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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 customer wants to archive Prometheus metrics collected on the solution.
What should you recommend?

A) Install the Grafana framework on HPE Private Cloud AI and set up Prometheus as a data source.
B) Configure the Prometheus framework and enlarge the kubeprom-operator volume to at least
100G.
C) Set up an external OpenTelemetry (OTel) endpoint and register it in HPE AI Essentials.
D) Change the PV in the Prometheus namespace to use Retain mode.

2. An organization is planning to run AI inferencing for customer service. The organization has strict environmental efficiency standards. They have facility water access at the rack.
Which server configuration should you recommend?

A) HPE ProLiant DL360 Gen12 with closed-loop liquid cooling
B) HPE ProLiant DL580 Gen 12 with liquid-to-air rear-door cooling
C) HPE ProLiant DL380 Gen12 with high-performance heat sinks
D) HPE ProLiant DL380a Gen12 with 70% DLC

3. 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) Integrate the MinIO object store with the SSO and authorization framework provided by HPE Private Cloud AI's Keycloak.
B) Set up an HPE AI Essentials data source to the MinIO object store.
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.

4. A customer needs to replace their ESXi servers, so you propose HPE ProLiant DL servers. The customer requires TPM attestation.
What should you recommend?

A) Using the OneView for vCenter plug-in to deploy the ESXi OS images to the servers
B) Using the servers' UEFI Secure Boot mode
C) Purchasing servers with the trusted supply chain option
D) Replacing the servers' default TPM certificates with a certificate signed by a private CA

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

Solutions: