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| Section | Weight | Objectives |
|---|---|---|
| Explain HPE Compute AI and HPC Solution Components and Architecture | 38% | - AI and HPC architectures
|
| Design HPE Solutions for AI and HPC Workloads | 50% | - Infrastructure integration
|
| Manage Implementation and Startup of HPE AI and HPC Solutions | 2% | - Deployment and validation
|
| Demonstrate AI Solutions | 10% | - AI solution demonstration
|
1. 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 desired ratio of cache versus capacity drives
B) The nodes' iSCSI capabilities
C) The RAID modes supported by the nodes' storage controllers
D) The number of node failures to tolerate
2. You are configuring a solution in One Config Advanced (OCA).
What is a use case for the Customer Intent Document (CID)?
A) Receiving guidance for cabling layouts for integrated solutions
B) Specifying the units of measurement for HPE GreenLake billing tiers
C) Providing special testing instructions associated with a Factory Express Service
D) Indicating the support term for HPE Complete Care Services
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) Increase the number of vCPUs assigned to each virtual machine
B) Enable SR-IOV and assign virtual functions directly to the virtual machines
C) Enable jumbo frames on the virtual switch uplinks
D) Move the virtual machines to a dedicated port group with NIC teaming
4. An HPE Private Cloud AI customer needs help planning how to use Airflow within that solution.
The customer currently has several GitHub repos in which different teams store their DAGs.
What should you advise AI administrators to do?
A) Replicate the built-in Airflow framework to the namespace of each user with an existing GitHub repo.
B) Configure the Airflow framework to reference each existing GitHub repo using individual secrets for the credentials.
C) Set up one Github repo, to which they will refer the Airflow framework, with the existing GitHub repos added as submodules.
D) Create a recurring Spark pipeline to copy the DAGs from each GitHub to the Shared Data Volume from which Airflow pulls the DAGs.
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 in the solution.
B) The solution's Kuberay cluster has a GPU worker, and AI administrators can define the number of GPUs for that worker.
C) 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.
D) The solution's default Kuberay cluster does not support GPU workers, but the customer can deploy an additional Kuberay cluster that does.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: B |
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