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HP HPE7-S01 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| HPE Compute Architecture Design | - Workload analysis and requirements mapping - Compute infrastructure planning and sizing |
| Solution Design and Integration | - High availability and scalability design - Storage and networking integration considerations |
| Operations and Troubleshooting | - Incident resolution and capacity planning - Monitoring and performance optimization |
| Security and Lifecycle Management | - Secure compute architecture principles - Firmware, patching, and lifecycle management |
| HPE Compute Solutions Portfolio | - HPE GreenLake compute offerings - HPE Synergy and composable infrastructure - HPE ProLiant server solutions |
HP Advanced HPE Compute Architect Solutions Written Sample Questions:
A customer runs latency-sensitive network functions in virtual machines and reports that the hypervisor virtual switch adds unacceptable overhead.
What should you recommend?
- A. Enable jumbo frames on the virtual switch uplinks
- B. Move the virtual machines to a dedicated port group with NIC teaming
- C. Increase the number of vCPUs assigned to each virtual machine
- D. Enable SR-IOV and assign virtual functions directly to the virtual machines
Correct Answer: D 🗳️
You are creating a proposal for HPE ProLiant DL servers to act as VMware ESXi hosts.
How does a customer requirement to support Fault Tolerance (FT) affect your plan?
- A. You must ensure that the servers' adapters are RoCEv2 capable.
- B. You must ensure that the servers have sufficient memory to reserve 20% for FT.
- C. You must ensure that the servers' storage controllers are compatible with SMP-FT.
- D. You must ensure that the servers' processors are compatible with SMP-FT.
Correct Answer: D 🗳️
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
You are demonstrating HPE Private Cloud AI and HPE Machine Learning Inference Software to a customer. The customer says that the organization has a custom model, stored in an OpenLLM hub, which they would like to deploy with HPE Machine Learning Inference Software.
What should you explain?
- A. HPE Machine Learning Inference Software can deploy this model if the customer packages it with Bento Archive and saves it to a PVC in HPE Private Cloud AI.
- B. HPE Machine Learning Inference Software supports pulling this model from the hub and deploying it.
- C. While HPE Machine Learning Inference Software does not support deploying custom models, KServe, also provided by HPE Private Cloud AI, does.
- D. While HPE Machine Learning Inference Software does not support deploying custom models, Ray Serve, also provided by HPE Private Cloud AI, does.
Correct Answer: B 🗳️
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
You are leading a workshop to help a customer deploy a pilot AI application.
With which data-related task should you help the customer?
- A. Pulling data out of Retrieval Augmented Generation (RAG) databases into standard SQL databases
- B. Storing data unencrypted in a single location so that it is ready for training
- C. Identifying where data is stored and planning to run AI workloads nearby
- D. Converting all unstructured data such as PDFs into structured data for training datasets
Correct Answer: C 🗳️
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
A customer is interested in HPE Private Cloud AI's Data Lakehouse Gateway and needs help determining whether this gateway will work with their data lakehouse.
What is one requirement to explain?
- A. The data lakehouse must be deployed on S3 or NFSv4 storage.
- B. The data lakehouse must provide native integration with EzPresto.
- C. The data lakehouse must be hosted in AWS.
- D. The data lakehouse must use ARVO files.
Correct Answer: A 🗳️
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
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