HPE2-B08 시험 - HP실제시험문제와 답 - 85문항

Question No : 1

What are important considerations when evaluating AI model performance? (Select two.)

A.Preventing AI models from making autonomous decisions
B.Computational efficiency and resource utilization
C.Ensuring all training data is manually labeled
D.Model accuracy and precision

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Question No : 2

What are key networking considerations for AI workloads in HPE Private Cloud AI? (Select two.)

A.Low-latency networking for high-speed AI data transfers
B.Limiting AI workloads to basic Ethernet connections
C.High-bandwidth interconnects like InfiniBand for large AI models
D.Using standard LAN infrastructure without optimization

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Question No : 3

What infrastructure components in HPE Private Cloud AI enable scalability for AI workloads? (Select two.)

A.Restricting compute expansion in multi-GPU setups
B.High-speed interconnects for distributed AI training
C.Limiting AI workloads to single-node systems
D.Modular server architecture for workload expansion

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Question No : 4

How does HPE support AI deployment at the edge?

A.Through HPE Edgeline servers integrated with NVIDIA AI software
B.By limiting AI workloads to cloud-based systems
C.By restricting edge AI to CPU-only configurations
D.By requiring AI models to be processed in traditional data centers

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Question No : 5

A company wants to build an AI-powered chatbot for customer support.
Which AI approach should they use?

A.Rule-based programming
B.Natural Language Processing (NLP)
C.Manual customer service responses
D.Static web scripts

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Question No : 6

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

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Question No : 7

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

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Question No : 8

What are characteristics of supervised and unsupervised learning? (Select two.)

A.Supervised learning uses labeled data for training
B.Unsupervised learning identifies patterns in unlabeled data
C.Supervised learning is used for clustering similar data points
D.Unsupervised learning requires predefined outputs

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Question No : 9

In which industries is AI commonly used? (Select two.)

A.Healthcare for predictive diagnostics
B.Retail for supply chain management
C.Manual data entry automation
D.Traditional file storage management

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Question No : 10

A manufacturing company wants to use AI to predict machinery failures before they occur.
Which AI approach should they use?

A.Anomaly detection using machine learning models
B.Traditional statistical reporting
C.Manual review of all machine logs
D.Batch processing of historical data without real-time updates

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Question No : 11

How does Machine Learning (ML) differ from traditional AI?

A.ML allows systems to learn from data without explicit programming
B.ML is rule-based, whereas AI is purely statistical
C.AI only works with structured data, while ML processes unstructured data
D.AI is limited to cloud environments, while ML requires on-premises hardware

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Question No : 12

What are key storage considerations for AI workloads? (Select two.)

A.Using only traditional HDDs for AI model execution
B.Avoiding AI-specific optimizations in storage architecture
C.High-bandwidth storage for real-time AI data processing
D.Scalable storage solutions for large AI model datasets

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Question No : 13

A retail company wants to deploy an AI-powered recommendation engine that can scale dynamically with customer data growth.
What is the best approach?

A.Private cloud AI with scalable storage and compute resources
B.On-premises fixed-size AI deployment
C.Manual dataset review without AI integration
D.Restricting AI inferencing to predefined datasets

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Question No : 14

A global research institution is selecting an AI configuration for deep learning workloads.
What key components should they prioritize? (Select two.)

A.HPE Apollo 6500 servers with NVIDIA GPUs
B.High-speed InfiniBand networking for distributed AI training
C.Standard LAN with limited bandwidth
D.Low-power CPUs with HDD storage

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Question No : 15

A retail business wants to implement AI for customer insights and sales forecasting.
What AI techniques should they consider? (Select two.)

A.Predictive analytics for demand forecasting
B.Natural language processing (NLP) for customer sentiment analysis
C.Using manual customer surveys exclusively
D.Restricting AI use to in-store data only

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HP HPE2-B08 시험