Artificial Intelligence Quiz

Play this quiz that will help you to excel in Artificial Intelligence certification exams, placements etc. This Artificial Intelligence quiz consist of 10 questions that you need to solve in 10 minutes. We’ve specially designed this quiz so that you can quickly acquaint to the pattern of questions you can be asked in placement drives, certification exams etc. This Artificial Intelligence test enables you to assess your knowledge of Artificial Intelligence.

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Artificial Intelligence MCQs

Practice Artificial Intelligence MCQ Questions, which will help you to prepare for digital technologies.

Artificial Intelligence Quiz

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Artificial Intelligence Quiz

1. What is the consequence between a node and its predecessors while creating bayesian network?

Functionally dependent
Conditionally independent
Both Conditionally dependant & Dependant

2. Which of the following is false?

ARGEX is an agricultural expert system that gives correct advice to farmers.
GERMWATCHER is used to control infections caused by bacteria.
MYSIN attempts to recommend appropriate therapies for patients with bacterial infections.
None of the above

3. The output at each node is called_____.

node value

4. Bayesian networks are a factorized representation of the full joint.

Can be true or false
Can not say

5. The process of removing detail from a given state representation is called ______

Information Retrieval
Mining of data

6. The nodes and links form the structure of the Bayesian network, and we call this the ?

structural specification
multi-variable nodes
Conditional Linear Gaussian distributions
None of the above

7. What is the action of task environment in artificial intelligence?


8. If we have variables x1, x2, x3,....., xn, then the probabilities of a different combination of x1, x2, x3.. xn, are known as?

Table of conditional probabilities
Causal Component
Actual numbers
Joint probability distribution

9. How many types of Move Ordering in Alpha-Beta pruning?


10. Which of the following are used for modeling times series and sequences?

Decision graphs
Dynamic Bayesian networks
Value of information
Parameter tuning