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| Section | Objectives |
|---|---|
| Troubleshooting and Support | - Performance monitoring and diagnostics - Hardware and firmware troubleshooting |
| HPE Compute Architecture and Solutions | - HPE ProLiant server families overview - Compute solution positioning and use cases |
| Storage and Networking Integration | - Networking configuration and connectivity options - SAN and direct-attached storage integration |
| Solution Design and Implementation | - Workload sizing and architecture planning - High availability and redundancy design |
| Server Deployment and Configuration | - Initial setup and provisioning - Firmware and system configuration tools (iLO, SPP) |
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NEW QUESTION # 64
What option does HPE Private Cloud AI provide for organizations who want to retain Prometheus metrics over the long term?
Answer: C
Explanation:
HPE Private Cloud AI can export observability data to an external OpenTelemetry endpoint, allowing organizations to retain Prometheus metrics long term outside the default in-cluster retention period.
NEW QUESTION # 65
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 # 66
You need to connect several existing HPE Cray XD servers to a new HPE Slingshot network featuring HPE Slingshot ToR switches. The servers have existing 200 Gbps Ethernet NICs. What is required?
Answer: A
Explanation:
HPE Slingshot can work with select qualified 100/200 GbE Ethernet adapters, not only HPE Slingshot NICs. Therefore, the existing 200 GbE NICs do not automatically need replacement, but they must be verified as qualified for the Slingshot ToR switch.
NEW QUESTION # 67
Which benefit does HPE Rear Door Heat Exchanger (RDHX) provide?
Answer: B
Explanation:
A is correct. An HPE Rear Door Heat Exchanger is a liquid-to-air heat-removal solution mounted at the rear of the rack. Server exhaust air passes through the heat exchanger, where heat is transferred into the facility liquid loop before the air returns to the room. By removing a substantial portion of the rack's heat load locally, an RDHX can reduce the burden on room-level air-conditioning infrastructure and therefore lower cooling energy consumption.
Option B is incorrect because an RDHX does not change the thermal operating limits of the servers; hardware still must remain within its specified inlet-temperature and environmental ranges. Option C is contradictory:
liquid heat exchange requires an appropriate facility water or coolant connection at or near the rack. Option D is also false. Servers still require their designed heat sinks, fans, airflow paths, and component-level thermal controls; the rear-door exchanger handles exhaust heat rather than replacing internal cooling components.
For high-density AI and HPC systems, cooling architecture is part of workload design because accelerator power density can become a rack and facility constraint.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 1 "Liquid cooling options with HPE ProLiant Compute Gen12"; HPE rear-door heat-exchanger and data-center cooling documentation.
NEW QUESTION # 68
An HPE Private Cloud AI Administrator has imported a custom framework. Users can click the framework's endpoint link and access the framework successfully. However, sometimes users will try to go to the framework's page and they get an error.
What is one thing to investigate?
Answer: D
Explanation:
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 3 imported-framework communications and troubleshooting; HPE7-S02 Release Notes, June 15, 2026, framework-import updates and automatic Keycloak redirect URL handling.
NEW QUESTION # 69
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