HP HPE7-S01 - Advanced HPE Compute Architect Exam
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Total 59 questions
Question #6 (Topic: Exam A)
What is one benefit of the NVIDIA AI Enterprise license provided in HPE Private Cloud AI?
A. Drivers to permit executing training pipelines on GPUs outside of containers
B. Autoscaling of models across one or more GPUs based on current demand
C. Entitlement to use NVIDIA components in blueprints for accelerating AI application development
D. NVIDIA Data Center GPU Manager (DCGM) available from HPE Private Cloud AI platform
Answer: C
Question #7 (Topic: Exam A)
A customer has an HPE Private Cloud AI solution, running HPE AI Essentials 1.11. The customer has identified a NIM for an LLM that they want to use. The customer has imported NeMo microservices on the AI Essentials platform. The customer plans to use NeMo Customizer’s LoRA to fine-tune the LLM for their purposes.
What should you recommend that the customer do to deploy the fine-tuned model on HPE Private Cloud AI with HPE Machine Learning Inference Software?
What should you recommend that the customer do to deploy the fine-tuned model on HPE Private Cloud AI with HPE Machine Learning Inference Software?
A. Set up a custom OpenLLM registry in which they add the fine-tuned weights.
B. Store the fine-tuned weights in the local S3 object store.
C. Use environment variables when they deploy the model to point to the NeMo entity store running on AI Essentials.
D. Submit a support request to add the fine-tuned model to the NIMs hosted on HPE Private Cloud AI.
Answer: C
Question #8 (Topic: Exam A)
What is a benefit of the storage component of HPE Private Cloud AI (small, medium, and large configurations)?
A. It is built from the all-flash local drives on the AI-optimized nodes to provide the lowest latency.
B. It is built on GreenLake for File Storage, which supports both NFS and Lustre for mixed AI workloads.
C. It is built on GreenLake for File Storage, which supports low latency communications.
D. It is built from hybrid local drives on the AI-optimized nodes to balance performance and cost-effectiveness.
Answer: C
Question #9 (Topic: Exam A)
You are discussing HPE Private Cloud AI with a customer. The customer states that they need an easier way to visualize their analyses of data across multiple types of databases, such as SQL Server and MongoDB.
What should you explain?
What should you explain?
A. The customer can add these databases as data sources in HPE AI Essentials and then use that platform’s built in Superset and EzPresto frameworks to visualize the data.
B. The customer can add these databases as data sources in HPE AI Essentials. Users can then reference those sources in Knowledge Bases to run AI-based analytics and visualizations on them.
C. The customer can integrate databases as data volumes on HPE AI Essentials. The customer can then use Notebook servers included with HPE AI Essentials to browse and query the data.
D. The customer can synchronize these databases with GreenLake for File Storage, which is included as part of the Private Cloud AI solution. The customer can then use AI built into that solution to enrich the data with metadata and analyze it.
Answer: A
Question #10 (Topic: Exam A)
You are proposing 40 HPE Cray XD670 systems with NVIDIA H200 GPUs to a customer. You also propose HPE Performance Cluster Manager (HPCM).
What is one benefit of HPCM that you should emphasize?
What is one benefit of HPCM that you should emphasize?
A. HPCM allows customers to monitor and optimize power consumption, including for NVIDIA GPUs.
B. HPCM integrates with HPE Private Cloud AI to provide a single interface for monitoring system’s health.
C. HPCM enables the systems to support hardware root of trust and OpenSSL.
D. HPCM provides GPU-compatible scheduling software for HPC jobs.
Answer: A
