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HP HPE7-S01 Exam Syllabus Topics:

HP Advanced HPE Compute Architect Solutions Written Sample Questions:

1. A retail customer has 400 ProLiant DL servers distributed across store locations with no local IT staff and no management appliance on site.
Which HPE solution should you recommend for firmware lifecycle management?

A) HPE OneView deployed at the central data center
B) HPE Systems Insight Manager with remote agents
C) iLO Federation with a designated group leader per store
D) HPE Compute Ops Management

2. A customer wants to use the Spark framework included in HPE Private Cloud AI to ingress and process data stored in an external MinIO object store. The customer wants to avoid distributing the store's access and secret keys to AI Users.
What should you advise AI administrators to do?

A) Replicate the data from the MinIO object store to a NAS store compatible with the HPE AI Essentials Data Volumes format.
B) Set up an HPE AI Essentials data source to the MinIO object store.
C) Integrate the MinIO object store with the SSO and authorization framework provided by HPE Private Cloud AI's Keycloak.
D) Create a custom spark image that is pre-integrated with the MinIO object store.

3. You are helping a customer plan to use their HPE Private Cloud AI solution securely.
What is one recommendation to make?

A) Add Kyverno policies to individual user namespaces to prevent access to other namespaces.
B) Replace the certificate on the Istio ingress gateway with a CA-signed one.
C) Add a custom realm to the default Keycloak installation.
D) Configure the SPIRE server to rotate trust bundles on a weekly basis.

4. A customer plans to implement machine learning models but has limited visibility into where business data is generated and how it is managed across departments.
During the readiness assessment, which step will best support an accurate evaluation of their AI deployment potential?

A) Recommend bypassing initial workshops to begin with a small AI pilot on anonymized data.
B) Focus the session on reviewing backup retention schedules and recovery point objectives.
C) Identify data sources, formats, ownership, and movement patterns across the organization.
D) Begin by installing a standard data lake connector and mapping legacy tables to object storage.

5. You are demonstrating HPE Private Cloud AI and HPE Machine Learning Inference Software to a customer. The customer says that the organization has a custom model, stored in an OpenLLM hub, which they would like to deploy with HPE Machine Learning Inference Software.
What should you explain?

A) HPE Machine Learning Inference Software can deploy this model if the customer packages it with Bento Archive and saves it to a PVC in HPE Private Cloud AI.
B) While HPE Machine Learning Inference Software does not support deploying custom models, KServe, also provided by HPE Private Cloud AI, does.
C) HPE Machine Learning Inference Software supports pulling this model from the hub and deploying it.
D) While HPE Machine Learning Inference Software does not support deploying custom models, Ray Serve, also provided by HPE Private Cloud AI, does.

Solutions: