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Exam (elaborations)

Comprehensive NARM Multiple Choice Questions and Solutions

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  • Module
  • NARM
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  • NARM

This document provides a complete collection of 50 multiple-choice questions (MCQs) with answers and explanations focused on NARM (Non-Algorithmic Random Modeling). It is an essential resource for students, professionals, and educators seeking to understand the principles, applications, and challen...

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  • January 8, 2025
  • 15
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • NARM
  • NARM
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NARM Multiple Choice Questions

With Solutions

Questions

1. What does NARM stand for?

A. Non-Algorithmic Random Modeling

B. National Algorithm Research Method

C. Neural Algorithm Regression Modeling

D. None of the Above

Answer: A. Non-Algorithmic Random Modeling

2. Which of the following best describes NARM?

A. A purely deterministic algorithm

B. A random, non-algorithmic process

C. A fixed mathematical framework

D. A predictive AI model

Answer: B. A random, non-algorithmic process

3. In which field is NARM most commonly applied?

A. Quantum Physics

B. Artificial Intelligence

, C. Data Science

D. All of the above

Answer: D. All of the above

4. What is a key advantage of NARM?

A. High accuracy in structured data

B. Flexibility in unstructured environments

C. Easy implementation in hardware

D. Minimal computation power required

Answer: B. Flexibility in unstructured environments

5. Which technique is often compared with NARM?

A. Heuristic methods

B. Monte Carlo simulations

C. Linear regression

D. Decision Trees

Answer: B. Monte Carlo simulations

6. What kind of datasets are ideal for NARM?

A. Structured datasets

B. Unstructured and noisy datasets

C. Labelled datasets only

D. None of the above

Answer: B. Unstructured and noisy datasets

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