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HP HPE7-S01 Exam Syllabus Topics:

SectionObjectives
Topic 1: Operations and Troubleshooting- Monitoring and performance optimization
- Incident resolution and capacity planning
Topic 2: HPE Compute Architecture Design- Compute infrastructure planning and sizing
- Workload analysis and requirements mapping
Topic 3: Security and Lifecycle Management- Secure compute architecture principles
- Firmware, patching, and lifecycle management
Topic 4: Solution Design and Integration- Storage and networking integration considerations
- High availability and scalability design
Topic 5: HPE Compute Solutions Portfolio- HPE ProLiant server solutions
- HPE Synergy and composable infrastructure
- HPE GreenLake compute offerings

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HP Advanced HPE Compute Architect Solutions Written Exam Sample Questions (Q64-Q69):

NEW QUESTION # 64
You want to demonstrate HPE Private Cloud AI running a complex AI application, such as a video search app, to a customer.
What is one good resource for putting together this demonstration more quickly?

Answer: D

Explanation:
NVIDIA AI Blueprints are predefined, customizable reference workflows/sample AI applications designed to accelerate building and demonstrating complex AI use cases. HPE AI Essentials specifically describes Blueprints as workflows for creating and deploying generative AI applications.
Reference:
https://support.hpe.com/hpesc/public/docDisplay?docId=sd00007592en_us&docLocale=en_US& page=GUID-7899509F-3811-4AB7-9528-DCD0A948F4FE.html


NEW QUESTION # 65
A customer is considering HPE Private Cloud AI for an AI PoC and needs to choose between a small configuration and a Developer System configuration.
What is one difference that you should explain?

Answer: C

Explanation:
HPE Private Cloud AI Developer System is a smaller PoC-oriented configuration with internal file/object storage, while the small configuration uses external HPE Alletra X10000 / GreenLake for File with Object Storage.
Reference: https://www.hpe.com/us/en/collaterals/collateral.a50009216enw.html


NEW QUESTION # 66
Which component, included in HPE Private Cloud AI, can customers use to automate a data pipeline, based on a series of Spark Applications?

Answer: A

Explanation:
Airflow is used to orchestrate and automate data pipelines as DAGs, including workflows that run a series of Spark Applications. MLIS is for inference, Ray is for distributed compute, and MLflow is for experiment/model tracking.


NEW QUESTION # 67
What is one benefit of the HPE curated images for Spark provided in HPE AI Essentials?

Answer: B

Explanation:
HPE-curated Spark images are designed to work with HPE AI Essentials data sources; for these images, users can access configured sources without manually distributing secrets, unlike generic Spark OSS images.
Reference:
https://support.hpe.com/hpesc/public/docDisplay?docId=a00aie111dhen_us&docLocale=en_US& page=Spark%2Fcreating_spark_application.html


NEW QUESTION # 68
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?

Answer: D

Explanation:
Ray GPU support creates a separate GPU worker pod/group for GPU-accelerated Ray jobs, and administrators can configure its GPU resources; this GPU worker is not autoscaled.
Reference: https://docs.ezmeral.hpe.com/unified-analytics/15/Ray/ray-gpu-support.html


NEW QUESTION # 69
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