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HP HPE7-S02 Exam Syllabus Topics:

HP Advanced HPE Compute Integrator Solutions Written Sample Questions:

1. How do workloads running within HPE AI Essentials authenticate each other?

A) Using SVIDs that an Istio proxy helps them obtain from a built-in SPIRE server
B) Using Kubernetes secrets auto-generated by Kyverno mutating admission controllers when workloads spin up
C) Using self-signed certificates generated when HPE installs the solution
D) Using certificates issued by the Istio ingress gateway built into HPE AI Essentials

2. 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?

A) Creating a ClusterIssuer object in HPE AI Essentials cert-manager namespace
B) Creating an authorization policy in HPE AI Essentials cert-manager namespace
C) Creating a secret in HPE AI Essentials istio-system namespace that includes a certificate, private key, and CA certificate
D) Creating an ingress gateway in HPE AI Essentials istio-system namespace

3. How do workloads running within HPE AI Essentials authenticate each other?

A) Using SVIDs that an Istio proxy helps them obtain from a built-in SPIRE server
B) Using Kubernetes secrets auto-generated by Kyverno mutating admission controllers when workloads spin up
C) Using self-signed certificates generated when HPE installs the solution
D) Using certificates issued by the Istio ingress gateway built into HPE AI Essentials

4. A customer has fine-tuned a model and wants to find out whether the model is producing any toxic content.
Which NVIDIA microservice best meets this need?

A) NeMo Curator
B) NeMo Evaluator
C) NeMo Guardrails
D) NeMo Customizer

5. 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?

A) Add this line to the InferenceService under spec.predictor.model: storageUri: pvc://demo-model
B) In the InferenceService, change spec.predictor.model.modelFormat.name to: pvc://demo-model
/codellama-70b-instruct
C) Add this line to the ServingRuntime under spec: storageUri: pvc://demo-model
D) In the ServingRuntime, change the NIM_CACHE_PATH environment variable value to "/mnt/demo- model"

Solutions: