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HP HPE7-S01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: HPE Compute Architecture and Technologies | 25% | - Virtualization and container integration - HPE ProLiant, Apollo and Superdome Flex platforms - Compute component selection: processors, memory, storage, accelerators |
| Topic 2: Customer Success and Solution Optimization | 10% | - Solution demonstration and value justification - Troubleshooting and continuous improvement |
| Topic 3: Implementation and Lifecycle Management | 15% | - Upgrade, maintenance and monitoring - Deployment planning and validation |
| Topic 4: Integration with Data Center Infrastructure | 20% | - Networking and storage integration - HPE OneView management and automation - Security, compliance and data protection |
| Topic 5: Solution Design for Enterprise Workloads | 30% | - Design for AI, HPC and mission-critical workloads - Requirements analysis and environment assessment - Scalability, availability and performance optimization |
HP Advanced HPE Compute Architect Solutions Written Sample Questions:
You want to demonstrate HPE Private Cloud AI running a complex AI application, such as a video search app, to a customer.
What is one good resource for putting together this demonstration more quickly?
- A. NVIDIA AI blueprints
- B. NVIDIA CUDA catalog
- C. HPE GitHub repo for Airflow demos
- D. The tutorials folder in the HPE AI Essentials shared directory
Correct Answer: A 🗳️
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Which statement correctly describes hardware security capabilities for HPE Cray XD systems?
- A. BMC software integrates with an iLO ASIC to provide hardware root of trust capabilities.
- B. The HPE Cray XD systems use the same iLO ASIC and firmware as the HPE ProLiant DL line.
- C. A BMC ASIC enables secure boot any root of trust capabilities similar to those in HPE iLO.
- D. The HPE Cray XD systems include a sidecar node dedicated to security functions, such as monitoring firmware and OS for compromise.
Correct Answer: C 🗳️
Explanation: Only visible for Dumps4PDF members. You can sign-up / login (it's free).
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. Set up one Github repo, to which they will refer the Airflow framework, with the existing GitHub repos added as submodules.
- C. Configure the Airflow framework to reference each existing GitHub repo using individual secrets for the credentials.
- D. Create a recurring Spark pipeline to copy the DAGs from each GitHub to the Shared Data Volume from which Airflow pulls the DAGs.
Correct Answer: B 🗳️
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A customer's rack has a hard power budget, and the architect must guarantee that a group of servers never exceeds a defined total wattage.
What should you recommend?
- A. Reduce processor core counts in the configuration
- B. Configure dynamic power capping through iLO or HPE OneView for the server group
- C. Set the HPE Power Regulator to OS Control Mode
- D. Configure Static Low Power Mode in each server's BIOS
Correct Answer: B 🗳️
Explanation: Only visible for Dumps4PDF members. You can sign-up / login (it's free).
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 uses integrated storage rather than GreenLake for File Storage.
- B. The Developer System has a reduced set of software tools and capabilities compared to the small configuration.
- C. The Developer System runs entirely in the cloud, as opposed to having on-prem hardware.
- D. The Developer System uses less powerful L4 GPUs, as opposed to L40S GPUs.
Correct Answer: A 🗳️
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