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| Section | Weight | Objectives |
|---|
| Data Protection & Resiliency | 20% | - Data security and compliance - Backup, replication, and disaster recovery strategies - High availability and multi-site availability design
|
| Storage Architecture Design | 30% | - Design storage solutions aligned with workload characteristics - Evaluate customer requirements and business objectives - Scalability and growth planning
|
| HPE Storage Products & Solutions | 20% | - Integration with HPE compute and cloud platforms - HPE 3PAR, Nimble, Primera, and Alletra portfolio - Software-defined storage and hyperconverged infrastructure
|
| Optimization, Monitoring & Management | 10% | - Management tools: HPE InfoSight, OneView - Lifecycle management and upgrades - Performance tuning and capacity planning
|
| 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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HPE Storage Architect Sample Questions (Q68-Q73):
NEW QUESTION # 68
A Backup and Recovery Engineer is attempting to right-size the storage capacity for an aging hybrid array. The primary application owner claims their database only grows by 100 GB per week, yet the storage array telemetry indicates the volume's physical footprint is expanding by
1.5 TB per week.
[Telemetry Logs - Volume: Fin_DB_01]
Mon 02:00 - Array Snap Created (Retention: 30 Days)
Tue 02:00 - Array Snap Created (Retention: 30 Days)
...
[Analytics Profile]
Host Data Change Rate: 2% Daily (Highly random overwrites)
Inline Deduplication: Disabled (Encrypted Payload)
Space Reclamation (UNMAP): Enabled & Active
Which TWO diagnostic conclusions accurately explain the massive discrepancy between the application owner's perceived growth and the actual physical capacity consumption? (Choose 2.)
- A. The storage controllers are suffering from severe CPU contention, which artificially inflates the physical capacity metrics reported to the telemetry engine
- B. The host application is transmitting an encrypted payload, which mathematically neutralizes the storage array's ability to deduplicate the snapshot differentials
- C. The application owner's calculation of 100 GB/week represents pure logical net-new data insertion, ignoring the storage-level retention overhead of their own highly volatile overwrites
- D. The Space Reclamation (UNMAP) protocol is malfunctioning, trapping deleted database tables as
"active" physical blocks on the backend storage - E. The application's 2% daily random overwrite rate forces the array's 30-day snapshot retention policy to permanently lock massive amounts of modified physical blocks
Answer: C,E
NEW QUESTION # 69
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?
- A. The architecture automatically virtualizes the connected host RAM to satisfy Requirement 1, relying solely on standard JBOD enclosures to satisfy Requirement 2
- B. It requires the planner to mathematically balance the CPU-to-Disk ratio, mandating that for every
200 TB of capacity added, a new pair of symmetrically matched controller nodes must be purchased - C. It allows non-disruptive, independent scaling of compute (upgrading the controller heads), read cache (installing more SSDs), or total capacity (adding HDD expansion shelves) precisely matching the specific bottleneck without forcing unnecessary hardware purchases
- D. The array relies on a dedicated Storage Area Network (SAN) routing protocol to migrate active workloads to older, retired storage arrays, avoiding physical expansion entirely
Answer: C
NEW QUESTION # 70
A Storage Administrator is evaluating a proposed lifecycle management policy for an object storage platform.
Configuration:
Versioning Enabled
Transition Non-Current Versions After 30 Days
Archive Non-Current Versions After 90 Days
Delete Non-Current Versions After 7 Years
Compliance Requirements:
Historical recovery capability
Long-term retention
Reduced storage cost
Which THREE outcomes should be expected? (Choose 3.)
- A. Versioning prevents lifecycle policies from executing
- B. Archived versions are permanently inaccessible
- C. Capacity growth can be controlled through automated expiration policies
- D. Historical object versions remain recoverable until expiration policies are reached
- E. Lifecycle transitions can reduce storage costs for older object revisions
Answer: C,D,E
NEW QUESTION # 71
A Storage Administrator is assessing an aging legacy environment for migration to an HPE Alletra platform. The administrator reviews the following performance telemetry snippet from a critical Oracle volume:
Time: 10:00:00 | Vol: Ora_Data_01 | IOPS: 45,000 | Latency_Read: 1.2ms | Latency_Write:
8.5ms | Queue_Depth: 128
Time: 10:05:00 | Vol: Ora_Data_01 | IOPS: 48,000 | Latency_Read: 1.5ms | Latency_Write:
12.1ms | Queue_Depth: 144
Time: 10:10:00 | Vol: Ora_Data_01 | IOPS: 46,000 | Latency_Read: 1.3ms | Latency_Write:
10.5ms | Queue_Depth: 132
Which TWO conclusions can be drawn from this telemetry data regarding the legacy array's current state? (Choose 2.)
- A. The legacy array is experiencing a critical read performance bottleneck due to insufficient cache
- B. The host queue depth limits are set too low, artificially throttling the database application's I/O
- C. The read latency indicates a complete failure of the legacy array's predictive tiering algorithms
- D. The legacy storage backend is struggling to destage write operations during high transactional loads
- E. The current workload profile exhibits significant write latency that the target Alletra must address
Answer: D,E
NEW QUESTION # 72
A Data Protection Specialist is configuring multi-tenant QoS policies using the HPE Alletra CLI.
The goal is to strictly throttle a "noisy neighbor" DevTest environment to protect the mission- critical Prod environment.
[Proposed QoS CLI Configuration]
Target Workload: DevTest_Tenant (Consists of 50 individual volumes)
Protected Workload: Prod_Tenant (Consists of 20 individual volumes)
Constraint: Ensure DevTest never consumes more than 15,000 IOPS combined.
Which THREE architectural principles must the specialist apply when implementing these QoS policies to ensure success without causing systemic oversubscription? (Select all that apply.)
- A. Setting a Minimum IOPS guarantee on the Prod_Tenant Volume Set ensures that during severe global controller saturation, the array will preferentially delay the DevTest I/O to mathematically protect the guaranteed performance floor of the Prod workload
- B. The QoS maximum limits (Max IOPS) should be applied to the Volume Set (VVset) containing all
50 DevTest volumes, rather than applying individual 300 IOPS limits to each volume, to allow dynamic resource sharing among the DevTest servers while enforcing the aggregate 15,000 IOPS ceiling - C. When configuring Minimum IOPS guarantees for critical workloads, the specialist must ensure the sum of all configured minimums never exceeds the realistically sustainable physical performance capability of the underlying storage media to prevent an unresolvable SLA breach
- D. The specialist must immediately disable the array's inline deduplication engine, as inline cryptographic hashing algorithms calculate I/O at unpredictable intervals that inherently violate strict QoS IOPS caps
- E. The storage arrays require the host servers to utilize specialized NVMe-oF Host Bus Adapters to interpret the QoS throttling flags; standard Fibre Channel HBAs will ignore the limits
Answer: A,B,C
NEW QUESTION # 73
......
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