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| Section | Weight | Objectives |
|---|---|---|
| Integration with Third-Party Platforms | 15% | - VMware integration - Red Hat OpenShift and Kubernetes integration |
| NVIDIA AI Enterprise and Model Serving | 10% | - Model serving architecture and optimization - Software deployment and management |
| High Performance Computing (HPC) Design and Management | 10% | - Architecture and scaling - Management and monitoring |
| AI Workshops and HPE AI Essentials Platform | 15% | - Platform capabilities and deployment - Customer engagement and assessment |
| HPE AI Essentials: Data Analytics and Data Science | 15% | - Data pipelines and processing - Analytics and machine learning tools |
| Troubleshooting HPE Private Cloud AI | 10% | - Issue diagnosis and resolution - Performance tuning and optimization |
| Solution Optimization and Security | 5% | - Efficiency and resilience - Security best practices |
| HPE ProLiant Gen12 for AI | 20% | - Server architecture and components - AI-optimized compute design - GPU integration and configuration |
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NEW QUESTION # 15
Which correctly describes an aspect of the AI software stack for HPE Cray XD systems?
Answer: D
Explanation:
HPE Cray XD systems use standard server management based on Redfish and run a Linux- based HPC/AI software stack. HPE Performance Cluster Manager is for cluster provisioning/management, not the AI development environment.
NEW QUESTION # 16
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: B
Explanation:
If the framework endpoint works sometimes but errors during access/authentication, a likely cause is an OAuth/OIDC redirect mismatch. For imported applications, HPE requires updating Keycloak's allowed callback/redirect URLs for the application.
NEW QUESTION # 17
An HPE Private Cloud AI customer wants to replace the self-signed certificate that users see when they access HPE AI Essentials.
The customer wants to reduce maintenance efforts by having the solution auto-renew the certificate.
What is part of the implementation process?
Answer: A
Explanation:
A is correct. When the objective is automated renewal of the HPE AI Essentials ingress certificate, cert- manager should control the certificate lifecycle. A ClusterIssuer is part of that implementation because it defines the certificate-authority or ACME issuing service that cert-manager can use cluster-wide. Once the issuer and the corresponding Certificate resource are configured correctly, cert-manager can request, replace, and renew the certificate rather than requiring repeated manual secret replacement.
Option C describes a manually supplied secret containing certificate material. That can be appropriate when an organization already has a certificate and wants to install it manually, but by itself it does not provide automated renewal. An AuthorizationPolicy controls traffic authorization, not certificate issuance, so B is unrelated. The Istio ingress gateway already exists as part of HPE AI Essentials; creating another gateway is not the required certificate-renewal step.
Rev. 26.21 specifically updates certificate material for HPE AI Essentials 1.9 and later, making it important to distinguish automated cert-manager workflows from manual ingress-cert replacement.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 3 "Replacing the Istio ingress gateway certificate"; HPE AI Essentials documentation, "Using cert-manager to Generate and Replace SSL Certificate."
NEW QUESTION # 18
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 # 19
You are deploying several HPE ProLiant DL Gen12 servers to act as ESXi hosts. How can you help to ensure the servers pass TPM attestation?
Answer: D
Explanation:
VMware TPM attestation validates the ESXi host's measured boot/secure boot state. Enabling UEFI Secure Boot helps ensure the host can pass TPM attestation; SED encryption, TAA compliance, and iLO Service Port are unrelated.
NEW QUESTION # 20
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