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HP HPE7-S01 Exam Syllabus Topics:

SectionObjectives
Operations and Troubleshooting- Incident resolution and capacity planning
- Monitoring and performance optimization
HPE Compute Solutions Portfolio- HPE GreenLake compute offerings
- HPE ProLiant server solutions
- HPE Synergy and composable infrastructure
Solution Design and Integration- Storage and networking integration considerations
- High availability and scalability design
Security and Lifecycle Management- Secure compute architecture principles
- Firmware, patching, and lifecycle management
HPE Compute Architecture Design- Compute infrastructure planning and sizing
- Workload analysis and requirements mapping

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HP Advanced HPE Compute Architect Solutions Written Exam Sample Questions (Q82-Q87):

NEW QUESTION # 82
A customer requires assurance that server firmware cannot be compromised by malicious code injected below the OS level.
Which HPE ProLiant feature addresses this requirement?

Answer: C

Explanation:
Silicon Root of Trust embeds an immutable fingerprint in the iLO silicon during manufacturing.
Every firmware component is cryptographically validated against that fingerprint before it is allowed to execute, and compromised firmware triggers automatic recovery. Secure Boot and TPM operate higher in the boot chain and depend on firmware already being trustworthy.


NEW QUESTION # 83
An HPE Synergy customer wants compute modules to boot a bare-metal OS image with no OS installed on local disks, so that hardware can be repurposed within minutes.
Which component provides this capability?

Answer: D

Explanation:
HPE Synergy Image Streamer provides stateless, image-based OS deployment. Golden images and deployment plans are applied through server profiles, allowing compute modules to boot from the Image Streamer appliance instead of local storage.


NEW QUESTION # 84
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.)

Answer: A,C

Explanation:
KServe autoscaling adjusts inference deployment capacity based on demand. HPE AI Essentials scheduler priorities ensure higher-priority inference workloads can get GPUs ahead of lower- priority notebook workloads.
Reference: https://kserve.github.io/website/docs/model-serving/predictive- inference/autoscaling/hpa-autoscaler
https://support.hpe.com/hpesc/public/docDisplay?docId=a00aie17hen_us&docLocale=en_US&pa ge=pcai%2FGenAI%2Fdeploying-knowledge-base.html


NEW QUESTION # 85
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?

Answer: A

Explanation:
The Data Lakehouse Gateway is not AWS-only. HPE states it supports data lakehouses on AWS S3, NFSv4, and S3-compatible storage, so the best requirement is S3 or NFSv4 storage.
Reference:
https://support.hpe.com/hpesc/public/docDisplay?docId=a00aie111hen_us&docLocale=en_US&p age=EzPresto%2Fconnecting-data-lakehouses.html


NEW QUESTION # 86
A customer needs an upgrade for their ESXi hosts, and you are proposing HPE ProLiant DL servers. When you recommend using HPE custom ESXi images with these servers, the customer says that they have their own tools that they include on all images.
What should you explain?

Answer: C

Explanation:
HPE provides custom ESXi images, but customers can also use VMware Image Builder to create their own ESXi image, including their tools plus the required HPE drivers and bundles from HPE vibsdepot.
Reference: https://vibsdepot.hpe.com
https://www.hpe.com/us/en/collaterals/collateral.a50010842enw.html


NEW QUESTION # 87
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