GATE DA Artificial Intelligence – Full Mock Test-1 ⋆ CSE Study247

GATE DA Artificial Intelligence – Full Mock Test-1

Questions 71-75 of 100

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Question 71

MCQ · Single Correct 2 mark

Likelihood Weighting avoids rejecting samples by:

A Fixing evidence variables to observed values and weighting samples by likelihood w = prod P($e_{i}$ | parents) B Inverting CPT tables C Resampling evidence variables D Sampling only root nodes

Question 72

MCQ · Single Correct 2 mark

The Markov Blanket of a node X in a Bayesian Network consists of:

A Parents and Children only B Ancestors and Descendants C Parents, Children, and Spouses (other parents of X's children) D Siblings and Parents

Question 73

MCQ · Single Correct 2 mark

For a Bayesian Network with n binary variables where each node has at most k parents, the total number of CPT parameters required is bounded by:

A $O(n * 2^k)$ B $O(n^2)$ C $O(n^k)$ D $O(2^n)$

Question 74

MCQ · Single Correct 1 mark

Gibbs Sampling belongs to which category of approximate inference algorithms?

A Prior Sampling B Exact Variable Elimination C Rejection Sampling D Markov Chain Monte Carlo (MCMC)

Question 75

MCQ · Single Correct 2 mark

In a V-STRUCTURE (Collider) X -> Y <- Z, the path between X and Z is:

A Blocked when Y is observed B Always open C BLOCKED when Y is NOT observed, but BECOMES OPEN when Y (or its descendant) is observed D Always blocked