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HP HPE7-S01 Exam Syllabus Topics:

HP Advanced HPE Compute Architect Solutions Written Sample Questions:

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

2. A customer must encrypt OS volumes using BitLocker with hardware-backed key protection on new ProLiant Gen11 servers.
What must be present?

A) iLO Advanced Premium Security Edition
B) A TPM 2.0 module enabled in UEFI mode
C) A Smart Array controller with a Secure Encryption license
D) Self-encrypting drives with a local key manager

3. An HPE Synergy customer wants compute modules to boot a bare-metal OS image with no OS installed on local disks, so that hardware can be repurposed within minutes.
Which component provides this capability?

A) HPE Intelligent Provisioning
B) HPE Image Streamer
C) HPE OneView Global Dashboard
D) HPE Synergy Composer

4. A financial services customer runs a market data application that is extremely sensitive to jitter and response time, not throughput.
Which UEFI workload profile should you recommend?

A) Virtualization - Max Performance
B) Low Latency
C) General Peak Frequency Compute
D) Graphic Processing

5. A customer plans to use Ray with HPE Private Cloud AI and wants to know more about the framework's integration with the solution's GPUs.
What should you explain?

A) The solution's Kuberay cluster supports GPUs by default and can autoscale up to the maximum number of GPUs in the solution.
B) The solution's default Kuberay cluster does not support GPU workers, but the customer can deploy an additional Kuberay cluster that does.
C) The solution's Kuberay cluster supports GPUs by default and can autoscale up to the maximum number of GPUs on a single AI-optimized node.
D) The solution's Kuberay cluster has a GPU worker, and AI administrators can define the number of GPUs for that worker.

Solutions: