- AA data structure that stores data in a random order
- BA data structure that stores data in a sorted order
- CA data structure that maps keys to values using a hash function
- DA data structure that links nodes together to form a list
Hash Tables - Quiz
- AO(1)
- BO(n)
- CO(log n)
- DO(n log n)
- ATo determine the order in which elements are stored in the table
- BTo map keys to unique indices in the table
- CTo sort the elements in the table
- DTo count the number of elements in the table
- ALinear probing
- B Binary search
- CDepth-first search
- DBreadth-first search
- A It can lead to clustering of elements in the table.
- B It requires more memory than separate chaining.
- C It requires more time to access elements than separate chaining.
- DIt cannot handle collisions efficiently.
- AIt is faster than open addressing.
- BIt results in a more compact table than open addressing.
- CIt can handle an arbitrary number of collisions.
- DIt requires less memory than open addressing.
- AThe number of elements in the table divided by the number of slots in the table.
- BThe number of collisions in the table divided by the number of elements in the table.
- CThe number of slots in the table divided by the number of elements in the table.
- DThe number of elements in the table divided by the size of the hash function.
- A Sorting data
- BStoring data in a stack
- CStoring data in a heap
- DImplementing a dictionary or map
- AWhen two or more keys map to the same index in the table.
- BWhen the hash function produces a negative index.
- CWhen the table is full and cannot store any more elements.
- DWhen the load factor of the table exceeds a certain threshold.
- AA function that maps every key to the same index in the table.
- BA function that maps every key to a unique index in the table.
- CA function that maps every key to a random index in the table.
- DA function that maps every key to an index based on its length.
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Hash Tables - Quiz
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- A. A data structure that stores data in a random order
- B. A data structure that stores data in a sorted order
- C. A data structure that maps keys to values using a hash function
- D. A data structure that links nodes together to form a list
Remarks:
Explanation: A data structure that maps keys to values using a hash function
- A. O(1)
- B. O(n)
- C. O(log n)
- D. O(n log n)
Remarks:
Explanation: O(1)
- A. To determine the order in which elements are stored in the table
- B. To map keys to unique indices in the table
- C. To sort the elements in the table
- D. To count the number of elements in the table
Remarks:
Explanation: To map keys to unique indices in the table
- A. Linear probing
- B. Binary search
- C. Depth-first search
- D. Breadth-first search
Remarks:
Explanation: Linear probing
- A. It can lead to clustering of elements in the table.
- B. It requires more memory than separate chaining.
- C. It requires more time to access elements than separate chaining.
- D. It cannot handle collisions efficiently.
Remarks:
Explanation: It can lead to clustering of elements in the table.
- A. It is faster than open addressing.
- B. It results in a more compact table than open addressing.
- C. It can handle an arbitrary number of collisions.
- D. It requires less memory than open addressing.
Remarks:
Explanation: It can handle an arbitrary number of collisions.
- A. The number of elements in the table divided by the number of slots in the table.
- B. The number of collisions in the table divided by the number of elements in the table.
- C. The number of slots in the table divided by the number of elements in the table.
- D. The number of elements in the table divided by the size of the hash function.
Remarks:
Explanation: The number of elements in the table divided by the number of slots in the table.
- A. Sorting data
- B. Storing data in a stack
- C. Storing data in a heap
- D. Implementing a dictionary or map
Remarks:
Explanation: Implementing a dictionary or map
- A. When two or more keys map to the same index in the table.
- B. When the hash function produces a negative index.
- C. When the table is full and cannot store any more elements.
- D. When the load factor of the table exceeds a certain threshold.
Remarks:
Explanation: When two or more keys map to the same index in the table.
- A. A function that maps every key to the same index in the table.
- B. A function that maps every key to a unique index in the table.
- C. A function that maps every key to a random index in the table.
- D. A function that maps every key to an index based on its length.
Remarks:
Explanation: A function that maps every key to a unique index in the table.