Data Structure and Algorithms (DSA) MCQs with answers Page - 56

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Q. ___________are used to facilitate the processing of information in an array.

  • (A) Pointers.
  • (B) Memory location.
  • (C) Records.
  • (D) Variables.

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Q. The comparison tree is also called as________.

  • (A) decision tree.
  • (B) binary tree.
  • (C) sequential tree.
  • (D) b+ tree.

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Q. A linked list whose last node points back to the list node instead of containing the null pointer________.

  • (A) circular list.
  • (B) linked list.
  • (C) circular doubly linked list.
  • (D) doubly linked list.

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Q. __________________ is a header list where the last node contains the null pointer.

  • (A) Circular Header linked list
  • (B) Grounded Header Linked list
  • (C) Linked list
  • (D) Linear Array

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Q. The _________ for a linked list is a pointer variable that locates the beginning of the list.

  • (A) anchor.
  • (B) base.
  • (C) footer.
  • (D) header.

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Q. The time factor when determining the efficiency of algorithm is measured by____________.

  • (A) counting microseconds.
  • (B) counting the number of key operations.
  • (C) counting the number of statements.
  • (D) counting the kilobytes of algorithm.

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Q. The space factor when determining the efficiency of algorithm is measured by___________.

  • (A) counting the maximum memory needed by the algorithm.
  • (B) counting the minimum memory needed by the algorithm.
  • (C) counting the average memory needed by the algorithm.
  • (D) counting the maximum disk space needed by the algorithm.

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Q. The Worst case occur in linear search algorithm when_____________.

  • (A) item is somewhere in the middle of the array.
  • (B) item is not in the array at all.
  • (C) item is the last element in the array.
  • (D) item is the last element in the array or is not there at all.

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Q. The complexity of linear search algorithm is____________.

  • (A) O(log n).
  • (B) O(n).
  • (C) O(n2).
  • (D) O(n log n).

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Q. The time required in best case for search operation in binary tree is ____________.

  • (A) O(n).
  • (B) O(2n).
  • (C) O(log n).
  • (D) O( log 2n).

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