HP HPE2-B08 Exam Overview:
| Certification Vendor: | Hewlett Packard Enterprise (HPE) |
|---|---|
| Exam Name: | HPE Private Cloud AI Solutions |
| Exam Number: | HPE2-B08 |
| Certificate Validity Period: | 3 years |
| Available Languages: | English, Japanese |
| Exam Price: | $140 USD (developed regions), $75 USD (emerging regions) |
| Exam Duration: | 90 minutes |
| Passing Score: | 70% |
| Related Certifications: | HPE Hybrid Cloud Solutions HPE AI and Machine Learning Solutions |
| Exam Format: | Multiple Choice, Simulations |
| Real Exam Qty: | 40 |
| Recommended Training: | HPE Solution Certified Study Guide HPE Private Cloud AI Training Course |
| Exam Registration: | Pearson VUE Registration |
| Sample Questions: | HP HPE2-B08 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended experience with HPE cloud infrastructure and AI technologies |
| Official Syllabus URL: | https://www.hpe.com/us/en/certification/exams/hpe2-b08.html |
HP HPE2-B08 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Software Components of HPE Private Cloud AI with NVIDIA | 20% | - Software functions supporting AI operations - Benefits of HPE and NVIDIA software stack |
| Topic 2: Customer Assessment and Solution Positioning | 15% | - Position appropriate HPE AI solutions - Assess AI maturity, workload characteristics and use cases |
| Topic 3: Infrastructure Components of HPE Private Cloud AI with NVIDIA | 20% | - Benefits of HPE and NVIDIA integrated infrastructure - Infrastructure capabilities for AI workload requirements |
| Topic 4: 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 5: Fundamental AI Concepts | 28% | - Impact of AI on industries and infrastructure requirements - General AI concepts, applications and workloads |
HPE Private Cloud AI Solutions Sample Questions:
Question #1
A customer has used the HPE Intelligent Configurator and determined that the HPE Private Cloud AI
"Small - Expanded" configuration meets their needs. They now need to generate a final, quotable Bill of Materials (BOM).
What is the most direct and efficient method for the sales team to create this BOM?
A. Manually add each component (servers, GPUs, switches, cables, etc.) one by one into HPE One Config Advanced (OCA).
B. Select the "HPE Private Cloud AI - Small - Expanded" Smart Template within HPE One Config Advanced (OCA).
C. Send the output from the HPE Intelligent Configurator directly to the distribution partner for a quote.
D. Use the standard HPE ProLiant DL380a Gen11 server template in OCA and add the GPUs and networking manually.
Question #2
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. 1x HPE ProLiant DL380a Gen11 server with 4x NVIDIA L40S GPUs
C. 2x HPE ProLiant DL380a Gen11 servers with a total of 8x NVIDIA L40S GPUs
D. 4x HPE ProLiant DL380a Gen11 servers with a total of 16x NVIDIA H100 NVL GPUs
Question #3
A customer in the media and entertainment industry wants a solution to accelerate the creation of 3D animations and renderings. Their artists need to be able to generate complex visual AI content quickly.
The company has a mature AI practice and requires a powerful, data center-based solution.
Which HPE ProLiant server and NVIDIA GPU combination is purpose-built for these generative visual AI workloads?
A. HPE ProLiant DL380a Gen11 server with CPU-only configuration
B. HPE ProLiant DL380a Gen12 server with an NVIDIA NVLink Bridge but no GPUs
C. HPE ProLiant DL380a Gen11 server with NVIDIA L40S GPUs
D. HPE ProLiant DL320 Gen11 server with NVIDIA L4 GPUs
Question #4
A customer needs a solution for two primary workloads: large-scale model training and real-time inference. They have a team of data scientists who are constantly developing new models and a separate operations team that deploys and manages these models in production.
Which statement best describes how the different stakeholders would interact with the HPE Private Cloud AI solution?
A. Both the data scientists and the operations team would use the HPE Intelligent Configurator to manage the models.
B. The data scientists would primarily use tools within HPE AI Essentials (like JupyterLab and MLFlow) for model development, while the operations team would use NVIDIA NIMs to deploy the finished models.
C. The data scientists would use NVIDIA NIMs to train the models, and the operations team would use HPE Data Fabric to serve them.
D. The entire process for all stakeholders is managed through the server's iLO interface.
Question #5
During a discovery call, a customer from a telecommunications company explains their primary goal:
"We need to analyze network traffic patterns in real-time to detect anomalies that could indicate a security threat or a network outage." Which key use case for HPE Private Cloud AI does this represent?
A. Document Chat
B. AI Recommender System
C. Code Generation
D. AI Cybersecurity
Solutions:
| Question #1 Correct Answer: B | Question #2 Correct Answer: B | Question #3 Correct Answer: C | Question #4 Correct Answer: B | Question #5 Correct Answer: D |


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