
Study Guide Reference: HPE Alletra 9000 CLI, checkvv, deduplication and compression evaluation.
Official reference(s): HPE Storage Solutions course
NEW QUESTION # 124
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