Authentic HPE2-B08 Exam Questions - HPE2-B08 Certification Questions

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HP HPE2-B08 Exam Syllabus Topics:

Section	Objectives
HPE GreenLake for AI Solutions	- Consumption-based IT model for AI - GreenLake architecture and services
Data Management and Governance	- Data lifecycle management - Data governance and compliance
HPE Private Cloud AI Fundamentals	- Core AI workload characteristics - Overview of private cloud AI concepts
AI Infrastructure Design	- Storage and data pipeline design - Networking for AI workloads - Compute and GPU considerations
Security in Private Cloud AI	- Workload and data protection - Identity and access management
Deployment and Operations	- Lifecycle management of AI infrastructure - Deployment models for AI solutions - Monitoring and optimization

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HPE Private Cloud AI Solutions Sample Questions (Q12-Q17):

NEW QUESTION # 12
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 allow the customer to exchange the hardware for the next generation at no cost.
B. To cover the pre-integration and configuration of the entire solution at an HPE factory before shipment.
C. To provide a credit for future software purchases on the HPE GreenLake cloud.
D. To provide on-site training for the customer's data science team.

Answer: B

NEW QUESTION # 13
An IT director for a regional retail chain tells you they are "doing AI." Upon further questioning, you learn they have one data scientist who has built a single, experimental sales forecasting model as a proof-of-concept (PoC). The project lacks clear KPIs for success and there is no formal strategy for how to productionize it or what to do next.
How would you classify this customer's AI maturity level?

A. AI Curious
B. AI Pro
C. AI Beginner
D. Deployer of AI at scale

Answer: C

NEW QUESTION # 14
An AI application is being developed to analyze financial time-series data to predict stock market trends. The model needs to understand long-term dependencies and the sequence in which data points occur.
Which neural network architecture is specifically designed to handle sequential data like text or time- series?

A. Transformer model
B. Convolutional Neural Network (CNN)
C. A fully connected, feedforward neural network
D. K-Means Clustering Algorithm

Answer: A

NEW QUESTION # 15
An architect is meeting with a prospective customer to determine the right HPE AI solution. The customer provides the following information about their situation.
```
- AI Status: No formal AI strategy. One successful PoC for theft prevention using computer vision is running at a single store.
- Goal: Wants to explore creating a "digital twin" of their supply chain for simulation, but has no clear KPIs.
- Team: Two data scientists, one ML engineer.
- Infrastructure: Ad-hoc use of public cloud for the PoC; no standardized tech stack.
```
Based on this profile, which AI maturity level and corresponding HPE solution should the architect initially position? (Choose 2.)

A. The customer is a 'Deployer of AI at scale'.
B. Lead with HPE Private Cloud AI with NVIDIA.
C. Lead with HPE Cray systems for the digital twin simulation.
D. The customer is an 'AI Pro'.
E. The customer is an 'Early AI user'.

Answer: B,E

NEW QUESTION # 16
An architect is designing an infrastructure solution for an AI workload that involves processing massive datasets for training. The goal is to minimize data transfer latency between the storage system and the GPUs in the compute nodes. The architect wants to enable the NVIDIA GPUs to fetch data directly from the NVMe storage array, bypassing the server's CPU and main memory.
Review the proposed architectural components:
```
- Compute Nodes: HPE ProLiant DL380a Gen11 with NVIDIA H100 GPUs
- Storage: HPE GreenLake for File Storage
- Interconnect: Ethernet with RoCE support
```
Which technology must be enabled and properly configured across these components to achieve this direct GPU-to-storage data path? (Choose 2.)

A. RDMA over Converged Ethernet (RoCE)
B. Multi-Instance GPU (MIG)
C. NVLink
D. GPUDirect Storage (GDS)
E. Confidential Computing

Answer: A,D

NEW QUESTION # 17
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