MSBTE ETI MCQ 22618
Emerging Trend In Computer Engineering and Information Technology
UNIT-1 Artificial Intelligence
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| MSBTE ETI MCQ 22618 | emerging trend in computer engineering and information technology |
1. Which is not the commonly used programming language for artificial intelligence.
a.PROLOG
b. java
c. LISP
d. Perl
2. what stage of manufacturing process has been described as the mapping of function onto form.
a. Design
b. Distribution
c. Field service
d. Project management
3. What is state space
a. The whole problem
b. Your definition to a problem
c. A space where you know the solution
d. Representing you problem with variable and parameter.
4. Which kind of planning consist of successive representations of different levels of a plan.?
a.hierarchical planning
b.non-hierarchical planning
c.project management
d.none of the above
5. A production rule consist of
a. A set of rule
b. A sequence of steps
c. Arbitrary representation to problem
d. Both a & b
6. Which search method takes less time
a. depth first search
b.breadth first search
c.linear search
d.optimal search
7. what was originally called the imitation game by its creator.
a.LISP
b.The turning test
c.The logic theorist
d.cybernetics
8. a heuristic is a way of trying
a.to discover something or an idea embedded in a program
b.to search and measure how far a node in a search tree seems to be from a goal
c.to compare two nodes in a search tree to see if one is better than another
d.all of the above.
9. Programming a robot by physically moving it through the trajectory you want it to follow is called:
a. Robot vision control
b. Pick and place control
c. Continuous path control
d. Contact sensing control
10. To invoke LISP system, you must enter
a. AI
b. LISP
c. CL (Common LISP)
d. Both b & c
11. Which is the best way to go for Game playing problem
a. Linear approach
b. Random approach
c. Stratified approach
d. Heuristic approach
12. Which is not a property of representation of knowledge
a. Representational verification
b. Inferential efficiency
c. Representational adequacy
d. Acquisitional efficiency
13. A problem is first connected to its proposed solution during the ________ stage.
a. Conceptualization
b. Identification
c. Formalization
d. Testing
14. A process that is repeated, evaluated, and refined is called:
a. Diagnostics
b. Descriptive
c. Interpretive
d. Iterative
15. What is artificial intelligence
a. Putting your intelligence into computer
b. Programming with your own intelligence
c. Making a machine intelligent
d. Putting more memory into computer
16. What is the term used for describing the judgemental or commonsense part of problem-solving
a. Heuristic
b. Value based
c. Critical
d. Analytical
17. ______________ is an area of computer science that emphasizes the creation of intelligent
machines that work and react like humans.
a. Artificial intelligence
b. Machine learning
c. Deep learning
d. Neural network
18. _________ is a branch of the Computer Science that aims to develop intelligent computer
machines.
a. Artificial intelligence
b. Machine learning
c. Deep learning
d. Neural network
19. ___________is the father of AI.
a. John Anderson
b. John McCarthy
c. Micheal anderson
20. _________ is a message that contains relevant meaning, implication or input for decision and
action.
a. Information
b. data
21. ________,The systems which exhibit intelligent behavior, learn, demonstrate, explain, and
advice its users.
a. Artificial intelligence
b. Machine learning
c. Deep learning
d. Expert Systems
22. _____________ − Creating systems that understand, think, learn, and behave like humans.
a. Artificial intelligence
b. Machine learning
c. Deep learning
d. Neural network
23. ____________ is the form of valid reasoning, to deduce new information or conclusion from
known related facts and information.
a. Deductive reasoning
b. Inductive reasoning
24. __________ arrives at a conclusion by the process of generalization using specific facts or data.
a. Deductive reasoning
b. Inductive reasoning
25. ________ follows a top-down approach.
a. Deductive reasoning
b. Inductive reasoning
26. ________ follows a bottom-up approach.
a. Deductive reasoning
b. Inductive reasoning
27. In _______ conclusion must be true if the premises are true.
a. Deductive reasoning
b. Inductive reasoning
28. In _________, the truth of premises does not guarantee the truth of conclusions.
a. Deductive reasoning
b. Inductive reasoning
29. _______, particularly in artificial intelligence, may be characterized as a systematic search
through a range of possible actions in order to reach some predefined goal or solution.
a. Problem solving
b. Heuristic search
30.________is a process to interpret, acquire, select and then organize the sensory information that
is captured from the real world.
a. Problem solving
b. Heuristic search
c. Perception
31.A _______ is a system of signs having meaning by convention.
a. map
b. Direction
c. language
32._______ is a type of AI which is able to perform a dedicated task with intelligence.
a. Narrow AI
b. General AI
c. Super AI
33.Apple Siriis a good example of _______, but it operates with a limited pre-defined range of
functions.
a. Narrow AI
b. General AI
c. Super AI
34.IBM's Watson supercomputer also comes under _______, as it uses an Expert system
approach combined with Machine learning and natural language processing.
a. Narrow AI
b. General AI
c. Super AI
35._______ is a type of intelligence which could perform any intellectual task with efficiency like a
human.
a. Narrow AI
b. General AI
c. Super AI
36.________ is a level of Intelligence of Systems at which machines could surpass human
intelligence, and can perform any task better than human with cognitive properties.
a. Narrow AI
b. General AI
37.________ is still a hypothetical concept of Artificial Intelligence.
a. Narrow AI
b. General AI
c. Super AI
38._______ do not store memories or past experiences for future actions.
a. reactive machines
b. Limited memory
c. Theory of mind
d. Self_awareness
39.IBM's Deep Blue system is an example of ___________.
a. reactive machines
b. Limited memory
c. Theory of mind
d. Self_awareness
40.Google's AlphaGo is also an example of _____________.
a. reactive machines
b. Limited memory
c. Theory of mind
d. Self_awareness
41.Limited memory machines can store past experiences or some data for a short period of
time.
a. reactive machines
b. Limited memory
c. Theory of mind
d. Self_awareness
42.Theory of Mind AI should understand the human emotions, people, beliefs, and be able to
interact socially like humans.
a. reactive machines
b. Limited memory
c. Theory of mind
d. Self_awareness
43.Self-awareness AI is the future of Artificial Intelligence. These machines will be super
intelligent, and will have their own consciousness, sentiments, and self-awareness.
a. reactive machines
b. Limited memory
c. Theory of mind
d. Self_awareness
44.Machine learning “ALGORITHMS THAT PARSE DATA, LEARN FROM THAT DATA, AND
THEN APPLY WHAT THEY’VE LEARNED TO MAKE INFORMED DECISIONS”.
a. Machine learning
b. Deep learning
c. Artificial intelligence
D. Expert system
45.Deep Learning structures algorithms in layers to create an “artificial neural network” that
can learn and make intelligent decisions on its own.
a. Machine learning
b. Deep learning
c. Artificial intelligence
D. Expert system
46._________ is a subfield of machine learning.
a. Machine learning
b. Deep learning
c. Artificial intelligence
D. Expert system
47.Google’s AlphaGo is example of ___________.
a. Machine learning
b. Deep learning
c. Artificial intelligence
D. Expert system
48.Deep learning is a machine learning technique that teaches computers to do what comes
naturally to humans: learn by example.
a. Machine learning
b. Deep learning
c. Artificial intelligence
D. Expert system
49.A ________ is a rule of thumb, strategy , trick,simplification, or any other kind of device
drastically limits search for solutions.
a. Regular grammer
b. Heuristic
c. Expert sytem
50.The computational model should reflect “how” results were obtained.
51.In _________the goal is for the software to use what it has learned in one area to solve problems
in other areas.
a. Machine learning
b. Deep learning
c. Artificial intelligence
D. Expert system
52.Computer programs that mimic the way the human brain processes information is called as __
a. Neural network
b. Artificial intelligence
c. Expert system
