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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Troubleshooting HPE Storage Solutions | 15% | - Diagnose storage connectivity issues - Troubleshoot performance bottlenecks - Perform health checks and diagnostics - Resolve data protection and replication issues |
| Topic 2: HPE Storage Solutions Integration | 30% | - Implement data protection and disaster recovery - Integrate HPE Nimble Storage with network environments - Integrate HPE Primera and HPE 3PAR with SAN infrastructure - Integrate with cloud providers (AWS, Azure, GCP) - Integrate HPE StoreOnce with backup software |
| Topic 3: Architecting HPE Storage Solutions | 35% | - Design HPE Cloud Bank target solutions - Design HPE Nimble Storage solutions - Design block, file, and object storage solutions - Design HPEPrimera and HPE 3PAR StoreServ solutions - Design HPE StoreOnce solutions for backup and recovery |
| Topic 4: HPE Storage Solutions Management | 20% | - Manage and monitor storage infrastructure using HPE tools - Implement performance optimization strategies - Configure quality of service (QoS) - Perform capacity planning and reporting |
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NEW QUESTION # 25
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 # 26
An administrator needs to use a plug-in to provide monitoring of the performance of applications, servers, databases, tools, and services through an SaaS-based data analytics platform. Which Morpheus plug-in should the administrator install?
Answer: B
Explanation:
HPE Morpheus Enterprise provides extensive native monitoring for provisioned resources, but for deep, full-stack observability into applications, databases, and third-party services via a specialized SaaS-based analytics platform, it integrates with external providers through plugins.
The Datadog Integration Plugin is a primary example of this capability. Datadog is an industry-leading SaaS data analytics platform that monitors performance across every layer of the stack-from infrastructure metrics to application traces and logs. By installing the Datadog plugin in Morpheus, the administrator bridges the gap between the orchestration engine (Morpheus) and the observability platform (Datadog). This plugin adds a contextual "Datadog" tab to instances within the Morpheus UI, pulling real-time performance telemetry directly from the SaaS backend into the Morpheus management pane. This allows the administrator to view workload health and deep-dive analytics without switching consoles.
While HPE OpsRamp (Option C) is part of the broader HPE CloudOps Software suite and provides similar observability features, it is often treated as a separate, complementary software component rather than a specific "SaaS plugin" used within the core Morpheus instance-level analytics in the same context as Datadog's marketplace integration. The Morpheus Agent (Option A) is a local software component used for guest-level automation and basic health checks, not a SaaS analytics platform. By choosing Datadog, the administrator leverages a purpose-built SaaS solution to gain the "monitoring of applications, servers, and databases" required by the prompt through a pre-validated community or enterprise plugin.
NEW QUESTION # 27
A storage architect needs to design a highly scalable object storage platform for unstructured data growth exceeding 50 PB over five years. The customer also requires native S3 compatibility.
Which HPE solution is most appropriate?
Answer: C
Explanation:
HPE Ezmeral Data Fabric supports massive-scale unstructured storage and native object protocols like S3. It is designed for multi-petabyte environments requiring distributed scalability.
Apollo is hardware only, Alletra MP focuses block/file, and GreenLake File Storage is optimized for enterprise NAS rather than hyperscale object workloads.
NEW QUESTION # 28
An HPE Partner is creating a proposal for an HPE customer that involves HPE Morpheus Enterprise. What does the partner need to determine to configure the correct number of Morpheus licenses in Online Config Advanced (OCA)?
Answer: C
Explanation:
HPE Morpheus Enterprise is a comprehensive multi-cloud management and orchestration platform that enables self-service provisioning and lifecycle management across private and public clouds. To accurately size and quote a Morpheus solution in tools like HPE Online Config Advanced (OCA), the primary licensing metric is the Workload Element (WLE), also frequently referred to as a Workload Element (WE) in some documentation.
A Workload Element is defined as a granular unit of compute directly associated with an application service that is being managed or inventoried by Morpheus. This includes:
* Virtual Machines (VMs) on-premises (e.g., VMware vCenter, Hyper-V).
* Instances in the public cloud (e.g., AWS EC2, Azure VMs, Google Cloud instances).
* Bare metal servers if they are provisioned to run application services.
* Container deployments (such as Kubernetes pods).
Importantly, Morpheus does not count supporting infrastructure like storage arrays, load balancers, or physical hypervisor hosts (e.g., the physical server running ESXi) as Workload Elements. Licensing is typically based on a concurrent model, meaning the customer must license the total number of WLEs under management at any given time, regardless of whether they are located on-prem or in a public cloud.
Therefore, the partner must calculate the aggregate sum of all VMs and cloud instances the customer intends to manage to ensure the license quantity in OCA is correct.
NEW QUESTION # 29
An HPE Partner is designing a disaster recovery architecture based on Zerto. The architecture has two sites: a production site and a disaster recovery (DR) site. Which option best describes the solution when the Extended Journal Copy feature is implemented?
Answer: A
Explanation:
The Zerto architecture for disaster recovery is designed as a scale-out solution that integrates directly into the hypervisor layer. The primary management component is the Zerto Virtual Manager (ZVM), which must be installed at each site (production and recovery) to manage the local resources and coordinate with its peer across the network. Data movement is handled by the Virtual Replication Appliance (VRA), a lightweight virtual machine installed on every hypervisor host where protected VMs reside.
When implementing Extended Journal Copy (formerly known as Long-Term Retention), Zerto leverages its unique Continuous Data Protection (CDP) stream. In a typical disaster recovery scenario, writes are captured at the production site and replicated asynchronously to the DR site. These writes are stored in the DR site journal, which provides a rolling history for short-term recovery. The Extended Journal Copy feature builds upon this by taking data directly from the DR site storage and moving it into a long-term repository. Because the "copies" are derived from the data already present at the recovery location, there is no impact on the production site performance and no requirement for additional storage space at the primary site for backup retention. This "off-host" backup approach eliminates the traditional backup window and ensures that the production environment remains lean while the DR site handles both short-term recovery (seconds to days) and long-term compliance (months to years).
NEW QUESTION # 30
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