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| Section | Objectives |
|---|---|
| Topic 1: Operations and Troubleshooting | - Monitoring and performance optimization - Incident resolution and capacity planning |
| Topic 2: Solution Design and Integration | - High availability and scalability design - Storage and networking integration considerations |
| Topic 3: HPE Compute Architecture Design | - Workload analysis and requirements mapping - Compute infrastructure planning and sizing |
| Topic 4: HPE Compute Solutions Portfolio | - HPE Synergy and composable infrastructure - HPE ProLiant server solutions - HPE GreenLake compute offerings |
| Topic 5: Security and Lifecycle Management | - Secure compute architecture principles - Firmware, patching, and lifecycle management |
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NEW QUESTION # 74
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: C
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 # 75
A customer has policies requiring the removal of sensitive information from AI fine-tuning data.
Which solution will help them address this need?
Answer: A
Explanation:
NVIDIA NeMo Curator is used for data curation and preprocessing, including PII/sensitive-data identification and removal before data is used for training or fine-tuning. Katib and Ray Tune are for HPO, while NeMo Evaluator evaluates model quality.
Reference: https://docs.nvidia.com/nemo-framework/user-
guide/25.04/datacuration/personalidentifiableinformationidentificationandremoval.html
NEW QUESTION # 76
You are configuring a solution in One Config Advanced (OCA).
What is a use case for the Customer Intent Document (CID)?
Answer: C
Explanation:
The Customer Intent Document (CID) captures customer-specific factory integration requirements and instructions so HPE can configure, integrate, and validate the solution correctly before delivery.
NEW QUESTION # 77
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: D
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 # 78
A potential HPE Private Cloud AI customer has data stored in several locations. These include a Cassandra database, a Hive data warehouse, and a data lakehouse on S3 object storage.
Which correctly describes the HPE Private Cloud AI's ability to query data across these sources?
Answer: C
Explanation:
HPE AI Essentials uses EzPresto for federated queries across multiple data sources, and it supports querying configured sources such as Cassandra, Hive, and S3/lakehouse data sources through the Data Lakehouse Gateway.
Reference:
https://support.hpe.com/hpesc/public/docDisplay?docId=a00aie111hen_us&docLocale=en_US&p age=EzPresto%2Fezpresto.html
NEW QUESTION # 79
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