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HP HPE7-S01 Exam Syllabus Topics:

HP Advanced HPE Compute Architect Solutions Written Sample Questions:

1. Which component, included in HPE Private Cloud AI, can customers use to automate a data pipeline, based on a series of Spark Applications?

A) Ray
B) HPE Machine Learning Inference Software
C) Airflow
D) MLflow

2. Company TXXX is working on autonomous vehicle simulation and needs a system optimized for high-throughput training of generative AI models. The customer already uses HPE iLO to manage other servers and would like to continue with that option.
Which HPE server model aligns with these goals?

A) HPE Cray XD670
B) HPE ProLiant Compute XD685
C) HPE Cray XD2000
D) HPE ProLiant DL580 Gen12

3. You are demonstrating HPE Private Cloud AI and HPE Machine Learning Inference Software to a customer. The customer says that the organization has a custom model, stored in an OpenLLM hub, which they would like to deploy with HPE Machine Learning Inference Software.
What should you explain?

A) HPE Machine Learning Inference Software supports pulling this model from the hub and deploying it.
B) While HPE Machine Learning Inference Software does not support deploying custom models, KServe, also provided by HPE Private Cloud AI, does.
C) While HPE Machine Learning Inference Software does not support deploying custom models, Ray Serve, also provided by HPE Private Cloud AI, does.
D) HPE Machine Learning Inference Software can deploy this model if the customer packages it with Bento Archive and saves it to a PVC in HPE Private Cloud AI.

4. You are discussing HPE Private Cloud AI with a customer. The customer states that they need an easier way to visualize their analyses of data across multiple types of databases, such as SQL Server and MongoDB.
What should you explain?

A) The customer can add these databases as data sources in HPE AI Essentials. Users can then reference those sources in Knowledge Bases to run AI-based analytics and visualizations on them.
B) The customer can integrate databases as data volumes on HPE AI Essentials. The customer can then use Notebook servers included with HPE AI Essentials to browse and query the data.
C) The customer can synchronize these databases with GreenLake for File Storage, which is included as part of the Private Cloud AI solution. The customer can then use AI built into that solution to enrich the data with metadata and analyze it.
D) The customer can add these databases as data sources in HPE AI Essentials and then use that platform's built in Superset and EzPresto frameworks to visualize the data.

5. An HPE Private Cloud AI customer wants to archive Prometheus metrics collected on the solution.
What should you recommend?

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

Solutions: