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| Section | Objectives |
|---|
| Topic 1: SAN and Connectivity Technologies | - Fibre Channel and iSCSI networking
- 1. SAN zoning and fabric design
- 2. Multipathing and high availability
|
| Topic 2: HPE Storage Portfolio Overview | - HPE storage product families and positioning
- 1. Alletra storage solutions
- 2. Nimble Storage architecture
- 3. Primera and legacy 3PAR overview
|
| Topic 3: Data Protection and Availability | - Backup, replication, and disaster recovery
- 1. Business continuity strategies
- 2. Snapshots and replication technologies
|
| Topic 4: Storage Architecture and Design | - Core storage architecture concepts
- 1. Scalability and performance design principles
- 2. Block, file, and object storage models
|
| Topic 5: Storage Management and Operations | - Storage provisioning and lifecycle management
- 1. Monitoring and performance tuning
- 2. Automation and orchestration concepts
|
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HPE Storage Architect Sample Questions (Q64-Q69):
NEW QUESTION # 64
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 API script fails to account for the mandatory 20% headroom buffer required on StoreOnce appliances to perform secure erase operations
- B. The methodology incorrectly calculates the exhaustion period by assuming the 30TB initial workload will immediately deduplicate at the historical average ratios
- C. The projection model assumes that the Fibre Channel replication link has sufficient bandwidth to transport the new surveillance data within the backup window
- D. 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
- E. The forecast ignores the impact of overlapping snapshot retention expiration cycles, which typically cause backup tier growth to follow a stepped, non-linear trajectory
Answer: B,D
NEW QUESTION # 65
Which three components are used to calculate the journal size for a Zerto data protection solution?
- A. Average network throughput of all VMs
Average throughput of all VM volumes
Average compression ratio - B. History in seconds -
Average network throughput of all VMs
Average deduplication ratio - C. Average throughput of all VM volumes
Average deduplication ratio -
Average compression ratio - D. History in seconds -
Average throughput of all VM volumes
Average compression ratio
Answer: D
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 # 66
A customer has a VMware vCenter solution to handle most of their workloads. The customer will be purchasing a pair of HPE Alletra Storage MP B10000 systems on which they will run most of their existing workloads.
They want to ensure that allocation units are aligned to get the best efficiency out of their new storage solution.
Which VMware software should the customer use to port the VMs?
- A. VMware vSphere Auto Deploy
- B. VMware vCenter Converter
- C. VMware vSphere Update Manager
- D. VMware vCenter vMotion
Answer: B
Explanation:
VMware vCenter Converter is the named migration and conversion utility for the scenario in which existing VMs are to be moved while addressing disk or partition alignment. Alignment matters because poorly aligned guest I/O can cross underlying allocation boundaries and lead to additional physical operations, reducing storage efficiency. A conversion workflow can rebuild or reconfigure destination virtual disks and provide an opportunity to correct historical partition-layout problems. HPE Alletra Storage MP B10000 uses virtualized volume allocation and efficient backend page management, making appropriate guest and datastore configuration relevant to performance. vMotion and Storage vMotion move running compute or storage workloads but do not inherently correct a guest partition-alignment issue. Auto Deploy provisions ESXi hosts; Update Manager addresses software lifecycle maintenance. The conversion procedure requires validation of VMware version support, VM operating systems, boot configurations, application consistency, and recovery arrangements. Testing a representative migrated workload before broad rollout helps detect alignment or application compatibility problems.
Study Guide Reference: Alletra MP, allocation alignment, VMware Converter and workload migration.
Official reference(s): B10000 architecture
NEW QUESTION # 67
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?
- A. Workload A, because databases typically yield the highest inherent compression savings on modern platforms
- B. Workload C, because it has the largest initial written footprint prior to any data reduction application
- C. Workload B, because the high deduplication ratio of identical OS images yields the highest percentage reduction
- D. Workload C, because unstructured file data inherently compresses at ratios exceeding both database and VDI workloads
Answer: C
NEW QUESTION # 68
An HPE InfoSight predictive analytics report identifies a rapidly deteriorating capacity forecast.
[Capacity Forecast Dashboard]
Physical Capacity Used: 560 TB
Physical Capacity Free: 34 TB
Forecasted Exhaustion: 21 Days
Application Growth: 0.9 TB/Month
Snapshot Growth: 24 TB/Month
Recent Changes:
Immutable Snapshot Policy Enabled
Retention Increased from 14 Days to 365 Days
Ransomware Protection Policy Applied
Which THREE conclusions are supported by the available telemetry? (Choose 3.)
- A. Enabling ransomware protection automatically disables data reduction technologies
- B. Long-lived immutable recovery points are likely retaining changed blocks that would otherwise be reclaimed
- C. Fibre Channel congestion is preventing snapshot metadata cleanup operations
- D. Retention policies should be reviewed before purchasing additional storage capacity
- E. Snapshot retention changes are contributing more significantly to capacity growth than application growth
Answer: B,D,E
NEW QUESTION # 69
......
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