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| Section | Weight | Objectives |
|---|---|---|
| Storage Architecture Design | 30% | - Design storage solutions aligned with workload characteristics - Evaluate customer requirements and business objectives - Scalability and growth planning |
| Optimization, Monitoring & Management | 10% | - Performance tuning and capacity planning - Lifecycle management and upgrades - Management tools: HPE InfoSight, OneView |
| Data Protection & Resiliency | 20% | - Backup, replication, and disaster recovery strategies - Data security and compliance - High availability and multi-site availability design |
| 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 |
| Storage Networking & Connectivity | 20% | - SAN, NAS, and converged networking technologies - Topology design, zoning, and fabric management - Network performance and reliability optimization |
1. A Backup and Recovery Engineer is reviewing a long-term capacity forecast generated by a custom script via the storage array's REST API. The script is designed to project when the secondary backup tier will run out of space.
{
"forecast_model":
"linear_regression",
"target_system":
"StoreOnce_Archive_Tier",
"current_consumption_tb": 120,
"historical_growth_avg_tb_per_month": 5,
"new_workload_scheduled":
"Encrypted_Video_Surveillance_30TB_Initial",
"projected_exhaustion_months": 15
}
Which TWO statements identify critical anti-patterns within this automated growth projection methodology? (Choose 2.)
A) The forecast ignores the impact of overlapping snapshot retention expiration cycles, which typically cause backup tier growth to follow a stepped, non-linear trajectory
B) The script utilizes a basic linear regression model, failing to account for the compound data reduction impact of adding a massive influx of incompressible encrypted video data
C) The API script fails to account for the mandatory 20% headroom buffer required on StoreOnce appliances to perform secure erase operations
D) The methodology incorrectly calculates the exhaustion period by assuming the 30TB initial workload will immediately deduplicate at the historical average ratios
E) The projection model assumes that the Fibre Channel replication link has sufficient bandwidth to transport the new surveillance data within the backup window
2. A Storage Procurement Specialist is evaluating an OLTP workload expansion using the HPE Data Ops Manager dashboard. The array is nearing its physical capacity limits, but the database performance SLAs are extremely strict. The specialist must decide whether to purchase additional NVMe enclosures or enable aggressive inline data reduction on the active OLTP data volumes.
Dashboard Warning: Physical Capacity at 88%
Workload Profile: 85% Random Read / 15% Random Write
Current Data Reduction: OFF
Avg Latency: 0.6ms
Which THREE factors must be considered when evaluating the trade-offs of enabling data reduction to delay the hardware purchase? (Select all that apply.)
A) Purchasing additional NVMe enclosures guarantees uninterrupted performance scaling but significantly increases the upfront CapEx or OpEx footprint
B) Data reduction algorithms consume storage controller CPU cycles, which could impact overall array performance during peak IOPS bursts
C) Inline compression processes may introduce a marginal write penalty that could slightly impact the application's transaction commit times
D) Inline deduplication on highly active OLTP database tables often yields minimal savings due to the high entropy of small, unique transactional records
E) Enabling data reduction will universally increase the read latency for all data currently residing in the host's local RAM cache
3. A Storage Procurement Specialist is reviewing a final design package for a large HPE Alletra Storage MP deployment.
Customer Requirements:
VMware vSphere
Oracle RAC
SAP HANA
Remote Replication
Fibre Channel
Future NVMe adoption
Which THREE validation activities are considered best practice before final approval? (Choose
3.)
A) Perform production workload migration testing before purchase
B) Validate interoperability through SPOCK
C) Review supported component requirements through QuickSpecs
D) Generate snapshot retention analytics before approval
E) Verify configuration compatibility through OneConfig
4. A Data Center Operations Engineer is tasked with managing the firmware lifecycle for a multi- tenant environment. Seeking to access a new telemetry feature, the engineer upgrades the central HPE Alletra Storage MP array to the absolute latest OS version released that morning.
The next day, several legacy Windows Server 2016 clusters and an older AIX database host completely lose access to their LUNs, causing a massive severity-1 outage.
Which TWO statements describe the anti-patterns and critical failures executed during this upgrade process? (Choose 2.)
A) Assuming that the newest storage array firmware is universally backward-compatible with all legacy host OS versions without reading the release notes
B) Failing to execute a manual LUN unmasking script prior to the upgrade, which permanently corrupted the host-to-volume presentation mappings
C) Applying major array OS updates without first validating that all connected host operating systems and multipath drivers are certified on the SPOCK matrix
D) Bypassing the HPE OneConfig hardware validation portal, which must be run prior to every software upgrade to generate a new software entitlement BOM
E) Upgrading array firmware without simultaneously forcing a reboot of all connected Fibre Channel switches violates standard SAN fabric clearing protocols
5. A customer intends to consolidate Oracle RAC, SAP HANA, SQL Server, VMware, VDI, and Development environments onto a single HPE Alletra Storage MP platform.
Business Requirement:
"No development activity should impact production application latency." Which THREE architectural controls should be implemented? (Choose 3.)
A) Disable snapshots on development environments
B) Configure Minimum IOPS guarantees for mission-critical production workloads
C) Disable compression globally to eliminate controller CPU utilization
D) Utilize InfoSight workload analytics to identify emerging contention patterns
E) Configure Maximum IOPS limits for development and test workloads
Solutions:
| Question # 1 Answer: B,D | Question # 2 Answer: B,C,D | Question # 3 Answer: B,C,E | Question # 4 Answer: A,C | Question # 5 Answer: B,D,E |
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