Data structures Exam Prep Part 1- Recursion, Algorithm Analysis & Stack Questions with Ans, Exams of Software Engineering

Data structures Exam Prep Part 1- Recursion, Algorithm Analysis & Stack Questions with Answers

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Data structures Exam Prep
Part 1- Recursion, Algorithm
Analysis & Stack Questions
with Answers
Data structures can be said to be an ADT's ______.
1 specifications
2 implementation
3 abstraction
4 definition - Correct Answers: 2 implementation
The specifications of an ADT's operations indicate ______.
1 what the operations do
2 how to store the data in the ADT
3 how to carry out the operations
4 how to implement the operations - Correct Answers: 2 what the operations do
Which of the following is not an primitive data type in C++?
1 string
2 char
3 bool
4 double - Correct Answers: 1 string
In a recursive solution to a problem, we solve a problem P(n) by solving another
problem P(k) where
1 P(k) is smaller than P(n)
2 P(k) is same as P(n)
3 P(k) is the hardest part of P(n)
4 P(k) is a larger problem than P(n) - Correct Answers: 1 P(k) is smaller than P(n)
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Data structures Exam Prep

Part 1- Recursion, Algorithm

Analysis & Stack Questions

with Answers

Data structures can be said to be an ADT's ______. 1 specifications 2 implementation 3 abstraction 4 definition - Correct Answers: 2 implementation The specifications of an ADT's operations indicate ______. 1 what the operations do 2 how to store the data in the ADT 3 how to carry out the operations 4 how to implement the operations - Correct Answers: 2 what the operations do Which of the following is not an primitive data type in C++? 1 string 2 char 3 bool 4 double - Correct Answers: 1 string In a recursive solution to a problem, we solve a problem P(n) by solving another problem P(k) where 1 P(k) is smaller than P(n) 2 P(k) is same as P(n) 3 P(k) is the hardest part of P(n) 4 P(k) is a larger problem than P(n) - Correct Answers: 1 P(k) is smaller than P(n)

A(n) ______ is a C++ construct that enables a programmer to define a new data type. 1 data field 2 object 3 method 4 class - Correct Answers: 4 class The function int fact (int k) { return k * fact(k-1); if (k == 0) return 1; } 1 computes the factorial on an integer k passed to it as parameter 2 works for all non-negative values of k, but not for negative numbers. 3 returns the value 1 if it is passed a value of 0 for the parameter k 4 does not correctly handle its base case - Correct Answers: 4 does not correctly handle its base case When a function contains a function call to itself, such function is _____. 1 self-reference 2 reciprocal 3 repetitive 4 recursive - Correct Answers: 4 recursive The factorial of n is equal to 1 factorial (n-1) 2 n - factorial (n-1) 3 n * factorial (n-1)

4 instruction-truncated - Correct Answers: 3 constant time A stack is initially empty, then the following commands are performed: push 7, push 5, pop, push 10, pop, push 6 which of the following is the correct stack after those commands (assume the top of the stack is on the left)? 1 6 7 2 6 10 5 7 3 6 10 4 10 7 - Correct Answers: 1 6 7 If the array 6, 2, 7, 13, 8, 5 is added to a stack, in the order given, which number will be the first number to be removed from the stack? 1 8 2 2 3 6 4 5 - Correct Answers: 4 5 Which of the following is a good analogy of the ADT Stack? 1 a group of people playing musical chairs 2 a paper bag with colored poker chips 3 a pile of textbooks on your desk 4 people standing in a cafeteria line - Correct Answers: 3 a pile of textbooks on your desk We can measure the complexity of an algorithm that solves a computational problem by determining the number of ___ for an input of size n. 1 basic steps it requires 2 output statements it has

3 input statements it has 4 variables it uses - Correct Answers: 1 basic steps it requires All of the following operations of the ADT stack take no parameters except? 1 pop 2 push 3 isEmpty 4 top or peek - Correct Answers: 2 push The following code segment has ______ time complexity? for(int i = 0; i < n; i++){ for(int j = 0; j < n: j=j2){ int val = (ji); cout << val; } } 1 O(log n) 2 O(1) 3 O(n log n) 4 O(n) - Correct Answers: 3 O(n log n) Big-oh notation of a time complexity applies when: 1 an algorithm's time complexity changes with the number of elements 2 an algorithm's time complexity is always the same 3 an algorithm's time complexity can vary, but it won't be any worse than its big-oh time complexity 4 an algorithm's time complexity can vary, but it won't be any better than its big-oh time complexity - Correct Answers: 3 an algorithm's time complexity can vary, but it won't be any worse than its big-oh time complexity

3 first in, never out 4 last in, last out - Correct Answers: 2 last-in, first-out A recursive function should be designed to stop making recursive calls when it reaches its 1 base case 2 last parameter 3 closing curly brace 4 return statement - Correct Answers: 1 base case Which of the following construct does not allow programmer to define a new type in C++? 1 struct 2 array 3 class 4 typedef - Correct Answers: 2 array The ______ operation of the ADT stack retrieves and then removes the top of the stack. 1 pop 2 getTop 3 createStack 4 push - Correct Answers: 1 pop Which of the following is a good analogy of the ADT Stack? 1 a paper bag with colored poker chips 2 a group of people playing musical chairs 3 a pile of textbooks on your desk 4 people standing in a cafeteria line - Correct Answers: 3 a pile of textbooks on your desk

The Big-Oh notation depicts the ____ case scenario of an algorithm. 1 ordinary 2 best 3 average 4 worst - Correct Answers: 4 worst The item that is removed first from a stack is called the ______ of the stack. 1 base 2 top 3 front 4 prime - Correct Answers: 2 top A practical application of the stack is 1 all of these 2 the storage of local variables in a function call 3 the tracking of the order of calls and returns of functions in a program. 4 the tracking of the order of entry into and exit from nested loops - Correct Answers: 1 all of these The ______ operation of the ADT stack adds an item to the top of the stack. 1 push 2 pop 3 getTop 4 createStack - Correct Answers: 1 push If you implement a stack using an array, where would be the more appropriate place for the bottom element of the stack? 1 mid array for a binary search 2 at the end of the array 3 at the first element of the array