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HP HPE7-S01 Exam Syllabus Topics:

HP Advanced HPE Compute Architect Solutions Written Sample Questions:

1. An architect is designing a virtualization platform and must justify why storage is deployed as HPE Alletra Storage MP rather than local server disks.
Which benefit is the strongest justification?

A) Non-disruptive scaling of capacity and performance independently of compute
B) Elimination of the need for a storage fabric
C) Higher single-server IOPS than NVMe direct-attached storage
D) Lower acquisition cost per usable terabyte

2. You are setting up a demonstration of HPE Private Cloud AI. You will show how easy it is to deploy a NIM with HPE Machine Learning Inference Software. As part of the demonstration, you worked with a developer to create a simple web application that sends queries to this NIM.
What is one important thing to keep in mind about your plan?

A) You must set up a storageclass that references HPE GreenLake for File Storage in advance to ensure that the deployment proceeds correctly.
B) You will need to set up the application to include an API token, associated with the deployment, in the headers of requests.
C) You must establish a private NGC registry and collect its credentials to prepare for defining the source in HPE Machine Learning Inference Software.
D) You must develop an API that understands the application's queries and incorporates those in the NIM as a custom image.

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) Replicate the built-in Airflow framework to the namespace of each user with an existing GitHub repo.
B) Set up one Github repo, to which they will refer the Airflow framework, with the existing GitHub repos added as submodules.
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. What is one important security consideration for AI workloads?

A) Using custom container images for AI inferencing and training
B) Redacting personally identifiable information from training datasets
C) Using a secure enclave processor to handle AI inferencing workloads
D) Deploying Istio to clients to regulate access to LLMs

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

Solutions: