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| Section | Weight | Objectives |
|---|---|---|
| HPE Storage Products & Solutions | 20% | - Software-defined storage and hyperconverged infrastructure - HPE 3PAR, Nimble, Primera, and Alletra portfolio - Integration with HPE compute and cloud platforms |
| Optimization, Monitoring & Management | 10% | - Performance tuning and capacity planning - Lifecycle management and upgrades - Management tools: HPE InfoSight, OneView |
| Storage Architecture Design | 30% | - Design storage solutions aligned with workload characteristics - Evaluate customer requirements and business objectives - Scalability and growth planning |
| Data Protection & Resiliency | 20% | - Backup, replication, and disaster recovery strategies - Data security and compliance - High availability and multi-site availability design |
| Storage Networking & Connectivity | 20% | - Network performance and reliability optimization - Topology design, zoning, and fabric management - SAN, NAS, and converged networking technologies |
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NEW QUESTION # 33
An Infrastructure Capacity Planner is forecasting the 3-year growth for an environment backed by an HPE Alletra 5000 hybrid array.
[Growth Forecast Requirements]
Requirement 1: Database random read I/O will increase by 40% next year (Compute/Cache bound).
Requirement 2: Archive file storage capacity will increase by 200 TB next year (Disk bound).
What is the fundamental architectural advantage of the Alletra 5000/6000 "Scale-to-Fit" design when addressing these highly asymmetrical growth requirements, compared to a traditional monolithic or hyperconverged scale-out architecture?
Answer: A
NEW QUESTION # 34
Which HPE sizing tool should be used to size a solution for an HPE Alletra 6000 storage system?
Answer: C
Explanation:
HPE Ninja Online Block Storage Sizer is the appropriate category for sizing an HPE Alletra 6000 enterprise block-storage array. Alletra 6000 is an all-flash platform built for sustained low latency and business-critical workloads. Capacity alone is insufficient for a reliable configuration: sizing also involves read/write mix, IOPS, I/O block size, throughput, snapshot and replication overhead, data reduction behavior and projected growth. The Block Storage Sizer consolidates these inputs into supported configuration recommendations and helps the architect distinguish effective capacity from the physical media resources required. Ninja Online is a broader portal or tool family; selecting the specialized Block Storage Sizer is more precise. The Unstructured Storage Sizer serves file and object workloads, while NinjaSTARS supports other storage and protection planning workflows. Any resulting bill of materials should be checked against current product limits and customer availability requirements. Performance validation remains essential when workloads are latency- sensitive or poorly characterized by average demand alone.
Study Guide Reference: HPE Alletra 6000 and Ninja Online Block Storage Sizer.
Official reference(s): HPE Storage Solutions course
NEW QUESTION # 35
A Cloud Storage Operations Analyst is reviewing a dashboard during a utilization baseline analysis for a mid-sized enterprise. The customer is concerned about rapid storage growth.
Dashboard Metrics (Last 30 Days):
Volume: PROD_DB_VOL_01
Allocated (Raw): 10 TB
Written (Host): 8.5 TB
Used (Physical): 3.2 TB
Data Reduction Ratio: 2.6:1
Thin Provisioning Savings: 1.5 TB
Daily Growth Rate: +50 GB/day
Based on the dashboard metrics, which conclusion accurately describes the current utilization state of this volume?
Answer: A
NEW QUESTION # 36
Which HPE tool would be used to size an HPE Alletra 5000 solution for a customer?
Answer: A
Explanation:
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
NEW QUESTION # 37
When using the Ninja Online Block Storage Sizer tool, which capacity numbers should be used to size a solution for the HPE Alletra Storage MP B10000 array?
Answer: C
Explanation:
Effective capacity is the correct basis for HPE Alletra Storage MP B10000 capacity modeling in Ninja Online Block Storage Sizer because it represents the amount of logical customer data accommodated after applying supported space-efficiency mechanisms. HPE ' s architecture includes thin provisioning, compression, deduplication and efficient copies. Raw capacity counts installed flash before protection and system overhead; usable capacity represents the physical capacity available after relevant reservations; installed capacity merely describes purchased media. These values do not by themselves describe the logical application data that may fit after data reduction. The B10000 QuickSpecs use an illustrative 4:1 compaction assumption with RAID 6 and operational headroom, while warning that real ratios depend on workload. Therefore sizing requires estimates of non-reducible data, application growth, snapshots and protection obligations. An effective- capacity figure should not be treated as an unconditional guarantee for all datasets. An architect should retain the workload assumptions and validate them with customer telemetry or representative data samples before finalizing a purchase.
Study Guide Reference: Ninja Online Block Storage Sizer, effective capacity, RAID and data efficiency.
Official reference(s): B10000 QuickSpecs
NEW QUESTION # 38
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