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HP HPE7-S01 Exam Syllabus Topics:

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

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HP Advanced HPE Compute Architect Solutions Written Exam Sample Questions (Q26-Q31):

NEW QUESTION # 26
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?

Answer: C

Explanation:
HPE AI Essentials uses SPIRE/SPIFFE identities for workload authentication. Pods obtain SVIDs from the built-in SPIRE server, which are then used to establish authenticated TLS communication between workloads.


NEW QUESTION # 27
Which component, included in HPE Private Cloud AI, can customers use to automate a data pipeline, based on a series of Spark Applications?

Answer: B

Explanation:
Airflow is used to orchestrate and automate data pipelines as DAGs, including workflows that run a series of Spark Applications. MLIS is for inference, Ray is for distributed compute, and MLflow is for experiment/model tracking.


NEW QUESTION # 28
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?

Answer: B

Explanation:
HPE AI Essentials supports connecting external data sources such as MongoDB, and users can query them through EzPresto and visualize results with Superset dashboards/charts.


NEW QUESTION # 29
A customer's security policy requires that all management traffic use only approved cryptographic algorithms and that firmware downgrades be blocked on their ProLiant servers.
What should you recommend?

Answer: B

Explanation:
iLO security states such as High Security, FIPS, and CNSA restrict management interfaces to approved cipher suites and enforce authentication for all interfaces. The server configuration lock detects and blocks unauthorized hardware and firmware changes, including downgrades, and can halt the server if tampering is detected.


NEW QUESTION # 30
A customer has developed a custom NIM which they store in their NGC Private Registry. The customer would like to use that NIM in inferencing workloads running on HPE Private Cloud AI.
What should you recommend?

Answer: C

Explanation:
HPE Private Cloud AI uses HPE MLIS to deploy NIM-based inference services, and MLIS supports configuring an NGC registry so it can pull NIMs from NVIDIA NGC/private registry sources. Manual KServe or Ray Serve deployment is unnecessary for this use case.
Reference:
https://support.hpe.com/hpesc/public/docDisplay?docId=a00aie111dhen_us&docLocale=en_US& page=pcai%2FCatalogs%2Fdeploy-NIM-using-s3.html


NEW QUESTION # 31
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