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HP HPE7-S01 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Design HPE Solutions for AI and HPC Workloads	50%	- Solution architecture and design 1. Capacity planning 2. Workload analysis 3. Performance optimization - Infrastructure integration 1. Scalability and resiliency design 2. Compute, storage, and networking integration 3. Hybrid cloud architectures
Topic 2: Demonstrate AI Solutions	10%	- AI solution demonstration 1. Customer use cases 2. Solution positioning 3. Business value presentation
Topic 3: Manage Implementation and Startup of HPE AI and HPC Solutions	2%	- Deployment and validation 1. Operational readiness 2. Implementation planning 3. Configuration verification
Topic 4: Explain HPE Compute AI and HPC Solution Components and Architecture	38%	- Management and automation 1. Lifecycle management 2. HPE OneView 3. HPE GreenLake - HPE Compute portfolio 1. HPE Synergy 2. HPE ProLiant servers 3. HPE Cray systems - AI and HPC architectures 1. High-performance workload platforms 2. NVIDIA integration 3. GPU-accelerated computing

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HP Advanced HPE Compute Architect Solutions Written Exam Sample Questions (Q70-Q75):

NEW QUESTION # 70
A government customer requires servers whose components are traceable and assembled under controlled conditions to reduce supply chain risk.
What should you recommend?

A. HPE Trusted Supply Chain servers
B. ProLiant servers with the high-security iLO security state enabled
C. Standard ProLiant servers with TPM 2.0 modules installed
D. Servers ordered with HPE Factory Express Level 4 integration

Answer: A

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 # 71
A customer with 30 rack-mount ProLiant servers wants to view aggregated health status and perform group power operations without deploying any management software.
What should you recommend?

A. Agentless Management Service (AMS)
B. HPE OneView Standard
C. iLO Federation
D. HPE Compute Ops Management Enhanced

Answer: C

Explanation:
iLO Federation uses multicast peer discovery to let any iLO in a group display aggregated health, license, and firmware information and perform group power and configuration actions, with no external management server required.

NEW QUESTION # 72
A customer wants to use the Spark framework included in HPE Private Cloud AI to ingress and process data stored in an external MinIO object store. The customer wants to avoid distributing the store's access and secret keys to AI Users.
What should you advise AI administrators to do?

A. Set up an HPE AI Essentials data source to the MinIO object store.
B. Integrate the MinIO object store with the SSO and authorization framework provided by HPE Private Cloud AI's Keycloak.
C. Replicate the data from the MinIO object store to a NAS store compatible with the HPE AI Essentials Data Volumes format.
D. Create a custom spark image that is pre-integrated with the MinIO object store.

Answer: A

Explanation:
HPE AI Essentials lets administrators connect external S3 object stores such as MinIO as data sources. Users can then access them from clients such as Spark without being given the access key or secret key.
Reference:
https://support.hpe.com/hpesc/public/docDisplay?docId=a00aie18hen_us&docLocale=en_US&pa ge=ManageClusters%2Fconnect-object-stores.html

NEW QUESTION # 73
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. Converting all unstructured data such as PDFs into structured data for training datasets
B. Pulling data out of Retrieval Augmented Generation (RAG) databases into standard SQL databases
C. Storing data unencrypted in a single location so that it is ready for training
D. Identifying where data is stored and planning to run AI workloads nearby

Answer: D

Explanation:
AI pilot planning should start by mapping data locations, dependencies, access patterns, and latency/compliance constraints, then placing AI workloads close to the relevant data. Data movement, conversion, or insecure centralization are not appropriate first steps.

NEW QUESTION # 74
You are setting up a demonstration of HPE Private Cloud AI. You will show how easy it is to deploy a NIM with HPE Machine Learning Inference Software. As part of the demonstration, you worked with a developer to create a simple web application that sends queries to this NIM.
What is one important thing to keep in mind about your plan?

A. You must set up a storageclass that references HPE GreenLake for File Storage in advance to ensure that the deployment proceeds correctly.
B. You will need to set up the application to include an API token, associated with the deployment, in the headers of requests.
C. You must establish a private NGC registry and collect its credentials to prepare for defining the source in HPE Machine Learning Inference Software.
D. You must develop an API that understands the application's queries and incorporates those in the NIM as a custom image.

Answer: B

Explanation:
HPE AI Essentials inference endpoints use access tokens for remote/client access, so the web application must pass the deployment's API token in the request headers when querying the NIM endpoint.
Reference:
https://support.hpe.com/hpesc/public/docDisplay?docId=a00aie18hen_us&docLocale=en_US&pa ge=pcai%2FGenAI%2Finfer-model-endpoint.html&

NEW QUESTION # 75
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