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HP HPE7-S01 Exam Syllabus Topics:

HP Advanced HPE Compute Architect Solutions Written Sample Questions:

1. A customer plans to implement machine learning models but has limited visibility into where business data is generated and how it is managed across departments.
During the readiness assessment, which step will best support an accurate evaluation of their AI deployment potential?

A) Begin by installing a standard data lake connector and mapping legacy tables to object storage.
B) Focus the session on reviewing backup retention schedules and recovery point objectives.
C) Recommend bypassing initial workshops to begin with a small AI pilot on anonymized data.
D) Identify data sources, formats, ownership, and movement patterns across the organization.

2. What is one way that NVIDIA Spectrum-X addresses the needs of AI traffic?

A) It uses adaptive routing to reduce tail latency, particularly for large AI flows.
B) It allocates extra buffer space to ports that are dynamically determined to connect to AI optimized nodes.
C) It uses ECMP to ensure that AI communications use all available links effectively.
D) It uses IntServe to reserve sufficient bandwidth for AI flows and prevent any traffic loss.

3. A customer plans to train large language models on premises and requires eight interconnected GPUs per node with high GPU-to-GPU bandwidth.
Which platform should you recommend?

A) HPE ProLiant MicroServer with a discrete GPU
B) HPE Edgeline EL8000 with GPU mezzanine cards
C) HPE ProLiant DL360 Gen11 with two single-width GPUs
D) HPE ProLiant Compute XD servers

4. 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?

A) HPE GreenLake for Compute with metered consumption and installed buffer
B) Purchase of servers with HPE Pointnext Tech Care
C) Reserved instances in a public cloud with hybrid connectivity
D) A three-year operating lease through HPE Financial Services

5. An HPE Private Cloud AI customer wants to archive Prometheus metrics collected on the solution.
What should you recommend?

A) Install the Grafana framework on HPE Private Cloud AI and set up Prometheus as a data source.
B) Configure the Prometheus framework and enlarge the kubeprom-operator volume to at least
100G.
C) Set up an external OpenTelemetry (OTel) endpoint and register it in HPE AI Essentials.
D) Change the PV in the Prometheus namespace to use Retain mode.

Solutions: