HP HPE7-S01 : Advanced HPE Compute Architect Solutions Written Exam

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HP HPE7-S01 Exam Syllabus Topics:

HP Advanced HPE Compute Architect Solutions Written Sample Questions:

Question 1

Which statement correctly describes hardware security capabilities for HPE Cray XD systems?

A. The HPE Cray XD systems use the same iLO ASIC and firmware as the HPE ProLiant DL line.
B. A BMC ASIC enables secure boot any root of trust capabilities similar to those in HPE iLO.
C. BMC software integrates with an iLO ASIC to provide hardware root of trust capabilities.
D. The HPE Cray XD systems include a sidecar node dedicated to security functions, such as monitoring firmware and OS for compromise.

Question 2

An HPE Private Cloud AI customer wants to archive Prometheus metrics collected on the solution.
What should you recommend?

A. Configure the Prometheus framework and enlarge the kubeprom-operator volume to at least
100G.
B. Set up an external OpenTelemetry (OTel) endpoint and register it in HPE AI Essentials.
C. Install the Grafana framework on HPE Private Cloud AI and set up Prometheus as a data source.
D. Change the PV in the Prometheus namespace to use Retain mode.

Question 3

A customer runs latency-sensitive network functions in virtual machines and reports that the hypervisor virtual switch adds unacceptable overhead.
What should you recommend?

A. Enable jumbo frames on the virtual switch uplinks
B. Enable SR-IOV and assign virtual functions directly to the virtual machines
C. Increase the number of vCPUs assigned to each virtual machine
D. Move the virtual machines to a dedicated port group with NIC teaming

Question 4

You are configuring a proposal for HPE ProLiant servers to act as vSAN nodes in a new ESA cluster.
What is one piece of information needed to determine the nodes' drive capacity requirements?

A. The number of node failures to tolerate
B. The desired ratio of cache versus capacity drives
C. The RAID modes supported by the nodes' storage controllers
D. The nodes' iSCSI capabilities

Question 5

A customer plans to use Ray with HPE Private Cloud AI and wants to know more about the framework's integration with the solution's GPUs.
What should you explain?

A. The solution's Kuberay cluster supports GPUs by default and can autoscale up to the maximum number of GPUs on a single AI-optimized node.
B. The solution's default Kuberay cluster does not support GPU workers, but the customer can deploy an additional Kuberay cluster that does.
C. The solution's Kuberay cluster supports GPUs by default and can autoscale up to the maximum number of GPUs in the solution.
D. The solution's Kuberay cluster has a GPU worker, and AI administrators can define the number of GPUs for that worker.

Solutions: