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| Section | Objectives |
|---|---|
| HPE Compute Solutions Portfolio | - HPE GreenLake compute offerings - HPE ProLiant server solutions - HPE Synergy and composable infrastructure |
| Operations and Troubleshooting | - Monitoring and performance optimization - Incident resolution and capacity planning |
| HPE Compute Architecture Design | - Compute infrastructure planning and sizing - Workload analysis and requirements mapping |
| Security and Lifecycle Management | - Secure compute architecture principles - Firmware, patching, and lifecycle management |
| Solution Design and Integration | - Storage and networking integration considerations - High availability and scalability design |
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NEW QUESTION # 75
Which HPE Private Cloud AI configuration is designed for early development and prototyping use cases?
Answer: D
Explanation:
The HPE Private Cloud AI Developer System is the entry configuration intended for early development, experimentation, and prototyping before moving to small, medium, or large production-oriented configurations.
NEW QUESTION # 76
A customer wants to understand more about how HPE AI Essentials secures communications between pods running on HPE AI Essentials.
Which correctly describes how these pods authenticate each other when establishing TLS communications?
Answer: C
Explanation:
HPE AI Essentials uses SPIRE/SPIFFE identities for workload authentication. Pods obtain SVIDs from the built-in SPIRE server, which are then used to establish authenticated TLS communication between workloads.
NEW QUESTION # 77
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: B
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 # 78
A customer needs a single-system-image platform with 16 sockets and multiple terabytes of shared memory for an SAP HANA scale-up deployment.
What should you recommend?
Answer: A
Explanation:
HPE Compute Scale-up Server 3200 provides hard-partitionable, modular scale-up architecture with a single system image across many sockets and multi-terabyte shared memory, which is required for large scale-up in-memory databases. Clustering discrete servers does not create a single memory image.
NEW QUESTION # 79
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: B
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 # 80
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