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| Section | Objectives |
|---|---|
| Kubernetes and MLOps Platforms | - AI and MLOps Services
|
| Design and Implement HPE Private Cloud AI Solutions | - HPE Private Cloud AI Architecture
|
| HPC and High-Performance Infrastructure | - HPC Storage and Management
|
| Operations, Security, and Troubleshooting | - Monitoring and Management
|
| Compute and Virtualization Solutions | - HPE Compute Platforms
|
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NEW QUESTION # 32
A customer is running SUSE Rancher on HPE ProLiant DL servers and HPE Alletra arrays.
How should you install the HPE CSI Driver for Kubernetes?
Answer: A
Explanation:
C is correct after updating the terminology to the current SUSE Rancher interface: use Rancher Apps & Marketplace and the official Partner repository/catalog entry to install the HPE CSI Driver for Kubernetes.
HPE publishes the CSI integration so that Rancher administrators can deploy it through the native application- management workflow, which handles the Helm-based installation and ongoing configuration in a form consistent with Rancher operations.
Option A is technically possible in generic Kubernetes environments because HPE provides Helm deployment methods, but the scenario specifically asks how to install the driver in SUSE Rancher. The integrated Rancher catalog workflow is the preferred answer. Option B is incorrect because an Ansible playbook is not the standard driver installation path. Option D references a Data Ops Manager plug-in that is not required to deploy the CSI driver.
The original wording "SUSE Rancher Operators catalog" is outdated/inexact; current Rancher releases expose this through Apps & Marketplace/Partner repositories. The underlying concept remains the same: use the supported Rancher-integrated package rather than building a separate deployment mechanism.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 8 "HPE integrations with third- party container platforms"; HPE Storage Container Orchestrator documentation, SUSE Rancher deployment of the HPE CSI Driver.
NEW QUESTION # 33
An HPE Private Cloud AI customer wants to eliminate the certificate errors that show when users access HPE AI Essentials. The customer has created a certificate signed by their CA to replace the current certificate. The customer has given you the certificate file, private key file, and CA certificate file.
How should you install this certificate?
Answer: B
Explanation:
D is correct for a customer-supplied, already-issued certificate. HPE AI Essentials presents its external TLS identity through the Istio ingress gateway, and the relevant certificate material is held in the ingress-cert secret in the istio-system namespace. When performing the manual replacement workflow, the administrator replaces the existing ingress certificate secret with one populated from the supplied certificate, private key, and CA chain according to HPE's documented format.
Option A is incorrect because the certificate is not installed on a single UI virtual machine; HPE AI Essentials is a Kubernetes-based platform and ingress TLS is handled at the cluster ingress layer. Option B confuses certificate issuance with certificate installation. A ClusterIssuer is appropriate when cert-manager should request and renew a certificate, but the customer has already supplied the signed certificate and key. Option C incorrectly places TLS management in Keycloak.
Rev. 26.21 updated the certificate procedures for HPE AI Essentials 1.9 and later, so administrators should follow the version-specific HPE commands and secret format rather than an older generic Kubernetes recipe.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 3 "Replacing the Istio ingress gateway certificate"; HPE AI Essentials documentation, manual certificate replacement and ingress-cert access.
NEW QUESTION # 34
A customer is running SUSE Rancher on HPE ProLiant DL servers and HPE Alletra arrays. How should you install the HPE CSI Driver for Kubernetes?
Answer: D
Explanation:
For SUSE Rancher, the HPE CSI Driver is delivered as a Rancher partner app/chart in the official Partner repository and is installed through Rancher Apps/Charts rather than by manually downloading Helm charts or using Ansible.
NEW QUESTION # 35
How do workloads running within HPE AI Essentials authenticate each other?
Answer: C
Explanation:
HPE AI Essentials uses service-mesh workload identity: workloads authenticate with SPIFFE/SPIRE-issued SVIDs, used through Istio proxies for secure service-to-service communication. It is not based on ingress-gateway certificates or static self-signed certificates.
NEW QUESTION # 36
You are planning to demonstrate how you can use KServe to run NIMs on HPE Private Cloud AI. You have downloaded the CodeLlama-70B-Instruct model to a volume in your namespace named demo-model.
The objects that you are planning to deploy are shown below:
What change should you make to the objects?
Answer: D
Explanation:
D is correct after correcting the YAML location to spec.predictor.model.storageUri. The ServingRuntime describes the runtime container capable of serving the model; the InferenceService describes the particular model instance to deploy. Because the CodeLlama model files already reside on a persistent volume claim named demo-model, the InferenceService must tell KServe where those model artifacts are stored. A PVC URI is therefore supplied through the model's storageUri field, for example pvc://demo-model.
Option A is structurally wrong because modelFormat.name identifies the model format understood by the ServingRuntime; it is not a storage location. Option B incorrectly assigns model storage to the ServingRuntime specification. Option C changes the NIM cache directory inside the container but does not tell KServe to mount and initialize the requested model from the PVC. KServe's v1beta1 schema places storageUri alongside modelFormat and runtime under the predictor's model block.
This distinction is fundamental to reusable KServe design: a runtime can serve multiple compatible models, while each InferenceService supplies the model-specific location and deployment parameters.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 5 "Other options for serving models on HPE Private Cloud AI"; HPE AI Essentials KServe documentation; KServe InferenceService v1beta1 schema.
NEW QUESTION # 37
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