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HP HPE7-S01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Design HPE Solutions for AI and HPC Workloads | 50% | - Infrastructure integration
|
| Manage Implementation and Startup of HPE AI and HPC Solutions | 2% | - Deployment and validation
|
| Demonstrate AI Solutions | 10% | - AI solution demonstration
|
| Explain HPE Compute AI and HPC Solution Components and Architecture | 38% | - Management and automation
|
HP Advanced HPE Compute Architect Solutions Written Sample Questions:
1. 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.)
A) HPE AI Essentials scheduler priorities
B) Autoscaling for KServe
C) Kyverno mutating admission policies
D) Canary roll outs for KServe
2. A customer complains that firmware and BIOS settings drift between identical Synergy compute modules over time.
What should you recommend to enforce consistency?
A) Schedule quarterly SPP updates from the Composer
B) Use server profile templates and monitor for profile compliance
C) Enable iLO Federation groups across all frames
D) Apply server profiles created individually per compute module
3. How does NVIDIA Spectrum-X address congestion?
A) It exclusively uses open standard technologies such as PFC and IP ECN to ensure compatibility for heterogeneous networks.
B) It allocates a dedicated buffer to each port to prevent traffic loss during congestion.
C) It uses flow metering based on information gathered from control packets to target congestion at the source.
D) It prevents congestion proactively by using ECMP to distribute traffic across multiple links.
4. A customer asks about the options HPE Private Cloud AI includes out of the box for hyperparameter optimization (HPO) during fine-tuning.
What is one thing that you should explain?
A) Administrators must expose the built-in Kuberay head service port 10001 externally in order to support Ray Tune.
B) Administrators must install a Livy server with which users can run interactive HPO sessions.
C) Users can run Katib experiments using the built-in Kubeflow framework, which includes several predefined trial templates.
D) Users can apply HPO to any training code by uploading the code to the MLflow UI accessible from HPE AI Essentials out of the box.
5. A financial services customer runs a market data application that is extremely sensitive to jitter and response time, not throughput.
Which UEFI workload profile should you recommend?
A) Low Latency
B) Graphic Processing
C) General Peak Frequency Compute
D) Virtualization - Max Performance
Solutions:
| Question # 1 Answer: A,B | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: A |






