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| Section | Weight | Objectives |
|---|
| Topic 1: Infrastructure Components of HPE Private Cloud AI with NVIDIA | 20% | - Infrastructure capabilities for AI workload requirements - Benefits of HPE and NVIDIA integrated infrastructure
|
| Topic 2: Customer Assessment and Solution Positioning | 15% | - Assess AI maturity, workload characteristics and use cases - Position appropriate HPE AI solutions
|
| Topic 3: Fundamental AI Concepts | 28% | - Impact of AI on industries and infrastructure requirements - General AI concepts, applications and workloads
|
| Topic 4: Software Components of HPE Private Cloud AI with NVIDIA | 20% | - Benefits of HPE and NVIDIA software stack - Software functions supporting AI operations
|
| Topic 5: Solution Sizing and Configuration | 17% | - Differences between configuration sizes and options - Building configurations via One Config Advanced (OCA) - Using HPE Intelligent Configurator for sizing
|
>> Certificate HP HPE2-B08 Exam <<
Free PDF Quiz 2026 HPE2-B08: HPE Private Cloud AI Solutions – Efficient Certificate Exam
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HPE Private Cloud AI Solutions Sample Questions (Q26-Q31):
NEW QUESTION # 26
What is the primary architectural advantage of the NVIDIA Grace Hopper Superchip (e.g., GH200) for large-scale AI workloads?
- A. It combines a CPU and a GPU on a single superchip, connected by a high-speed, low-latency NVLink-C2C interconnect.
- B. It replaces the need for server memory (DRAM) by using the GPU's global memory exclusively.
- C. It is the first NVIDIA GPU to feature fourth-generation Tensor Cores for enhanced matrix calculations.
- D. It uses on-chip encryption to create a confidential computing environment for the CPU.
Answer: A
NEW QUESTION # 27
An architect is using the HPE One Config Advanced (OCA) Smart Template for "HPE Private Cloud AI
- Small - Standard".
What is the worker node configuration they should expect to see in the generated Bill of Materials (BOM)?
- A. 3x HPE ProLiant DL325 Gen11 servers for management
- B. 4x HPE ProLiant DL380a Gen11 servers with a total of 16x NVIDIA H100 NVL GPUs
- C. 1x HPE ProLiant DL380a Gen11 server with 4x NVIDIA L40S GPUs
- D. 2x HPE ProLiant DL380a Gen11 servers with a total of 8x NVIDIA L40S GPUs
Answer: C
NEW QUESTION # 28
An architect is comparing two different models for a text summarization task.
Model A: A Convolutional Neural Network (CNN)
*Model B: A Transformer-based model
Why is the Transformer-based model (Model B) fundamentally better suited for this task?
- A. CNNs can only process images, not text.
- B. CNNs require significantly more training data than Transformers.
- C. Transformers can be trained without GPUs, unlike CNNs.
- D. Transformers use an attention mechanism to understand the contextual relationships between all words in the text, which is critical for summarization.
Answer: D
NEW QUESTION # 29
An organization is deploying a multi-tenant AI environment using HPE Private Cloud AI. They need to run several smaller, independent AI inference workloads on a single, powerful NVIDIA H100 GPU to maximize resource utilization. Each workload must be securely isolated with its own dedicated portion of the GPU's compute and memory resources.
What key NVIDIA technology, supported on the Hopper architecture, allows for this secure partitioning of a single physical GPU? (Select all that apply.)
- A. GPUDirect Storage (GDS)
- B. NVLink Bridge
- C. Remote Direct Memory Access (RDMA)
- D. Confidential Computing
- E. Multi-Instance GPU (MIG)
Answer: D,E
NEW QUESTION # 30
A customer explains that their data engineers are spending too much time managing disparate data pipelines with a complex set of open-source tools. They are an 'Early AI User' trying to standardize their approach.
Which value proposition of HPE Private Cloud AI directly addresses this specific stakeholder's pain point?
- A. It includes HPE AI Essentials, which provides a unified platform with pre-integrated data pipeline and workflow tools like Apache Airflow and Spark.
- B. Its management plane uses three redundant HPE ProLiant DL325 servers for high availability.
- C. It can be deployed in a colocation facility through HPE GreenLake.
- D. It offers a choice of NVIDIA GPUs to accelerate model training.
Answer: A
NEW QUESTION # 31
......
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