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Artificial Intelligence Probabilistic Reasoning in AI Aptitude Questions and Answers (MCQ)

Aptitude Questions and Answers (MCQ) | Probabilistic Reasoning in AI: This section contains aptitude questions and answers on Probabilistic Reasoning in AI.
Submitted by Monika Sharma, on April 15, 2020

1) Which of the following correctly defines the use of probabilistic reasoning in AI systems?
  1. In situations of uncertainty, probabilistic theory can help us give an estimate of how much an event is likely to occur or happen.
  2. It helps to find the probability whether the agent should do the task or not.
  3. It does not help at all.
  4. None of the above.

2) In which of the following mentioned statements, probabilistic reasoning is applicable?
  1. The number occurred on rolling a die.
  2. What will the temperature tomorrow?
  3. What card will get on picking a card from a fair deck of 52 cards?
  4. What output will we get on tossing a coin?


  1. Only iv.
  2. All i., ii., iii. and iv.
  3. ii. and iv.
  4. Only ii.

3) On which of the mentioned points does the Probabilistic Reasoning depend?
  1. Estimation
  2. Likelihood
  3. Observations
  4. All of the above

4) The results that we get after we apply probabilistic reasoning to a problem are,
  1. 100% accurate
  2. Estimated values
  3. Wrong values
  4. None of the above

5) State whether the following condition is true or false?
"The sum of all these probabilities for an experiment is always 1 because all these events/alternatives can happen only within this experiment."
  1. True
  2. False

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