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| Section | Weight | Objectives |
|---|
| Emerging Technologies and Solutions | 10% | - Hybrid cloud and multi-cloud storage
- 1. HPE GreenLake and cloud integration
- Software-defined storage and modern architectures
- 1. Container storage and object storage
|
| Deployment and Integration | 20% | - Installation and configuration
- 1. Integration with virtualization and cloud environments
- 2. Array setup and provisioning
- Networking and connectivity
- 1. Fibre Channel, iSCSI, and NVMe-oF
- 2. Fabric design and best practices
|
| Management and Optimization | 15% | - Troubleshooting and problem resolution
- 1. Optimizing efficiency and cost
- 2. Diagnosing storage issues
- Monitoring and administration
- 1. HPE OneView and Data Services Cloud Console
- 2. Performance monitoring and tuning
|
| Storage Architecture and Design | 30% | - HPE storage portfolio architecture
- 1. Alletra, Primera, and 3PAR systems
- 2. HPE GreenLake storage solutions
- Design principles for enterprise storage
- 1. Scalability and performance requirements
- 2. Capacity planning and optimization
|
| Data Protection and Availability | 25% | - Backup and recovery strategies
- 1. Snapshot, replication, and cloning technologies
- 2. Disaster recovery design and implementation
- High availability solutions
- 1. Data integrity and consistency
- 2. Continuous access and failover mechanisms
|
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HP Advanced HPE Storage Architect Solutions Written Exam Sample Questions (Q70-Q75):
NEW QUESTION # 70
Hotspot Question
An HPE Partner is sizing an Alletra MP B10000 array for a customer using the HPE Ninja Sizer online tool. When tuning the solution, the partner is not getting the best read and write performance from the array. Use your cursor to place a + where the partner can click in the web GUI to begin to determine how to correct this Issue and appropriately size the solution for the customer.

Answer:
Explanation:

NEW QUESTION # 71
A customer wants to implement HPE Cloud Bank Storage with the detach option LTU feature.
Which statement is correct regarding the implementation of this feature?
- A. Support for reading and writing to the detached datastore is supported with the detach license installed.
- B. A detached Cloud Bank datastore can only be reconnected to the HPE StoreOnce system from which it was detached.
- C. HPE Cloud Bank Store must be connected using the connect (read-write) option.
- D. HPE Services is always required when reconnecting a detached datastore.
Answer: C
Explanation:
HPE Cloud Bank Storage is an extension of HPE StoreOnce Catalyst that enables the movement of deduplicated data to public, private, or hybrid cloud object storage. The Cloud Bank Detach feature is a critical lifecycle management capability designed for long-term retention and disaster recovery scenarios. According to the HPE StoreOnce User Guide, the "Detach" operation is a specific administrative action that essentially "unplugs" the Catalyst store from the local StoreOnce appliance while leaving the data intact in the cloud bucket (e.g., AWS S3 or Azure Blob). For an administrator to initiate the detach process, the Cloud Bank store must currently be in a Read-Write (RW) state on the StoreOnce system. If a store is currently connected as Read- Only (often the case after a disaster recovery sync), it cannot be detached until it is promoted or was originally connected in a Read-Write capacity. Once the detach operation is executed using the required Detach Capacity LTU (License to Use), the store enters a "Detached" state. In this state, the data in the cloud becomes immutable and the store is removed from the local StoreOnce system's active management. It is important to note that once detached, the store can only be reconnected to a StoreOnce system (either the original or a new one for DR) in a Read- Only state for recovery purposes.
NEW QUESTION # 72
An HPE Partner is using HPE CloudPhysics to size a new storage solution for a customer that currently has a non-HPE storage array. When looking at the graphs and statistics in CloudPhysics, what is the only summary statistic that has time-correlated values?
- A. Peak Details
- B. Storage Metrics
- C. Deduplication Performance
- D. Hardware Performance
Answer: A
Explanation:
HPE CloudPhysics is a SaaS-based analytics platform that collects high-resolution metadata (at
20-second intervals) from a customer's virtualized infrastructure to drive data-led procurement and optimization decisions. In the context of performance analysis and sizing, it is critical to understand not just the average utilization, but how different resource demands interact over time. The Peak Details statistic is unique within the CloudPhysics analytics framework because it provides time-correlated values across different resource dimensions (CPU, RAM, and Disk I/O).
While standard "Storage Metrics" or "Hardware Performance" summaries often present aggregated averages or 95th percentile figures that lose their temporal context, Peak Details allows an architect to see exactly when a spike occurred.
This correlation is essential for determining if a storage bottleneck is being driven by a simultaneous compute peak or if a specific "noisy neighbor" VM is impacting the entire datastore during a backup or batch processing window. By aligning disk latency peaks with IOPS and throughput peaks on the same timeline, CloudPhysics enables the architect to validate if the existing third-party array is truly under-provisioned or simply misconfigured. This time-correlated insight ensures that the new HPE storage solution is sized not just for total capacity, but for the actual performance "burstiness" observed in the customer's production cycle. Other metrics, while useful for high-level summaries, do not provide the granular, synchronized timeline required to perform a deep-dive root cause analysis or precision sizing for mission-critical workloads.
NEW QUESTION # 73
Drag and Drop Question
Order the steps for a write data path and a successful write IO in HPE GreenLake for File Storage using NAS.

Answer:
Explanation:

NEW QUESTION # 74
A customer purchased an HPE GreenLake for File Storage solution and implemented the replication feature. Which statement is correct regarding this feature?
- A. N:1 and 1:N replication is supported, with snapshots taken at the directory level.
- B. Client hardware has read-write access to both the source and destination replication arrays.
- C. Two protected paths configured on the same path can be used to replicate to the same peer.
- D. Data reduction, including deduplication, is performed between the storage arrays.
Answer: A
Explanation:
HPE GreenLake for File Storage is built upon a disaggregated, shared-everything (DASE) architecture powered by VAST Data software. The replication mechanism in this environment is fundamentally different from traditional block-based replication. Instead of replicating entire volumes or LUNs, HPE GreenLake for File Storage performs replication at the directory level.
According to the HPE GreenLake for File Storage Administrator Guide, the system utilizes a snapshot-based asynchronous replication engine. This allows for highly flexible topologies, including N:1 (fan-in) and 1:N (fan-out) configurations, which are essential for modern distributed data environments and centralized backup strategies. Because the solution is file-based, it leverages "Views" (or shares) that point to specific directory paths. Protection policies and snapshot schedules are applied directly to these paths, ensuring that only the specific datasets required for disaster recovery are replicated.
NEW QUESTION # 75
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