MCQs

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Overall MCQs for Reference

Which of the problems cannot be solved by backtracking?
a. N-queen problem
b. Subset sum problem
c. Hamiltonian circuit problem
d. Travelling salesman problem
Answer: d
Source:sanfoundry
Backtracking algorithm is implemented by constructing a tree of choices called?
a. State-space tree
b. State-chart tree
c. Node tree
d. Backtracking tree
Answer: a
Source:sanfoundry
What happens when the backtracking algorithm reaches a complete solution?
a. It backtracks to the root
b. It continues searching for other possible solutions
c. It traverses from a different route
d. Recursively traverses through the same route
Answer: b
Source:sanfoundry
Which of the following is not a backtracking algorithm?
a. Knight tour problem
b. N queen problem
c. Tower of Hanoi
d. M coloring problem
Answer: c
Source:geeksforgeeks
Backtracking can be used to solve:
a. Linear programming problems
b. Problems with a single feasible solution
c. Combinatorial optimization problems
d. Problems with a fixed set of solutions
Answer: c
Source:geeksforgeeks
Backtracking may lead to a solution that is:
a. Optimal
b. Suboptimal
c. Efficient
d. Deterministic
Answer: a
Source:geeksforgeeks
Backtracking is best suited for solving problems that involve:
a. Sorting elements
b. Searching in a sorted list
c. Dynamic programming
d. Exploring all possible solutions
Answer: d
Source:geeksforgeeks
Which of the following is an example of a problem solved using backtracking?
a. Finding the median of an array
b. Binary search in a sorted list
c. Sudoku puzzle solving
d. Calculating the sum of array elements
Answer: c
Source:geeksforgeeks
Which of the following is NOT a characteristic of the backtracking algorithm?
a. Recursive approach
b. Breadth-first exploration
c. Depth-first exploration
d. Trial and error
Answer: b
Source:geeksforgeeks
Backtracking involves:
a. Starting from the end of the problem
b. Using a stack to keep track of solutions
c. Iterating through all elements in a list
d. Going back to a previous step if the current step doesn’t work
Answer: d
Source:geeksforgeeks
The backtracking approach is based on which principle?
a. Divide and conquer
b. Trial and error
c. Greedy method
d. Dynamic programming
Answer: b
Source:testbook
What is the general outline of how backtracking works?
a. Choose a solution and stop
b. Explore all possible extensions recursively
c. Randomly choose any solution
d. Use greedy criteria to pick solution
Answer: b
Source:geeksforgeeks
Backtracking algorithm systematically explores all possible:
a. Configurations
b. Decisions
c. Outcomes
d. Errors
Answer: a
Source:testbook
What is the main drawback of backtracking?
a. It uses a lot of memory
b. It may be inefficient for large problems
c. It cannot find optimal solutions
d. It requires deterministic inputs
Answer: b
Source:wayground
What is the time complexity of backtracking in most cases?
a. Constant
b. Linear
c. Polynomial
d. Exponential
Answer: d
Source:wayground
In backtracking, what is the state-space tree?
a. Tree representing all possible choices at each step
b. Tree of recursive calls only
c. Tree of failure nodes
d. A binary search tree
Answer: a
Source:geeksforgeeks+1
The N-Queens problem is commonly solved using:
a. Dynamic programming
b. Backtracking
c. Branch and bound
d. Greedy algorithm
Answer: b
Source:interviewprep
Backtracking is often used for which type of problems?
a. Sorting
b. Constraint satisfaction
c. Basic arithmetic
d. Data aggregation
Answer: b
Source:sanfoundry
Which of the following is a pruning technique used to enhance backtracking efficiency?
a. Branch and bound
b. Heuristics
c. Memoization
d. Data caching
Answer: b
Source:testbook
Which of the following operations is characteristic of backtracking?
a. Move forward only
b. Move backward to previous state when current path fails
c. Linear traversal
d. No backtrack once decision is made
Answer: b
Source:testbook
Intelligent backtracking differs from basic backtracking by:
a. Never backtracking
b. Using heuristics to cut down search space
c. Randomly selecting next step
d. Exploring all possibilities
Answer: b
Source:sanfoundry+1
Which of the following problems is not suitable for backtracking?
a. Sudoku puzzle
b. 8-queens problem
c. Sorting an array
d. Hamiltonian path problem
Answer: c
Source:sanfoundry
What calls are commonly used in backtracking algorithms?
a. Iterative calls
b. Recursive calls
c. Concurrent calls
d. Parallel calls
Answer: b
Source:geeksforgeeks
Backtracking as a search strategy is best described as:
a. Breadth-first search
b. Depth-first search
c. Uniform-cost search
d. Best-first search
Answer: b
Source:studyglance
Which of the following best defines backtracking strategy?
a. Forward search only
b. Hill climbing
c. Trial-and-error with undoing steps
d. Genetic algorithm
Answer: c
Source:testbook
Backtracking can be seen as a refined form of which brute force approach?
a. Exhaustive search
b. Greedy search
c. Divide and conquer
d. Dynamic programming
Answer: a
Source:geeksforgeeks
What is the main purpose of backtracking?
a. To sort a list
b. To find all or some solutions to decision problems
c. To compress data
d. To balance trees
Answer: b
Source:geeksforgeeks
Backtracking can be effectively combined with which technique to reduce search space?
a. Constraint propagation
b. Sorting
c. Graph coloring
d. Hashing
Answer: a
Source:sanfoundry
Which problem-solving domain frequently uses backtracking methods?
a. Linear programming
b. Puzzle solving
c. Sorting algorithms
d. Searching in arrays
Answer: b
Source:testbook
Which data structure is commonly used to implement backtracking?
a. Queue
b. Stack
c. Hash table
d. Linked list
Answer: b
Source:examveda
Backtracking is NOT typically suitable for problems with:
a. Many solutions
b. Large search trees
c. Highly constrained solutions
d. Small state space
Answer: b
Source:wayground
What is the recommended approach when a solution path leads to failure in backtracking?
a. Stop immediately
b. Return to the previous decision point and try another option
c. Continue regardless
d. Restart from the beginning
Answer: b
Source:testbook
Which of the following is a classic example used to teach backtracking?
a. Dijkstra’s algorithm
b. N-Queens problem
c. QuickSort
d. BFS traversal
Answer: b
Source:interviewprep
In backtracking, choosing a viable next step is done through:
a. Heuristics
b. Random selection
c. Fixed order
d. Parallel processing
Answer: a
Source:sanfoundry
Backtracking algorithms are generally implemented using:
a. Iteration
b. Recursion
c. Delegates
d. Iterators
Answer: b
Source:geeksforgeeks
Which of these does NOT describe backtracking?
a. Depth-first exploration
b. Trial and error
c. Immediate greedy decision
d. Undoing a prior choice
Answer: c
Source:geeksforgeeks
The main benefit of backtracking is:
a. Finding an optimal solution quickly in all cases
b. Systematically exploring solution space without missing any solutions
c. Low time complexity
d. No recursion needed
Answer: b
Source:geeksforgeeks
How does backtracking handle dead ends in the search space?
a. Ignores them and moves forward
b. Goes back to previous nodes to try alternatives
c. Marks them as solutions
d. Uses memoization
Answer: b
Source:geeksforgeeks
What kind of problems is backtracking suitable for in AI?
a. Problems with no constraints
b. Problems with multiple constraints and complex decision trees
c. Problems that are purely numeric
d. Problems solved by sorting
Answer: b
Source:testbook
What is the difference between backtracking and brute force search?
a. Backtracking prunes non-feasible solutions early
b. Brute force prunes more aggressively
c. Backtracking never uses recursion
d. There is no difference
Answer: a
Source:geeksforgeeks
Which AI problem-solving approach typically employs backtracking?
a. Constraint satisfaction problems (CSPs)
b. Linear regression
c. Clustering
d. Sorting numeric values
Answer: a
Source:sanfoundry
Which of the following is NOT an advantage of backtracking?
a. Guarantees to find all solutions
b. Easy to implement recursively
c. Efficient for very large datasets
d. Works well with constraint satisfaction
Answer: c
Source:testbook
What kind of solution space does backtracking usually explore?
a. Infinite
b. Finite and discrete
c. Continuous
d. Large and unbounded
Answer: b
Source:geeksforgeeks
In context of AI, backtracking is mainly used for:
a. Numerical optimization
b. Search problems involving combinatorial constraints
c. Real-time data processing
d. Linear data sorting
Answer: b
Source:testbook
What determines the path backtracked in the algorithm?
a. The last decision point made
b. The first decision point only
c. Randomly selected nodes
d. Nodes with least constraints
Answer: a
Source:testbook
Which of the following best describes the term “pruning” in backtracking?
a. Reducing unnecessary search branches
b. Multiplying branches
c. Reversing the search order
d. Expanding all nodes
Answer: a
Source:testbook
When is backtracking typically terminated?
a. When all possibilities are exhausted or a solution is found
b. After exploring half the possibilities
c. When the search tree grows too large
d. Only after finding the optimal solution
Answer: a
Source:geeksforgeeks
Backtracking algorithm is a kind of:
a. Breadth-first search
b. Depth-first search
c. Hill climbing
d. Genetic algorithm
Answer: b
Source:geeksforgeeks
What is a state in backtracking?
a. A possible solution or partial solution at a point in the search
b. A fixed value to use
c. The final solution only
d. A historical record
Answer: a
Source:geeksforgeeks
Backtracking can be improved by combining with:
a. Forward checking
b. Sorting
c. Hashing
d. Simple recursion
Answer: a
Source:sanfoundry

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