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| Section | Weight | Objectives |
|---|---|---|
| HPE ProLiant Gen12 for AI | 20% | - GPU integration and configuration - Server architecture and components - 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 |
| Solution Optimization and Security | 5% | - Security best practices - Efficiency and resilience |
| HPE AI Essentials: Data Analytics and Data Science | 15% | - Data pipelines and processing - Analytics and machine learning tools |
| AI Workshops and HPE AI Essentials Platform | 15% | - Platform capabilities and deployment - Customer engagement and assessment |
| Integration with Third-Party Platforms | 15% | - Red Hat OpenShift and Kubernetes integration - VMware integration |
| High Performance Computing (HPC) Design and Management | 10% | - Architecture and scaling - Management and monitoring |
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NEW QUESTION # 44
HPE Private Cloud AI Users want to run interactive Spark applications from notebook servers running on HPE AI Essentials. What should you do?
Answer: C
Explanation:
Interactive Spark sessions from notebooks use Livy; HPE AI Essentials Spark magic commands connect to the Livy server to start and manage Spark sessions. Spark Operator is for Spark Applications, not interactive notebook sessions.
NEW QUESTION # 45
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 # 46
Which correctly characterizes HPE ProLiant Compute XD685 servers?
Answer: C
Explanation:
B is correct. HPE ProLiant Compute XD685 is a purpose-built accelerated system for large AI training and tuning workloads. Current HPE configurations support eight NVIDIA Blackwell-family GPUs, including B200 and Blackwell Ultra options, in a dense direct-liquid-cooled 5U chassis. The platform also uses HPE Integrated Lights-Out (iLO) for secure server-level management, giving it the familiar HPE management and security foundation expected in enterprise deployments.
Option A is incorrect in processor count, GPU generation, and management characterization. The XD685 is not a four-processor/four-GPU Lovelace design with a choice between unrelated management controllers.
Option C describes a multi-node scale-out chassis architecture that does not match the XD685; the 5U system is a single accelerated server platform with eight GPUs. Option D similarly invents an eight-processor, 8 TB scale-up design.
The exam objective is not merely to memorize a model name. The XD685 is positioned where workload requirements demand very high GPU density, large-model training capability, fast accelerator interconnects, and enterprise serviceability.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 1 "HPE solutions for AI"; HPE ProLiant Compute XD685 product specifications and current HPE Blackwell platform materials.
NEW QUESTION # 47
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: D
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 # 48
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: D
Explanation:
In HPE AI Essentials, Airflow is the framework used to create, view, and run DAG-based workflows. MLflow tracks experiments, and Ray is for distributed compute/tuning.
NEW QUESTION # 49
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