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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: HPE ProLiant Gen12 for AI | 20% | - AI-optimized compute design - GPU integration and configuration - Server architecture and components |
| Topic 2: Integration with Third-Party Platforms | 15% | - VMware integration - Red Hat OpenShift and Kubernetes integration |
| Topic 3: HPE AI Essentials: Data Analytics and Data Science | 15% | - Analytics and machine learning tools - Data pipelines and processing |
| Topic 4: High Performance Computing (HPC) Design and Management | 10% | - Management and monitoring - Architecture and scaling |
| Topic 5: AI Workshops and HPE AI Essentials Platform | 15% | - Customer engagement and assessment - Platform capabilities and deployment |
| Topic 6: Troubleshooting HPE Private Cloud AI | 10% | - Performance tuning and optimization - Issue diagnosis and resolution |
| Topic 7: Solution Optimization and Security | 5% | - Efficiency and resilience - Security best practices |
| Topic 8: NVIDIA AI Enterprise and Model Serving | 10% | - Software deployment and management - Model serving architecture and optimization |
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NEW QUESTION # 53
You are deploying several HPE ProLiant DL Gen12 servers to act as ESXi hosts.
How can you help to ensure the servers pass TPM attestation?
Answer: C
Explanation:
A is correct. VMware ESXi host TPM attestation depends on a trusted measured boot chain. Enabling UEFI Secure Boot helps establish that chain by allowing the platform to verify signed boot components and by aligning the host with VMware's secure-boot and TPM attestation requirements. With a supported TPM 2.0 configuration, vCenter can evaluate host attestation status and detect changes that compromise the expected boot measurements.
Encrypting self-encrypting drives is a storage-data protection control and does not determine whether the host passes TPM boot attestation. TAA compliance concerns procurement and manufacturing requirements, not the trusted boot state. The iLO Service Port provides a local management interface and has no role in establishing the ESXi TPM measurement chain.
The configuration must be treated as a platform-security dependency, not a post-installation checkbox. UEFI mode, Secure Boot, supported TPM settings, and compatible ESXi configuration should be established before hosts are placed into the production cluster.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 8 "Designing HPE compute for VMware vSphere"; HPE ProLiant Gen12 security/UEFI documentation; VMware vSphere TPM and Secure Boot attestation guidance.
NEW QUESTION # 54
Which statement correctly describes the role of HPE GreenLake in an integrator's proposal for a customer wanting consumption-based IT?
Answer: D
Explanation:
HPE GreenLake is HPE's edge-to-cloud platform providing a cloud operating model -- consumption-based pricing, unified management, and workload-optimized solutions -- for infrastructure that remains on-premises or at the edge. It spans compute, storage, networking, and software services, and does not require migration to public cloud or elimination of on-prem hardware.
NEW QUESTION # 55
A customer wants to run GPU-accelerated AI training workloads and needs a rack-scale, high- density HPE compute platform optimized for this. Which product line should the integrator recommend?
Answer: C
Explanation:
HPE Apollo 6500 is purpose-built for dense GPU compute, supporting high numbers of GPUs per chassis for AI/ML and HPC training workloads. ProLiant ML350 is a tower server for general- purpose workloads, Edgeline targets ruggedized edge deployments, and MicroServer Gen10 Plus is an entry-level small-business server.
NEW QUESTION # 56
An HPE Private Cloud AI User wants to use KServe to run a NIM that is available in NGC.
What is one prerequisite?
Answer: A
Explanation:
D is correct. A NIM image hosted in NVIDIA NGC is protected by NVIDIA registry authentication. To allow KServe in a user namespace to pull that image, the user needs a valid NGC API key and a Kubernetes secret containing the corresponding registry credentials in the namespace where the InferenceService will run. The workload can then reference that secret for the image pull or other required NGC access.
Option A describes registering NGC with HPE Machine Learning Inference Software. That is relevant when MLIS is the serving mechanism, but the scenario explicitly uses KServe. Option B is not how NVIDIA AI Enterprise is made available to HPE AI Essentials; it is not imported as a user Helm chart. Option C is also invalid because KServe does not require special "decorators" in application code to launch a NIM.
Namespace placement matters because Kubernetes secrets are namespace-scoped. A secret created elsewhere is not automatically available to the user's KServe deployment.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 5 "Other options for serving models on HPE Private Cloud AI" and NVIDIA AI Enterprise; HPE AI Essentials KServe guidance; NVIDIA NGC authentication documentation.
NEW QUESTION # 57
You are deploying several HPE ProLiant DL Gen12 servers to act as ESXi hosts. How can you help to ensure the servers pass TPM attestation?
Answer: B
Explanation:
VMware TPM attestation validates the ESXi host's measured boot/secure boot state. Enabling UEFI Secure Boot helps ensure the host can pass TPM attestation; SED encryption, TAA compliance, and iLO Service Port are unrelated.
NEW QUESTION # 58
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