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 a key requirement for scaling HPE machine learning solutions across an enterprise?
- A . Specialized hardware for each model iteration
- B . Centralized data storage platform
- C . High model complexity
- D . Limited access to data sources
What is the primary goal of machine learning?
- A . To enable computers to learn from data and improve performance on a specific task
- B . To write algorithms that can perform any computational task
- C . To create machines that can replicate human emotions
- D . To develop machines that can think and learn like humans
How can HPE ML solutions help businesses in terms of talent management?
- A . All of the above
- B . Identifying high-potential candidates
- C . Customizing training programs
- D . Predicting employee attrition
Which of the following is an advantage of open-source versions of machine learning solutions compared to HPE Machine Learning enterprise offerings?
- A . Higher level of support
- B . More user-friendly interface
- C . Better performance
- D . Greater level of customization
What role does data labeling play as a requirement for HPE machine learning solutions?
- A . It helps create a labeled dataset for model training
- B . It ensures data privacy
- C . It eliminates the need for feature engineering
- D . It speeds up the training process
Which of the following is a requirement for utilizing HPE machine learning solutions in a production environment?
- A . Natural language processing skills
- B . Real-time data processing capabilities
- C . Data security protocols
- D . High-capacity hard drives
What is the purpose of the HPE Machine Learning [PDK]?
- A . To automate customer engagement processes.
- B . To optimize network performance.
- C . To store and manage data effectively.
- D . To provide a platform for developers to easily build, train, and deploy machine learning models.
What are the key features of HPE’s current enterprise machine learning solutions?
- A . AutoML functionality
- B . Advanced analytics capabilities
- C . Data security features
- D . Scalability
What is a key requirement for implementing HPE machine learning solutions?
- A . Ensuring proper data governance and compliance
- B . Using any programming language for development
- C . Having a strong background in robotics
- D . Installing a specific type of operating system
What is the cloud-based machine learning platform from HPE that allows users to build, train, deploy, and manage machine learning models?
- A . HPE GreenLake
- B . HPE Ezmeral ML Ops
- C . HPE Ezmeral Container Platform
- D . HPE OneSphere
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