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HP HPE7-S01 Exam Syllabus Topics:

HP Advanced HPE Compute Architect Solutions Written Sample Questions:

1. 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 has a GPU worker, and AI administrators can define the number of GPUs for that worker.
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 in the solution.
D) 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.

2. A customer is interested in HPE Private Cloud AI's Data Lakehouse Gateway and needs help determining whether this gateway will work with their data lakehouse.
What is one requirement to explain?

A) The data lakehouse must provide native integration with EzPresto.
B) The data lakehouse must be hosted in AWS.
C) The data lakehouse must be deployed on S3 or NFSv4 storage.
D) The data lakehouse must use ARVO files.

3. An HPE Private Cloud AI customer needs help planning how to use Airflow within that solution.
The customer currently has several GitHub repos in which different teams store their DAGs.
What should you advise AI administrators to do?

A) Set up one Github repo, to which they will refer the Airflow framework, with the existing GitHub repos added as submodules.
B) Replicate the built-in Airflow framework to the namespace of each user with an existing GitHub repo.
C) Create a recurring Spark pipeline to copy the DAGs from each GitHub to the Shared Data Volume from which Airflow pulls the DAGs.
D) Configure the Airflow framework to reference each existing GitHub repo using individual secrets for the credentials.

4. 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) Set up an HPE AI Essentials data source to 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) Replicate the data from the MinIO object store to a NAS store compatible with the HPE AI Essentials Data Volumes format.
D) Create a custom spark image that is pre-integrated with the MinIO object store.

5. A customer plans to train large language models on premises and requires eight interconnected GPUs per node with high GPU-to-GPU bandwidth.
Which platform should you recommend?

A) HPE ProLiant DL360 Gen11 with two single-width GPUs
B) HPE ProLiant Compute XD servers
C) HPE ProLiant MicroServer with a discrete GPU
D) HPE Edgeline EL8000 with GPU mezzanine cards

Solutions: