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 20,2025.
- Exam Code: HPE2-T38
- Exam Name: HPE AI and Machine Learning
- Certification Provider: HP
- Latest update: Feb 20,2025
In the context of HPE machine learning solutions, what are hardware requirements typically focused on?
- A . Maximizing computational speed
- B . Controlling data privacy
- C . Reducing model accuracy
- D . Minimizing data diversity
Which HPE ML offering provides a platform for managing, controlling, and orchestrating AI and ML workflows in hybrid cloud environments?
- A . HPE Ezmeral Data Fabric Edge
- B . HPE Ezmeral ML Ops
- C . HPE Ezmeral Data Fabric
- D . HPE Ezmeral Container Platform
What programming languages are supported by the HPE Machine Learning [PDK]?
- A . Python and Java
- B . Ruby and C#
- C . C++ and Swift
- D . PHP and JavaScript
What is one of the key business values of HPE ML solutions in terms of efficiency and productivity?
- A . Improving decision-making
- B . Lowering costs
- C . Enhancing customer experience
- D . Increasing operational efficiency
What is the name of the HPE platform that offers end-to-end machine learning lifecycle management?
- A . HPE ML Ops
- B . HPE OneSphere
- C . HPE GreenLake
- D . HPE Ezmeral
What is the role of data preprocessing in the HPE Machine Learning [PDK] workflow?
- A . It is not a required step in the workflow.
- B . It involves deploying models to production servers.
- C . It involves cleaning and transforming data before model training.
- D . It focuses on creating visualizations of model performance.
Which factor should be considered when deciding between HPE Machine Learning enterprise offerings and open-source versions?
- A . Scalability
- B . Ease of implementation
- C . User interface
- D . Cost
How does the HPE Machine Learning [PDK] support collaboration among team members?
- A . By restricting access to models for individual members
- B . By limiting communication channels
- C . By enabling real-time model sharing and collaborative editing
- D . By requiring physical meetings for collaboration
Which of the following is NOT a common supervised learning algorithm?
- A . Support Vector Machines (SVM)
- B . K-Nearest Neighbors (KNN)
- C . Decision Trees
- D . K-Means Clustering
What are some common requirements needed for implementing HPE machine learning solutions?
- A . HPE ML Offerings compatibility
- B . Data scientists and analysts
- C . HPE hardware
- D . High-speed internet connection
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