HPE Private Cloud AI Solutions (HPE2-B08) Certification Sample Questions

Getting knowledge of the Hewlett Packard Enterprise HPE2-B08 exam structure and question format is vital in preparing for the HPE Private Cloud AI Solutions certification exam. Our HPE Private Cloud AI Solutions sample questions offer you information regarding the question types and level of difficulty you will face in the real exam. The benefit of using these Hewlett Packard Enterprise HPE2-B08 sample questions is that you will get to check your preparation level or enhance your knowledge by learning the unknown questions. You will also get a clear idea of the exam environment and exam pattern you will face in the actual exam with the HPE Private Cloud AI Solutions Sample Practice Test. Therefore, solve the HPE SC-PCAI sample questions to stay one step forward in grabbing the HPE Solution Certified - Private Cloud AI credential.

These Hewlett Packard Enterprise HPE2-B08 sample questions are simple and basic questions similar to the actual HPE Private Cloud AI Solutions questions. If you want to evaluate your preparation level, we suggest taking our HPE Private Cloud AI Solutions Premium Practice Test. You might face difficulties while solving the real-exam-like questions. But, you can work hard and build your confidence on the syllabus topics through unlimited practice attempts.

Hewlett Packard Enterprise HPE2-B08 Sample Questions:

01. How does One Config Advanced (OCA) help in building an HPE Private Cloud AI configuration?
a) By automating AI training pipelines
b) By replacing manual AI workload tuning
c) By selecting optimal hardware and software components
d) By enforcing static AI configurations

02. A university is building an AI research lab and requires scalable infrastructure for machine learning model training. What key components should they implement?
(Select two.)
a) Low-power CPUs without GPU acceleration
b) High-bandwidth storage optimized for AI datasets
c) Standard office laptops for AI model execution
d) High-performance compute nodes with NVIDIA GPUs

03. Which hardware is commonly used to accelerate AI workloads?
a) CPUs
b) GPUs and TPUs
c) SSDs
d) RAM modules

04. What are key benefits of using HPE GreenLake for AI workloads?
(Select two.)
a) AI-as-a-Service with scalable deployment options
b) Cloud-based AI training with flexible resource management
c) Limiting AI workloads to fixed configurations
d) Preventing automation in AI model execution

05. Which NVIDIA software framework is used for deep learning model acceleration?
a) OpenStack
b) HPE Ezmeral Container Platform
c) HPE OneView
d) NVIDIA TensorRT

06. Which deep learning frameworks are commonly used for AI development?
(Select two.)
a) TensorFlow
b) Apache Hadoop
c) PyTorch
d) MySQL

07. A company is training deep learning models and needs high-performance compute resources. Which HPE solution should they consider?
a) HPE Apollo 6500 with NVIDIA GPUs
b) Standard x86 servers with no GPU acceleration
c) HPE ProLiant Gen10 for web hosting
d) Legacy storage arrays with low compute power

08. In which industries is AI commonly used for predictive analytics?
(Select two.)
a) Static document storage management
b) Retail for demand forecasting
c) Finance for fraud detection
d) Manual invoice processing

09. How does NVIDIA AI Enterprise enhance AI workloads on HPE Private Cloud AI?
a) By providing enterprise-grade software optimizations for AI and deep learning
b) By replacing the need for AI-specific hardware
c) By restricting AI workloads to on-premises environments
d) By automating all AI model decisions without human intervention

10. A healthcare provider wants to implement an AI-powered diagnostic imaging platform. What infrastructure components should they use?
(Select two.)
a) Low-power CPUs with HDD storage
b) Standard LAN networking without high-speed connectivity
c) HPE Apollo 6500 servers with NVIDIA GPUs
d) High-speed NVMe storage for medical image processing

Answers:

Question: 01 Answer: c	Question: 02 Answer: b, d	Question: 03 Answer: b	Question: 04 Answer: a, b	Question: 05 Answer: d
Question: 06 Answer: a, c	Question: 07 Answer: a	Question: 08 Answer: b, c	Question: 09 Answer: a	Question: 10 Answer: c, d

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