Practice Free HPE2-T38 Exam Online Questions
What role can HPE ML solutions play in improving inventory management for businesses?
- A . By causing delays in restocking
- B . By minimizing stockouts and overstock situations
- C . By providing inaccurate inventory data
- D . By ignoring inventory levels
B
Explanation:
HPE ML solutions can play a role in improving inventory management for businesses by minimizing stockouts and overstock situations.
Which of the following is a potential advantage of using HPE ML solutions for predictive maintenance in industries?
- A . Increasing manual labor
- B . Decreasing equipment downtime
- C . Raising operational costs
- D . Lowering customer satisfaction
B
Explanation:
Decreasing equipment downtime is a potential advantage of using HPE ML solutions for predictive maintenance in industries.
How can developers access the HPE Machine Learning [PDK]?
- A . Via a mobile application.
- B . By physically visiting an HPE office.
- C . Through a web browser interface.
- D . By downloading the software onto their local machine.
D
Explanation:
Developers can access the HPE Machine Learning [PDK] by downloading the software onto their local machine.
How can HPE ML solutions contribute to reducing manual errors in business processes?
- A . By automating repetitive tasks
- B . By increasing manual tasks
- C . By introducing more errors
- D . By avoiding data analysis
A
Explanation:
HPE ML solutions can contribute to reducing manual errors in business processes by automating repetitive tasks.
Why is it important to have a solid understanding of machine learning fundamentals before implementing HPE machine learning solutions?
- A . To make the most out of the features offered
- B . To impress clients with technical knowledge
- C . To ensure optimal performance
- D . It is not necessary
C
Explanation:
Having a solid understanding of machine learning fundamentals is important before implementing HPE machine learning solutions to ensure optimal performance and effective utilization of features.
Which feature of HPE machine learning PDK helps users to quickly iterate on model development?
- A . Automated hyperparameter tuning
- B . Real-time data monitoring
- C . Code version control
- D . Interactive visualization tools
A
Explanation:
HPE machine learning PDK offers automated hyperparameter tuning to help users quickly iterate on model development.
What is the main advantage of using HPE Machine Learning enterprise offerings over open-source versions?
- A . Lack of community support
- B . Enhanced security features
- C . Higher cost
- D . Limited customization options
B
Explanation:
HPE Machine Learning enterprise offerings provide enhanced security features compared to open-source versions.
What is the main benefit of using the HPE Machine Learning Platform Development Kit (PDK) for machine learning development?
- A . Enhanced data visualization capabilities
- B . Faster model deployment
- C . Increased network performance
- D . Improved data security
B
Explanation:
The main benefit of using the HPE Machine Learning Platform Development Kit (PDK) for machine learning development is faster model deployment.
Which of the following is NOT a type of machine learning algorithm?
- A . Supervised learning
- B . Reinforcement learning
- C . Pre-defined learning
- D . Unsupervised learning
C
Explanation:
Pre-defined learning is not a type of machine learning algorithm.
Which of the following is a potential advantage of HPE Machine Learning enterprise offerings over open-source versions?
- A . Stronger integration with HPE infrastructure
- B . Limited scalability
- C . Lack of customization options
- D . Higher cost
A
Explanation:
Stronger integration with HPE infrastructure is a potential advantage of HPE Machine Learning enterprise offerings over open-source versions.