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| Section | Weight | Objectives |
|---|---|---|
| High Performance Computing (HPC) Design and Management | 10% | - Architecture and scaling - Management and monitoring |
| Solution Optimization and Security | 5% | - Security best practices - Efficiency and resilience |
| Troubleshooting HPE Private Cloud AI | 10% | - Performance tuning and optimization - Issue diagnosis and resolution |
| HPE AI Essentials: Data Analytics and Data Science | 15% | - Data pipelines and processing - Analytics and machine learning tools |
| HPE ProLiant Gen12 for AI | 20% | - Server architecture and components - AI-optimized compute design - GPU integration and configuration |
| Integration with Third-Party Platforms | 15% | - Red Hat OpenShift and Kubernetes integration - VMware integration |
| AI Workshops and HPE AI Essentials Platform | 15% | - Platform capabilities and deployment - Customer engagement and assessment |
| NVIDIA AI Enterprise and Model Serving | 10% | - Software deployment and management - Model serving architecture and optimization |
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NEW QUESTION # 24
An HPE Private Cloud AI customer wants to import a custom framework. The customer wants to ensure that only authorized users access that framework's endpoint URL You have created an authorization policy for this purpose. In which namespace should you add the policy?
Answer: A
Explanation:
The AuthorizationPolicy for securing the imported framework endpoint is applied to the Istio ingress gateway, so it belongs in the istio-system namespace, not the framework's own namespace or the user namespace. HPE examples set authorizationPolicy.namespace to istio- system.
NEW QUESTION # 25
What is one innovation in NVIDIA Blackwell GPUs?
Answer: D
Explanation:
NVIDIA Blackwell introduces a second-generation Transformer Engine with support for lower- precision AI formats such as FP4, improving LLM training and inference efficiency. The option likely says "Transformation Engine" but is referring to the Transformer Engine.
NEW QUESTION # 26
What option does HPE Private Cloud AI provide for organizations who want to retain Prometheus metrics over the long term?
Answer: A
Explanation:
D is correct. HPE Private Cloud AI can export observability data through an OpenTelemetry (OTel) endpoint.
HPE AI Essentials retains Prometheus metrics for a defined local retention period, but organizations that require longer retention can register an OTel endpoint and send the telemetry to an external observability or storage platform with the retention policy they require. This decouples operational history from the local Prometheus retention window.
Option A does not describe the supported long-term metrics export mechanism. Option B would merely add another visualization component and would not solve durable metric retention; Grafana reads metrics but is not itself the long-term time-series store. Option C concerns alert output, which is a subset of operational events and cannot substitute for retained Prometheus time-series data.
This design is operationally important for capacity analysis, incident review, compliance evidence, and trend detection. The platform remains responsible for producing metrics, while the external OTel destination provides enterprise-scale storage and analytics.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Modules 3 and 7, monitoring and troubleshooting; HPE AI Essentials Software documentation, "Configuring Endpoints," which describes OTel export for long-term metric storage.
NEW QUESTION # 27
At the request of an HPE Private Cloud AI customer, you have added an AWS S3 object store to HPE AI Essentials. Several HPE Private Cloud AI Users should be able to access that source when running notebooks and Spark applications. Other users should have no access.
What should you do?
Answer: A
Explanation:
A is correct. HPE AI Essentials provides platform-level identity and access management for connected data sources. After the S3 object store is configured, an administrator can use the Identity and Access Management interface to grant the required users privileges to that object-store data source. This gives the selected users access from supported tools such as notebooks and Spark applications while leaving other users without permission.
The HPE GreenLake cloud user-management page controls broader workspace or service access, but it is not the place to assign the fine-grained HPE AI Essentials data-source privilege described in this scenario.
Embedding user lists directly in the object-store connection settings is not the documented access-control workflow. Creating credential secrets manually in every user namespace is also the wrong pattern: it duplicates sensitive credentials, increases rotation overhead, and bypasses the platform's centralized authorization model.
The operational principle is separation of connection configuration from authorization. The platform stores the data-source integration, while Identity and Access Management determines who may use it. That model is more auditable and maintainable than distributing access keys.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 4 "Connecting to data"; HPE AI Essentials Software documentation, Identity and Access Management and user access to data.
NEW QUESTION # 28
A customer uses HPE Synergy servers as VMware ESXi hosts, assigned to clusters.
What is one action that is enabled by your importing the ESXi clusters in HPE OneView for vCenter?
Answer: D
Explanation:
A is correct. Importing a VMware ESXi cluster into HPE OneView for VMware vCenter enables health integration between HPE infrastructure management and vCenter. One of the most valuable outcomes is VMware Proactive HA support: when HPE hardware health information indicates a degrading host, vSphere can place that host into a remediation state and migrate virtual machines away before the condition becomes a service-impacting failure. This aligns infrastructure telemetry with workload mobility.
Option B concerns disk-group and vSAN capacity configuration, which is not the specific capability created by simply importing the cluster. Option C describes SAN datastore provisioning and is a storage-management task rather than the distinctive cluster-health action in this scenario. Option D resembles functionality formerly associated with orchestration products; current HPE material also removes references to the end-of- life HPE OneView for vRealize Orchestrator.
For an integrator, the architectural value is that HPE hardware awareness becomes actionable inside the virtualization control plane. Administrators can protect application availability without waiting for a complete server outage.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 8, HPE integrations with VMware; HPE OneView for VMware vCenter documentation, VMware Proactive HA integration.
NEW QUESTION # 29
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