Your customer needs a storage solution for their geographical information system (GIS) video storage. The software they use requires an SMB file share and writes video files of various sizes based on the bitrate of the cameras. They keep all video for a minimum of 10 years. They expect the size of their archive to grow over as cameras charge.
Which solution meets the customer's requirements?
Which traditional use cases can be handled by HPE GreenLake for Block? (Choose two.)
Collocated VMFS datastore mounted from an Alletra 9080 and protected by Zerto: This use case involves running virtual machines (VMs) on a VMware vSphere cluster that uses a VMFS datastore hosted on an HPE Alletra 9080 system. The VMFS datastore provides fast and consistent access to the VMs' data, while the HPE Alletra 9080 system delivers extreme performance, availability, and efficiency for the block storage. The VMs' data is also protected by Zerto, a software solution that provides continuous data protection, disaster recovery, and backup for virtualized environments. Zerto replicates the data from the HPE Alletra 9080 system to another site or cloud, ensuring business continuity and data integrity in case of any failure or outage.
On-premises mission critical Oracle database backed by an Alletra 6050: This use case involves running an Oracle database on a physical server that uses an HPE Alletra 6050 system as the block storage. The Oracle database supports mission-critical workloads that require high performance, availability, and security. The HPE Alletra 6050 system provides enterprise-grade block storage that delivers consistent low latency, high throughput, and high IOPS for the database. The HPE Alletra 6050 system also supports data services such as snapshots, clones, encryption, and replication for the database, enhancing its functionality and protection.
The other options are not traditional use cases that can be handled by HPE GreenLake for Block Storage. A containerized AI workload utilizing Microsoft Azure and an Apollo 4000 is a hybrid cloud use case that involves running AI applications on containers that use an HPE Apollo 4000 system as the storage. The HPE Apollo 4000 system is a big data and analytics platform that provides high-density, scalable, and cost-effective storage for large data sets. The containers are deployed on Microsoft Azure, a public cloud service that provides compute, storage, and networking resources for cloud applications. This use case is not supported by HPE GreenLake for Block Storage, as it does not involve block storage or HPE Alletra systems. A highly secure, air-gapped NFS share from an MSA 2062 is a file storage use case that involves creating an NFS share on an HPE MSA 2062 system that is isolated from the internet and other networks. The HPE MSA 2062 system is an entry-level storage system that provides affordable and flexible storage for small and medium businesses. The NFS share provides file access to the data stored on the HPE MSA 2062 system, while the air-gap provides security and protection from external threats. This use case is not supported by HPE GreenLake for Block Storage, as it does not involve block storage or HPE Alletra systems. A mainframe volumes provided by HPE XP8 storage is a mainframe storage use case that involves providing block storage for mainframe systems using an HPE XP8 system. The HPE XP8 system is a high-end storage system that provides extreme performance, availability, and scalability for mainframe and open systems. The HPE XP8 system supports mainframe volumes such as FICON, CKD, and ECKD, as well as open system volumes such as FC, iSCSI, and NVMe. This use case is not supported by HPE GreenLake for Block Storage, as it does not involve HPE Alletra systems.Reference:
HPE GreenLake for Block Storage
HPE GreenLake for Block Storage planning overview
HPE Alletra 9000 and 6000 systems
[HPE MSA 2062 storage]
[HPE XP8 storage]
You are generating a customer HPE GreenLake proposal for a customer.
Select the items that are mandatory when submitting the initial proposal to HPE for quoting.
(Choose two.)
When generating a customer HPE GreenLake proposal, you need to submit the following mandatory items to HPE for quoting:
Start Bill of Materials: This is a document that lists the initial hardware and software components, quantities, and prices that are required for the HPE GreenLake solution. It also includes the service level, the billing unit, the minimum and maximum capacity, and the buffer size. The Start Bill of Materials helps HPE to calculate the monthly fee and the buffer charge for the customer.
Completed Order Checklist: This is a document that contains the essential information and documents that are needed to process the HPE GreenLake order. It includes the customer name, address, contact details, legal entity, billing frequency, payment method, contract term, start date, end date, and signature. It also includes the attachments such as the Start Bill of Materials, the End Bill of Materials, the Statement of Work, the Credit Check Form, and the Customer Acceptance Form.
The other items are not mandatory for the initial proposal, but they may be required later in the order process:
End Bill of Materials: This is a document that lists the final hardware and software components, quantities, and prices that are delivered and installed for the HPE GreenLake solution. It may differ from the Start Bill of Materials due to changes in the customer requirements, availability, or pricing. The End Bill of Materials helps HPE to reconcile the actual usage and billing with the customer.
Signed Statement of Work: This is a document that defines the scope, deliverables, responsibilities, and terms and conditions of the HPE GreenLake service. It also includes the service level agreement, the service description, the service activation, the service management, the service reporting, and the service termination. The Statement of Work must be signed by both HPE and the customer before the service can start.
Credit Check Form: This is a document that authorizes HPE to perform a credit check on the customer to assess their financial stability and creditworthiness. The credit check helps HPE to determine the payment terms and conditions for the HPE GreenLake service.
You need to determine whether there is resource contention between VMs in an HPE Hyper-V environment.
Which tool should you use?
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