Advanced HPE Compute Architect v1.0

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Exam contains 59 questions
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You are recommending HPE Slingshot as the interconnect for an HPC cluster that also runs AI training.
Which statement correctly describes this solution’s benefits for this use case?

  • A. The most important factor for an AI training interconnect is the network’s total bandwidth. HPE Slingshot uses a high bandwidth, non-blocking topology.
  • B. AI training requires a convergence of InfiniBand and Ethernet technologies, which HPE Slingshot delivers by integrating these technologies in its top-of-rack (ToR) switches.
  • C. The performance for AI training mostly depends on the average latency delivered by the network, which HPE Slingshot reduces using ECMP routing.
  • D. AI training requires low tail latency because computations cannot continue until all GPUs have exchanged weights. HPE Slingshot delivers that with adaptive routing and congestion control.


Answer : D

A customer wants to deploy an AI-powered chatbot using HPE Private Cloud AI but needs help putting together all the components.
What should you recommend the customer use?

  • A. An NVIDIA AI blueprint
  • B. A Ray Serve deployment
  • C. An Airflow DAG
  • D. A Kubeflow pipeline


Answer : A

A customer wants to understand more about how HPE AI Essentials secures communications between pods running on HPE AI Essentials.
Which correctly describes how these pods authenticate each other when establishing TLS communications?

  • A. Using SVIDs obtained from the built-in SPIRE server
  • B. Using certificates issued by the HPE GreenLake identity provider
  • C. Using certificates signed by the built-in Istio gateway
  • D. Using tokens obtained from the built-in Keycloak


Answer : A

You are proposing HPE Cray Storage Systems C500 for a customer’s converged HPC/AI training cluster.
What is one correct explanation of the benefits of this solution for this use case?

  • A. This solution provides strong read and write performance based on Lustre parallel storage.
  • B. This solution uses S3-compatible object storage, backed by disaggregated block storage, to combine scalability with flexibility.
  • C. This solution features an HPE proprietary parallel storage protocol that is optimized for the random read workloads characteristic of HPC/AI.
  • D. This solution provides clustering for NAS to eliminate bottlenecks and improve I/O.


Answer : A

A healthcare AI research team has a software stack for AI-based image analysis and LLM-based diagnostics. However, the team needs hardware that better supports this use case.
Which hardware option fulfills these technical requirements?

  • A. HPE Synergy 480 Gen12 with two 48-core processors
  • B. HPE ProLiant DL360 Gen12 with NVIDIA L4 GPUs and two 32-core processors
  • C. HPE ProLiant DL384 Gen12 with NVIDIA GH200 NVL2
  • D. HPE ProLiant DL580 Gen12 with four 32-core processors


Answer : C

A customer is considering HPE Private Cloud AI for an AI PoC and needs to choose between a small configuration and a Developer System configuration.
What is one difference that you should explain?

  • A. The Developer System runs entirely in the cloud, as opposed to having on-prem hardware.
  • B. The Developer System uses less powerful L4 GPUs, as opposed to L40S GPUs.
  • C. The Developer System uses integrated storage rather than GreenLake for File Storage.
  • D. The Developer System has a reduced set of software tools and capabilities compared to the small configuration.


Answer : C

Which HPE Private Cloud AI configuration is designed for early development and prototyping use cases?

  • A. Large
  • B. Small
  • C. Developer System
  • D. Medium


Answer : C

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. Configure the Airflow framework to reference each existing GitHub repo using individual secrets for the credentials.
  • B. Replicate the built-in Airflow framework to the namespace of each user with an existing GitHub repo.
  • C. Create a recurring Spark pipeline to copy the DAGs from each GitHub to the Shared Data Volume from which Airflow pulls the DAGs.
  • D. Set up one Github repo, to which they will refer the Airflow framework, with the existing GitHub repos added as submodules.


Answer : D

What is the role of the Retriever Embedding NIM in an NVIDIA NeMo retriever pipeline?

  • A. To determine which vectors retrieved from the RAG database best match a query
  • B. To receive ingested data and prepare it for storage in a RAG database
  • C. To submit queries to a structured database
  • D. To generate responses to queries submitted by users


Answer : B

A manufacturer is seeking a solution that provides a high density of NVLink-capable GPUs for their fluid dynamic simulations.
Which HPE solution meets these needs?

  • A. HPE ProLiant Compute DL145
  • B. HPE Cray XD690
  • C. HPE Cray XD2000 chassis with HPE Cray XD295v
  • D. HPE ProLiant Compute DL320


Answer : B

A customer requires an HPE Cray Storage Systems C500 solution with an SMU and a fully populated C500 CSU using 6.4TB drives. The customer needs to add at least 64TB of raw flash capacity.
What should you recommend?

  • A. Adding a half-populated 5U84 disk enclosure and an SMU
  • B. Adding a half-populated SSU-F expansion unit
  • C. Adding a fully populated 5U84 disk enclosure
  • D. Adding a fully populated SSU-F expansion unit and an SMU


Answer : B

An HPE Private Cloud AI administrator is running multiple AI workloads and needs insight into which workloads are using resources.
Which HPE Private Cloud AI feature helps to deliver this visibility?

  • A. HPE GreenLake Cloud AI Insights
  • B. HPE Private Cloud AI system view
  • C. AI optimized nodes’ iLO interfaces
  • D. HPE AI Essentials GPU control panel


Answer : D

A customer is building a chatbot that incorporates an LLM. The customer wants to prevent the chatbot from responding to or generating toxic content.
What should you recommend to the customer?

  • A. Use NVIDIA NeMo Guardrails execution rails.
  • B. Use NVIDIA Evaluator exact match checks.
  • C. Use NVIDIA NeMo Guardrails input and output rails.
  • D. Use NVIDIA Evaluator to check the LLM’s F1 score.


Answer : C

An automotive engineering team is running inference workloads for traffic simulation and computer vision models using KServe on HPE Private Cloud AI.
The team also uses GPU-enabled notebooks running on HPE Private Cloud AI to experiment with new models. They want to automatically adjust GPU usage for the different models based on current demand, as well as ensure that the notebooks never prevent the inferencing workloads from receiving the GPUs they need.
Which two features support this functionality? (Choose two.)

  • A. Kyverno mutating admission policies
  • B. Autoscaling for KServe
  • C. Canary roll outs for KServe
  • D. HPE AI Essentials scheduler priorities


Answer : BD

Which component, included in HPE Private Cloud AI, can customers use to automate a data pipeline, based on a series of Spark Applications?

  • A. Airflow
  • B. HPE Machine Learning Inference Software
  • C. Ray
  • D. MLflow


Answer : A

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Exam contains 59 questions
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