MCQOPTIONS
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MCQOPTIONS
This section includes 940 Mcqs, each offering curated multiple-choice questions to sharpen your Artificial Intelligence knowledge and support exam preparation. Choose a topic below to get started.
| 901. |
In which year Donald Knuth and Ronald W. Moore refined the algorithm? |
| A. | 1970 |
| B. | 1975 |
| C. | 1980 |
| D. | 1985 |
| Answer» C. 1980 | |
| 902. |
What is the right order for a text classification model components? |
| A. | Text cleaning -> Text annotation -> Gradient descent -> Model tuning -> Text to predictors |
| B. | Text cleaning -> Text annotation -> Text to predictors -> Gradient descent -> Model tuning |
| C. | Text cleaning -> Gradient descent -> Model tuning -> Text to predictors -> Text annotation |
| D. | Text cleaning -> Text annotation -> Model tuning -> Text to predictors -> Gradient descent |
| Answer» C. Text cleaning -> Gradient descent -> Model tuning -> Text to predictors -> Text annotation | |
| 903. |
How many types of Artificial Neural Networks? |
| A. | 2 |
| B. | 3 |
| C. | 4 |
| D. | 5 |
| Answer» B. 3 | |
| 904. |
How many types of Move Ordering in Alpha-Beta pruning? |
| A. | 3 |
| B. | 4 |
| C. | 1 |
| D. | 2 |
| Answer» E. | |
| 905. |
The initial value of beta is ? |
| A. | Negative Infinity |
| B. | 0 |
| C. | Positive Infinity |
| D. | -1 |
| Answer» D. -1 | |
| 906. |
What is Neuro software? |
| A. | A software used to analyze neurons |
| B. | It is powerful and easy neural network |
| C. | Designed to aid experts in real world |
| D. | It is software used by Neurosurgeon |
| Answer» C. Designed to aid experts in real world | |
| 907. |
Which search is equal to minimax search but eliminates the branches that cant influence the final decision? |
| A. | Depth-first search |
| B. | Breadth-first search |
| C. | Alpha-beta pruning |
| D. | None of the above |
| Answer» D. None of the above | |
| 908. |
The initial value of alpha is? |
| A. | Negative Infinity |
| B. | 0 |
| C. | Positive Infinity |
| D. | 1 |
| Answer» B. 0 | |
| 909. |
Which of the following is an Applications of Neural Networks? |
| A. | Automotive |
| B. | Aerospace |
| C. | Electronics |
| D. | All of the above |
| Answer» E. | |
| 910. |
The output at each node is called_____. |
| A. | node value |
| B. | Weight |
| C. | neurons |
| D. | axons |
| Answer» B. Weight | |
| 911. |
What is the major difference between CRF (Conditional Random Field) and HMM (Hidden Markov Model)? |
| A. | CRF is Generative whereas HMM is Discriminative model |
| B. | Both CRF and HMM are Generative model |
| C. | CRF is Generative whereas HMM is Discriminative model |
| D. | Both CRF and HMM are Discriminative mode |
| Answer» B. Both CRF and HMM are Generative model | |
| 912. |
What is the full form of BN in Neural Networks? |
| A. | Bayesian Networks |
| B. | Belief Networks |
| C. | Bayes Nets |
| D. | All of the above |
| Answer» E. | |
| 913. |
In FeedForward ANN, information flow is _________. |
| A. | unidirectional |
| B. | bidirectional |
| C. | multidirectional |
| D. | All of the above |
| Answer» B. bidirectional | |
| 914. |
___________ is the process of transforming unstructured text into a structured format to identify meaningful patterns and new insights. |
| A. | Data mining |
| B. | Text mining |
| C. | File mining |
| D. | Deep mining |
| Answer» C. File mining | |
| 915. |
Who was the inventor of the first neurocomputer? |
| A. | Dr. John Hecht-Nielsen |
| B. | Dr. Robert Hecht-Nielsen |
| C. | Dr. Alex Hecht-Nielsen |
| D. | Dr. Steve Hecht-Nielsen |
| Answer» C. Dr. Alex Hecht-Nielsen | |
| 916. |
What is perceptron? |
| A. | a single layer feed-forward neural network with pre-processing |
| B. | an auto-associative neural network |
| C. | a double layer auto-associative neural network |
| D. | a neural network that contains feedback |
| Answer» B. an auto-associative neural network | |
| 917. |
The process of breaking out long-form text into sentences and words called? |
| A. | Stem |
| B. | Cluster |
| C. | Bag |
| D. | Tokens |
| Answer» E. | |
| 918. |
What is the name of node which take binary values TRUE (T) and FALSE (F)? |
| A. | Dual Node |
| B. | Binary Node |
| C. | Two-way Node |
| D. | Ordered Node |
| Answer» C. Two-way Node | |
| 919. |
Text mining is being used by large media companies, to clarify information and to provide readers with greater search experiences. |
| A. | True |
| B. | False |
| C. | Can be true or false |
| D. | Can't Say |
| Answer» B. False | |
| 920. |
Which of the following is true for neural networks?(i) The training time depends on the size of the network.(ii) Neural networks can be simulated on a conventional computer.(iii) Artificial neurons are identical in operation to biological ones. |
| A. | All of the mentioned are true |
| B. | (ii) is true |
| C. | (i) and (ii) are true |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 921. |
The BN variables are composed of how many dimensions? |
| A. | 2 |
| B. | 3 |
| C. | 4 |
| D. | 5 |
| Answer» C. 4 | |
| 922. |
We will only pass the alpha, beta values to the child nodes. |
| A. | True |
| B. | False |
| C. | Can be true or false |
| D. | Can't Say |
| Answer» B. False | |
| 923. |
Stemming: This refers to the process of separating the prefixes and suffixes from words to derive the root word form and meaning. |
| A. | True |
| B. | False |
| C. | Can be true or false |
| D. | Can't Say |
| Answer» B. False | |
| 924. |
Which of the following is not an Machine Learning strategies in ANNs? |
| A. | Unsupervised Learning |
| B. | Reinforcement Learning |
| C. | Supreme Learning |
| D. | Supervised Learning |
| Answer» D. Supervised Learning | |
| 925. |
Which ordering consumes more time because of alpha-beta factors? |
| A. | Ideal ordering |
| B. | Worst ordering |
| C. | both a and b |
| D. | None of the above |
| Answer» C. both a and b | |
| 926. |
The main condition which required for alpha-beta pruning is? |
| A. | alpha<=beta |
| B. | alpha>=beta |
| C. | alpha=beta |
| D. | alpha!=beta |
| Answer» C. alpha=beta | |
| 927. |
In which database, data is a blend between structured and unstructured data formats? |
| A. | Full-structured data |
| B. | Partial-structured data |
| C. | Semi-structured data |
| D. | Uni-structured data |
| Answer» D. Uni-structured data | |
| 928. |
A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2. The inputs are 4, 3, 2 and 1 respectively. What will be the output? |
| A. | 30 |
| B. | 40 |
| C. | 50 |
| D. | 60 |
| Answer» C. 50 | |
| 929. |
What is an auto-associative network? |
| A. | a neural network that contains no loops |
| B. | a neural network that contains feedback |
| C. | a neural network that has only one loop |
| D. | a single layer feed-forward neural network with pre-processing |
| Answer» C. a neural network that has only one loop | |
| 930. |
Typical text mining tasks include? |
| A. | text categorization |
| B. | text clustering |
| C. | entity relation modeling |
| D. | All of the above |
| Answer» E. | |
| 931. |
The network that involves backward links from output to the input and hidden layers is called _________ |
| A. | Self organizing map |
| B. | Perceptrons |
| C. | Recurrent neural network |
| D. | Multi layered perceptron |
| Answer» D. Multi layered perceptron | |
| 932. |
Which of the following is true?Single layer associative neural networks do not have the ability to:(i) perform pattern recognition(ii) find the parity of a picture(iii)determine whether two or more shapes in a picture are connected or not |
| A. | (ii) and (iii) are true |
| B. | (ii) is true |
| C. | All of the mentioned |
| D. | None of the mentioned |
| Answer» B. (ii) is true | |
| 933. |
The action ‘STACK(A, B)’ of a robot arm specify to$ |
| A. | Place block B on Block A |
| B. | Place blocks A, B on the table in that order |
| C. | Place blocks B, A on the table in that order |
| D. | Place block A on block B |
| Answer» E. | |
| 934. |
Among the following which is not a horn clause? |
| A. | p |
| B. | √òp V q |
| C. | p ‚Üí q |
| D. | p ‚Üí √òq |
| Answer» E. | |
| 935. |
What is a top-down parser? |
| A. | Begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual preterminal symbols are written |
| B. | Begins by hypothesizing a sentence (the symbol S) and successively predicting upper level constituents until individual preterminal symbols are written |
| C. | Begins by hypothesizing lower level constituents and successively predicting a sentence (the symbol S) |
| D. | Begins by hypothesizing upper level constituents and successively predicting a sentence (the symbol S) |
| Answer» B. Begins by hypothesizing a sentence (the symbol S) and successively predicting upper level constituents until individual preterminal symbols are written | |
| 936. |
A model of language consists of the categories which does not include |
| A. | Language units |
| B. | Role structure of units |
| C. | System constraints |
| D. | Structural units |
| Answer» E. | |
| 937. |
In language understanding, the levels of knowledge that does not include |
| A. | Phonological |
| B. | Syntactic |
| C. | Empirical |
| D. | Logical |
| Answer» D. Logical | |
| 938. |
Different learning methods does not include |
| A. | Memorization |
| B. | Analogy |
| C. | Deduction |
| D. | Introduction |
| Answer» E. | |
| 939. |
Factors which affect the performance of learner system does not include |
| A. | Representation scheme used |
| B. | Training scenario |
| C. | Type of feedback |
| D. | Good data structures |
| Answer» E. | |
| 940. |
Machine learning is |
| A. | The autonomous acquisition of knowledge through the use of computer programs |
| B. | The autonomous acquisition of knowledge through the use of manual programs |
| C. | The selective acquisition of knowledge through the use of computer programs |
| D. | The selective acquisition of knowledge through the use of manual programs |
| Answer» B. The autonomous acquisition of knowledge through the use of manual programs | |