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HP HPE2-B08 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Solution Sizing and Configuration	17%	- Using HPE Intelligent Configurator for sizing - Differences between configuration sizes and options - Building configurations via One Config Advanced (OCA)
Topic 2: Software Components of HPE Private Cloud AI with NVIDIA	20%	- Benefits of HPE and NVIDIA software stack - Software functions supporting AI operations
Topic 3: Customer Assessment and Solution Positioning	15%	- Assess AI maturity, workload characteristics and use cases - Position appropriate HPE AI solutions
Topic 4: Infrastructure Components of HPE Private Cloud AI with NVIDIA	20%	- Benefits of HPE and NVIDIA integrated infrastructure - Infrastructure capabilities for AI workload requirements
Topic 5: Fundamental AI Concepts	28%	- General AI concepts, applications and workloads - Impact of AI on industries and infrastructure requirements

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HPE Private Cloud AI Solutions Sample Questions (Q18-Q23):

NEW QUESTION # 18
After an architect selects the "HPE Private Cloud AI - Large - Expanded" Smart Template in OCA, they see it includes a significant number of "HPE Factory Express Complex Unit of SVC" services.
What is the purpose of these bundled services?

A. To provide on-site training for the customer's data science team.
B. To cover the pre-integration and configuration of the entire solution at an HPE factory before shipment.
C. To allow the customer to exchange the hardware for the next generation at no cost.
D. To provide a credit for future software purchases on the HPE GreenLake cloud.

Answer: B

NEW QUESTION # 19
An enterprise wants to build an internal AI platform that functions like an "App Store." Their goal is to provide various internal development teams with a catalog of curated AI models that they can easily deploy and integrate into their applications without needing deep AI expertise. The platform must be secure, reliable, and scalable.
Which software components within the HPE Private Cloud AI stack are essential to building this platform? (Select all that apply.)

A. HPE AI Essentials for a unified data science and MLOps plane
B. The HPE Intelligent Configurator
C. NVIDIAAI Enterprise for enterprise-grade support and security
D. NVIDIA NIM (NVIDIA Inference Microservices)
E. A collection of pre-trained community and custom-built AI models

Answer: A,C,D,E

NEW QUESTION # 20
A customer has selected the "HPE Private Cloud AI - Medium - Expanded" configuration.
Which of the following resource counts correctly describes this specific configuration?

A. 2 worker nodes, 8 total L40S GPUs, single rack
B. 8 worker nodes, 32 total H100 NVL GPUs, dual rack
C. 4 worker nodes, 16 total L40S GPUs, single rack
D. 4 worker nodes, 16 total H100 NVL GPUs, dual rack

Answer: C

NEW QUESTION # 21
A financial services firm is building a fraud detection application on HPE Private Cloud AI. The application needs to process a continuous stream of transaction data from multiple sources in real time.
The data science team requires a robust platform to build, manage, and execute the complex data pipelines needed to feed the AI model.
Which pre-integrated open-source tool within HPE AI Essentials is the industry standard for orchestrating and managing these complex data workflows and pipelines?

A. Prometheus
B. Apache Airflow
C. Kyverno
D. JupyterLab

Answer: B

NEW QUESTION # 22
What is the primary purpose of using the "Private Cloud Smart Template" within HPE One Config Advanced (OCA) when quoting an HPE Private Cloud AI solution?

A. To ensure a fast, easy, and validated process for generating a complete and accurate Bill of Materials (BOM) for a pre-integrated solution.
B. To provide a free trial license for the VMware and NVIDIA software.
C. To automatically generate a network diagram and rack elevation for the customer.
D. To allow for complete customization of every component, including unsupported hardware.

Answer: A

NEW QUESTION # 23
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