Data Structure MCQ With Answers

  1. Process of inserting an element in stack is called __
  2. What is a bit array?
  3. Data structure that compactly stores bits -
  4. Which class in Java can be used to represent bit array?
  5. Which of the following bitwise operations will you use to set a particular bit to 1?
  6. What is a dynamic array?
  7. The number of items used by the dynamic array contents is its -
  8. How will you implement dynamic arrays in Java?
  9. What is the time complexity for inserting/deleting at the beginning of the array?
  10. What are some of the disadvantages of parallel arrays?
  11. What is a sorted array?
  12. What are some of the applications of sorted arrays?
  13. What is the difference between a normal(naive) array and a sparse array?
  14. What is sparsity of a matrix?
Data Structure MCQ

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We have listed below the Best Data Structure MCQ Questions, that check your basic knowledge of Data Structure. This Data Structure MCQ Test contains the best 25 Multiple Choice Questions. These MCQs are very popular & asked many times at Data Structure Interview/Exams. You have to select the right answer to every question to check your final preparation. Apart from this, you can also download below the Data Structure MCQ Questions and Answers PDF completely free.

Also, Read Best Data Structure Interview Questions.

  • Push
  • Evaluation
  • Pop
  • Create
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  • Data structure that compactly stores bits
  • An array in which most of the elements have the same value
  • Data structure for representing arrays of records
  • None of the mentioned
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  • Bloom filter
  • For the allocation of memory pages
  • Used by the Linux kernel
  • All of the mentioned
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  • BitArray
  • BitStream
  • BitSet
  • BitVector
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  • A variable size data structure
  • An array which is created at runtime
  • The memory to the array is allocated at runtime
  • An array which is reallocated everytime whenever new elements have to be added
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  • Capacity
  • Logical size
  • Random size
  • Physical size
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  • O(logn)
  • O(nlogn)
  • O(1)
  • O(n)
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  • Very little direct language support
  • Expensive to shrink or grow
  • Poor locality of reference for non-sequential access
  • All of the mentioned
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  • Arrays sorted in numerical order
  • Arrays sorted in alphabetical order
  • Elements of the array are placed at equally spaced addresses in the memory
  • All of the mentioned
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  • Commercial computing
  • Priority Scheduling
  • Discrete Mathematics
  • All of the mentioned
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  • Sparse array is memory efficient
  • Sparse array can hold more elements than a normal array
  • Sparse array is dynamic
  • A naive array is more efficient
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  • The fraction of non-zero elements over the total number of elements
  • The fraction of zero elements over the total number of elements
  • The fraction of total number of elements over the non-zero elements
  • The fraction of total number of elements over the zero elements
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  • Suffix array is used in string matching problems
  • Suffix array is always sorted
  • Suffix array contains all the suffixes of the given string
  • Suffix array is always unsorted
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  • True
  • False
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  • Commutative
  • Distributive
  • Associative
  • None of the mentioned
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  • Identity matrix
  • Inverse of A
  • Transpose of A
  • Square of A
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  • James Sylvester
  • Chris Messina
  • Harry Markowitz
  • Arthur Cayley
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