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HP HPE7-S01 Exam Syllabus Topics:

HP Advanced HPE Compute Architect Solutions Written Sample Questions:

1. An HPE Private Cloud AI administrator is running multiple AI workloads and needs insight into which workloads are using resources.
Which HPE Private Cloud AI feature helps to deliver this visibility?

A) AI optimized nodes' iLO interfaces
B) HPE GreenLake Cloud AI Insights
C) HPE Private Cloud AI system view
D) HPE AI Essentials GPU control panel

2. A customer runs a transactional database with a write-intensive I/O profile on twelve SAS SSDs attached to an HPE MR controller and requires fault tolerance with minimal write penalty.
Which RAID level should you recommend?

A) RAID 6
B) RAID 50
C) RAID 10
D) RAID 5

3. A potential HPE Private Cloud AI customer has data stored in several locations. These include a Cassandra database, a Hive data warehouse, and a data lakehouse on S3 object storage.
Which correctly describes the HPE Private Cloud AI's ability to query data across these sources?

A) It can run queries across all three data sources.
B) It can run queries on the Cassandra database and the Hive data warehouse but not on the data lakehouse.
C) It can run queries on each of these data sources, but it can only query one data source at a time.
D) It can run queries on the data lakehouse but not on the Cassandra database and Hive data warehouse.

4. You are demonstrating HPE Private Cloud AI. The customer asks how the system handles multiple users running concurrent workloads with different priorities.
Which feature would you highlight to explain how this is managed?

A) The HPE AI Essentials scheduler plug-in
B) The built-in StorageClass and CSI driver
C) The MLflow dashboard built into HPE AI Essentials
D) The solution's Kubeflow pipeline architecture

5. A customer has developed a custom NIM which they store in their NGC Private Registry. The customer would like to use that NIM in inferencing workloads running on HPE Private Cloud AI.
What should you recommend?

A) Downloading the custom NIM to individual users' models-pvc and manually creating KServe endpoints to deploy the NIM
B) Using Ray Serve with custom-built deployments based on the custom NIM image
C) Finding and importing NVIDIA AI blueprint that supports the custom NIM
D) Using MLIS with an NGC registry that points to the customer's private registry

Solutions: