HP HPE2-T38 HPE AI and Machine Learning Online Training
HP HPE2-T38 Online Training
The questions for HPE2-T38 were last updated at Feb 21,2025.
- Exam Code: HPE2-T38
- Exam Name: HPE AI and Machine Learning
- Certification Provider: HP
- Latest update: Feb 21,2025
What is the HPE machine learning [PDK] designed to integrate with?
- A . HPE servers and storage solutions
- B . Microsoft Office Suite
- C . Open-source machine learning frameworks
- D . Adobe Creative Cloud
What is the primary benefit of using the HPE machine learning [PDK] for model deployment?
- A . Faster deployment times
- B . Improved data storage capabilities
- C . Enhanced user interface design
- D . Lower cost of deployment
What types of data sources can be integrated with the HPE machine learning [PDK]?
- A . Text documents only
- B . Structured and unstructured data
- C . Social media data only
- D . Video and audio files only
In what way can HPE ML solutions assist businesses in improving revenue generation?
- A . Increasing operational inefficiencies
- B . Decreasing customer engagement
- C . Ignoring market trends
- D . Personalizing product recommendations
When comparing HPE Machine Learning enterprise offerings to open-source versions, which of the following is a potential advantage of open-source solutions?
- A . Increased security features
- B . Integrated with existing HPE infrastructure
- C . Greater community support and collaboration
- D . Higher level of vendor support
What is the role of feature selection in machine learning?
- A . To determine the optimal number of features
- B . To select the best machine learning algorithms
- C . To remove irrelevant or redundant features
- D . To evaluate model accuracy
What is the purpose of the HPE machine learning [PDK]?
- A . To manage cloud storage
- B . To provide a platform for developing and deploying machine learning models
- C . To analyze customer data for market research purposes
- D . To optimize server performance
Which of the following best describes the level of customization options available with HPE Machine Learning enterprise offerings compared to open-source versions?
- A . Both offer similar customization options
- B . Open-source versions offer more customization options
- C . HPE offers more customization options
- D . Customization options are not a factor in choosing between the two options
What are some key features of the HPE machine learning [PDK]?
- A . Social media integration
- B . Real-time data visualization
- C . Automated model training and deployment
- D . Voice recognition capabilities
How does the HPE machine learning [PDK] support model optimization?
- A . It offers hyperparameter tuning capabilities
- B . It requires manual optimization by the user
- C . It does not support model optimization
- D . It automatically optimizes models
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