Back

Practice Free HPE2-T38 Exam Online Questions

Question #81

Which HPE offering provides a scalable distributed machine learning platform for enterprise AI and ML workloads?

  • A . HPE Ezmeral Container Platform
  • B . HPE Ezmeral Machine Learning Ops
  • C . HPE Ezmeral Data Fabric
  • D . HPE Ezmeral ML Ops

Reveal Solution Hide Solution

Correct Answer: B
B

Explanation:

HPE Ezmeral Machine Learning Ops provides a scalable distributed machine learning platform for enterprise AI and ML workloads.
Question #82

What is the purpose of feature engineering in machine learning?

  • A . To avoid using features in machine learning algorithms
  • B . To remove all features from the dataset for better accuracy
  • C . To create new features from existing data to improve model performance
  • D . To add noise to the data to confuse the model

Reveal Solution Hide Solution

Correct Answer: C
C

Explanation:

The purpose of feature engineering in machine learning is to create new features from existing data to improve model performance.
Question #83

What are some key requirements for deploying HPE machine learning solutions?

  • A . Skilled data scientists and analysts
  • B . Data storage and processing capabilities
  • C . Integration with existing enterprise systems
  • D . High-performance computing infrastructure

Reveal Solution Hide Solution

Correct Answer: D
D

Explanation:

Having a high-performance computing infrastructure is essential for deploying HPE machine learning solutions effectively.
Question #84

What role does the PDK play in the process of deploying machine learning models in production?

  • A . None, PDK is only for development
  • B . Manages model monitoring and updates
  • C . Supports deployment to cloud platforms
  • D . Facilitates on-device deployment

Reveal Solution Hide Solution

Correct Answer: C
C

Explanation:

The PDK tool in HPE machine learning supports deployment of models to cloud platforms.