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| Section | Objectives |
|---|---|
| Topic 1: HPC and High-Performance Infrastructure | - HPC Networking
|
| Topic 2: Operations, Security, and Troubleshooting | - Identity and Access Management
|
| Topic 3: Design and Implement HPE Private Cloud AI Solutions | - AI Infrastructure Integration
|
| Topic 4: Compute and Virtualization Solutions | - HPE Compute Platforms
|
| Topic 5: Kubernetes and MLOps Platforms | - AI and MLOps Services
|
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NEW QUESTION # 31
A customer's security policy mandates that only digitally signed and verified firmware can run at every boot stage, forming a "chain of trust." Which combination of HPE Gen11 features together deliver this?
Answer: A
Explanation:
A verified chain of trust is built from Silicon Root of Trust (hardware-anchored firmware validation), UEFI Secure Boot (validates OS bootloader/kernel signatures), and TPM (secures cryptographic keys and measurements). Federation and Active Health System support fleet management and telemetry, not the trust chain; Smart Storage Administrator/RAID address storage configuration; OneView/Profiles address lifecycle configuration.
NEW QUESTION # 32
Which of the following best describes the function of HPE Active Health System (AHS) on ProLiant Gen11 servers?
Answer: B
Explanation:
Active Health System continuously logs system health, configuration, and diagnostic data (viewable via AHS Viewer or shared with HPE support) to help diagnose problems and support proactive/predictive maintenance. It does not perform RAID rebuilds, does not auto-apply firmware without approval, and is unrelated to iLO licensing.
NEW QUESTION # 33
A customer has HPE ProLiant DL Gen12 servers managed by HPE Compute Ops Management and acting as VMware vSphere ESXi hosts. How can you handle updating the servers' firmware and OS together?
Answer: D
NEW QUESTION # 34
HPE Private Cloud AI Users want to run interactive Spark applications from notebook servers running on HPE AI Essentials.
What should you do?
Answer: D
Explanation:
B is correct. Livy provides a REST-based service for creating and managing interactive Apache Spark sessions. In HPE AI Essentials, notebook users who need interactive Spark execution rely on Livy so that notebook-side Spark magic or client commands can submit code to a managed Spark session without embedding a full Spark cluster process inside the notebook itself. Therefore the administrator should ensure Livy is installed and available through the platform's Tools & Frameworks administration.
Option A is unnecessary because the platform can provide the supported notebook-to-Spark integration once Livy is present; simply building a custom image does not establish the backend session service. Option C assumes that an image name creates Spark connectivity, which it does not. Option D confuses the Spark Operator, used for Kubernetes-managed SparkApplication resources, with the interactive session mechanism requested in the question.
The exam distinction is between batch and interactive Spark. Spark Operator is well suited to declarative Spark applications; Livy enables interactive sessions from notebooks.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 4 "Using Spark" and Kubeflow notebooks; HPE AI Essentials Software documentation for Livy and interactive Spark access.
NEW QUESTION # 35
What is one action that an HPE Private Cloud AI Administrator can perform from the Alerts view in HPE AI Essentials?
Answer: B
Explanation:
C is correct. The Alerts view in HPE AI Essentials is designed to move an administrator from a detected condition to the evidence needed for diagnosis. From an alert, the administrator can open the logs for the pod associated with that alert. That is materially different from taking a remediation action such as restarting a pod: the Alerts interface provides observability and troubleshooting context, while restart or recovery actions are performed through the appropriate Kubernetes or platform-management workflow. Alert forwarding is separately configured in the platform's observability settings rather than as a per-alert action, and HPE GreenLake does not provide an alert-correlation function from this local Alerts view.
This is an important operational distinction for the exam. HPE Private Cloud AI troubleshooting follows an evidence-first workflow: identify the alert, inspect the affected workload and its logs, and then determine the corrective action. Pod logs can expose image-pull failures, scheduling problems, resource exhaustion, application exceptions, or service communication errors without immediately changing system state.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 7 "Troubleshooting HPE Private Cloud AI," especially alerts and solution-provided tools; HPE AI Essentials Software documentation,
"Viewing Alerts and Notifications."
NEW QUESTION # 36
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