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HP HPE7-S01 Exam Syllabus Topics:

SectionWeightObjectives
Explain HPE Compute AI and HPC Solution Components and Architecture38%- AI and HPC architectures
  • 1. High-performance workload platforms
  • 2. GPU-accelerated computing
  • 3. NVIDIA integration
- Management and automation
  • 1. HPE GreenLake
  • 2. HPE OneView
  • 3. Lifecycle management
- HPE Compute portfolio
  • 1. HPE Cray systems
  • 2. HPE ProLiant servers
  • 3. HPE Synergy
Demonstrate AI Solutions10%- AI solution demonstration
  • 1. Customer use cases
  • 2. Solution positioning
  • 3. Business value presentation
Manage Implementation and Startup of HPE AI and HPC Solutions2%- Deployment and validation
  • 1. Operational readiness
  • 2. Implementation planning
  • 3. Configuration verification
Design HPE Solutions for AI and HPC Workloads50%- Infrastructure integration
  • 1. Hybrid cloud architectures
  • 2. Compute, storage, and networking integration
  • 3. Scalability and resiliency design
- Solution architecture and design
  • 1. Capacity planning
  • 2. Workload analysis
  • 3. Performance optimization

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HP Advanced HPE Compute Architect Solutions Written Exam Sample Questions (Q67-Q72):

NEW QUESTION # 67
A government customer requires servers whose components are traceable and assembled under controlled conditions to reduce supply chain risk.
What should you recommend?

Answer: C

Explanation:
HPE Trusted Supply Chain servers are built in controlled facilities by vetted personnel, ship with security settings enabled and verified firmware, and provide component traceability. Factory Express provides custom integration but does not address supply chain provenance.


NEW QUESTION # 68
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.)

Answer: B,C

Explanation:
KServe autoscaling adjusts inference deployment capacity based on demand. HPE AI Essentials scheduler priorities ensure higher-priority inference workloads can get GPUs ahead of lower- priority notebook workloads.
Reference: https://kserve.github.io/website/docs/model-serving/predictive- inference/autoscaling/hpa-autoscaler
https://support.hpe.com/hpesc/public/docDisplay?docId=a00aie17hen_us&docLocale=en_US&pa ge=pcai%2FGenAI%2Fdeploying-knowledge-base.html


NEW QUESTION # 69
A retail customer has 400 ProLiant DL servers distributed across store locations with no local IT staff and no management appliance on site.
Which HPE solution should you recommend for firmware lifecycle management?

Answer: B

Explanation:
HPE Compute Ops Management is a cloud-based service in the HPE GreenLake platform that provides firmware baseline management, monitoring, and reporting for distributed servers without requiring on-premises management infrastructure.


NEW QUESTION # 70
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?

Answer: D

Explanation:
NVIDIA AI Blueprints are predefined, customizable reference workflows/sample AI applications designed to accelerate building and demonstrating complex AI use cases. HPE AI Essentials specifically describes Blueprints as workflows for creating and deploying generative AI applications.
Reference:
https://support.hpe.com/hpesc/public/docDisplay?docId=sd00007592en_us&docLocale=en_US& page=GUID-7899509F-3811-4AB7-9528-DCD0A948F4FE.html


NEW QUESTION # 71
A customer wants on-premises HPE compute but needs to avoid a large upfront capital purchase and pay based on actual consumption, with buffer capacity installed ahead of demand.
What should you recommend?

Answer: C

Explanation:
HPE GreenLake delivers on-premises infrastructure as a consumption-based service. Buffer capacity is installed and available immediately but is billed only when used, which combines cloud-like economics with on-premises control.


NEW QUESTION # 72
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