HPE AI and Machine Learning : HPE2-T38

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HP HPE2-T38 Exam Syllabus Topics:

HPE AI and Machine Learning Sample Questions:

1. HPE ProLiant Servers are best suited for:
Response:

A) Website development
B) Educational platforms
C) AI tasks like visual AI and language processing
D) High-frequency trading

2. What role does ''data normalization'' play in ML?
Response:

A) Enhancing model security
B) Improving algorithm performance
C) Simplifying the programming process
D) Reducing data storage needs

3. The HPE Machine Learning Development Environment helps:
Response:

A) Manage financial transactions
B) Develop and train more accurate ML models faster
C) Reduce data storage costs
D) Provide customer service solutions

4. Which technique is used for dimensionality reduction in ML?
Response:

A) Principal Component Analysis
B) Naive Bayes Classifier
C) Support Vector Machine
D) K-Means Clustering

5. For machine learning solutions, which of these operating systems is typically preferred?
Response:

A) Windows 95
B) Any modern OS capable of supporting ML frameworks
C) DOS
D) An OS without multitasking capabilities

Solutions: