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| Section | Weight | Objectives |
|---|---|---|
| High Performance Computing (HPC) Design and Management | 10% | - Management and monitoring - Architecture and scaling |
| Solution Optimization and Security | 5% | - Efficiency and resilience - Security best practices |
| 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 - GPU integration and configuration - AI-optimized compute design |
| Troubleshooting HPE Private Cloud AI | 10% | - Performance tuning and optimization - Issue diagnosis and resolution |
| NVIDIA AI Enterprise and Model Serving | 10% | - Software deployment and management - Model serving architecture and optimization |
| Integration with Third-Party Platforms | 15% | - VMware integration - Red Hat OpenShift and Kubernetes integration |
| AI Workshops and HPE AI Essentials Platform | 15% | - Customer engagement and assessment - Platform capabilities and deployment |
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NEW QUESTION # 71
What is one innovation in NVIDIA Blackwell GPUs?
Answer: B
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 # 72
Which HPE Smart Array controller feature allows administrators to configure RAID and volumes before the operating system is installed, using a UEFI-based utility?
Answer: C
Explanation:
HPE Smart Storage Administrator, accessible from the UEFI System Utilities (F9/F10 during boot), allows pre-OS RAID and logical drive configuration. The legacy ACU CLI is an offline/scripting tool, Insight Diagnostics is for hardware testing, and Virtual Media is used to mount ISO images remotely, not to configure storage.
NEW QUESTION # 73
What is one way that HPE minimizes costs for the HPE Private Cloud AI Developer System?
Answer: C
Explanation:
The Developer System is the lower-cost HPE Private Cloud AI configuration and includes integrated internal file/object storage, avoiding the need for a separate external storage system.
HPE lists the Developer System with 22 TB Internal File/Object storage.
NEW QUESTION # 74
You are demonstrating HPE AI Essentials to a customer. You want to show running a DAG (workflow).
Which framework or page should you access?
Answer: C
Explanation:
D is correct. Airflow is the HPE AI Essentials framework used to define, schedule, and execute directed acyclic graphs. A DAG expresses a workflow as tasks plus dependencies, so the Airflow interface is the appropriate place to demonstrate launching and monitoring a workflow. The UI exposes DAG state, task instances, execution history, schedules, and operational details that make the orchestration behavior visible during a customer demonstration.
NVIDIA AI Enterprise is the broader enterprise AI software suite and includes components such as NIM and NeMo, but it is not the HPE AI Essentials DAG scheduler. MLflow is used for experiment tracking and model lifecycle activities. Ray is a distributed computing framework used for scalable Python and AI workloads; it does not provide the Airflow DAG-management interface requested here.
A useful demonstration can show both control and observability: trigger a DAG, inspect task dependency order, observe task status, and review logs or retries. That makes the distinction between workflow orchestration and the underlying execution frameworks clear.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 4 "Airflow" and the objective
"Demonstrate HPE AI Essentials"; HPE AI Essentials Software Airflow documentation.
NEW QUESTION # 75
How do workloads running within HPE AI Essentials authenticate each other?
Answer: A
Explanation:
B is correct. HPE AI Essentials uses service identities based on SPIFFE concepts. Workloads receive SPIFFE Verifiable Identity Documents (SVIDs) from the platform's SPIRE infrastructure, and the Istio service mesh uses those identities to establish authenticated service-to-service communication. This gives workloads cryptographically verifiable identities that are independent of network location and supports mutual authentication between services inside the platform.
Option A incorrectly attributes workload identity to the Istio ingress gateway. The ingress gateway handles north-south access, but it is not the certificate authority that independently issues identities to every internal workload. Option C describes Kubernetes secrets generated by Kyverno, which is not the HPE AI Essentials workload-authentication architecture. Option D is too generic; static self-signed certificates created at installation would not provide the dynamic, workload-specific identity and rotation model that SPIRE supplies.
For integrators, the important design point is that the platform treats workload identity as a first-class security control. Istio provides the service-mesh enforcement and mTLS capabilities, while SPIRE supplies trusted identities used by workloads and proxies.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 3 "Understanding and managing communications"; HPE Private Cloud AI/HPE AI Essentials core-concepts documentation for Istio, SPIRE, and service identity.
NEW QUESTION # 76
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