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
What is data preprocessing in machine learning?
- A . It refers to the transformation of raw data into a proper format for analysis
- B . It is the process of selecting the most relevant features for the model
- C . It involves removing or correcting errors in the data
- D . It is the final step in the machine learning process
How can HPE’s machine learning solutions help businesses engage with their customers more effectively?
- A . Personalized recommendations
- B . Faster time to market
- C . Enhanced customer service
- D . Predictive analytics
What is one advantage of using the HPE Machine Learning [PDK] over manual model development?
- A . Higher accuracy of models
- B . Faster model iteration and deployment
- C . Simplified debugging process
- D . Lower cost of development
How does the HPE Machine Learning [PDK] handle model versioning and tracking?
- A . It deletes previous versions to save storage space.
- B . It does not support model versioning.
- C . It requires manual tracking by the developer.
- D . It automatically saves all versions of a model and tracks performance metrics.
What is a potential drawback of using open-source versions as opposed to HPE Machine Learning enterprise offerings?
- A . Security vulnerabilities
- B . Lack of community support
- C . Limited customization options
- D . Unreliable performance
How can HPE ML solutions assist businesses in optimizing their operations?
- A . Automating manual processes
- B . Predicting equipment failures
- C . Streamlining supply chain management
- D . All of the above
What role does HPE ML solutions play in enhancing data security for businesses?
- A . Detecting anomalies in network traffic
- B . Identifying potential cybersecurity threats
- C . Protecting sensitive data
- D . All of the above
What role does HPE ML solutions play in risk management for businesses?
- A . All of the above
- B . Identifying potential risks
- C . Analyzing data for risk patterns
- D . Predicting future risks
What is one of the key benefits of implementing HPE ML solutions in terms of scalability?
- A . All of the above
- B . Improving data processing speed
- C . Scaling resources based on demand
- D . Enhancing system performance
What is a key advantage of using HPE Machine Learning enterprise offerings over open-source versions?
- A . Support and reliability
- B . Customizability
- C . Lower cost
- D . Community involvement
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