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Artificial Intelligence AI
Practice Test Course
Instructor : Vijay Kumar Yadav (Author of 35 Computer and Technology Books)
Questions : 20 (Multiple Choice, Multiple Selection, Fill in the Blank and True/False)
Time : 1 Hour
**Section 1: Multiple Choice Questions (MCQs)**
1. Which of the following best describes the concept of **Artificial General Intelligence (AGI)**?
a) AI that can perform a single task efficiently
b) AI with human-like cognitive abilities across a wide range of tasks
c) AI specialized in decision-making for business applications
d) AI that does not require data to learn
**Answer:** **b**
2. What is the primary purpose of the **Transformer** architecture in deep learning?
a) To process tabular data efficiently
b) To improve reinforcement learning algorithms
c) To enhance performance in natural language processing (NLP) tasks
d) To optimize AI models for robotics
**Answer:** **c**
3. Which of the following algorithms is commonly used for **unsupervised learning**?
a) Decision Trees
b) K-Means Clustering
c) Naïve Bayes
d) Support Vector Machines
**Answer:** **b**
4. In reinforcement learning, what does the **Q-value** represent?
a) The quality of the input data
b) The predicted outcome of a classification model
Artificial Intelligence AI
Practice Test Course
Instructor : Vijay Kumar Yadav (Author of 35 Computer and Technology Books)
Questions : 20 (Multiple Choice, Multiple Selection, Fill in the Blank and True/False)
Time : 1 Hour
**Section 1: Multiple Choice Questions (MCQs)**
1. Which of the following best describes the concept of **Artificial General Intelligence (AGI)**?
a) AI that can perform a single task efficiently
b) AI with human-like cognitive abilities across a wide range of tasks
c) AI specialized in decision-making for business applications
d) AI that does not require data to learn
**Answer:** **b**
2. What is the primary purpose of the **Transformer** architecture in deep learning?
a) To process tabular data efficiently
b) To improve reinforcement learning algorithms
c) To enhance performance in natural language processing (NLP) tasks
d) To optimize AI models for robotics
**Answer:** **c**
3. Which of the following algorithms is commonly used for **unsupervised learning**?
a) Decision Trees
b) K-Means Clustering
c) Naïve Bayes
d) Support Vector Machines
**Answer:** **b**
4. In reinforcement learning, what does the **Q-value** represent?
a) The quality of the input data
b) The predicted outcome of a classification model
