Accenture interview experience Real time questions & tips from candidates to crack your interview

System Engineer

Accenture
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2 rounds | 4 Coding problems

Interview preparation journey

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Preparation
Duration: 3 months
Topics: Data Structures, Pointers, OOPS, System Design, Algorithms, Dynamic Programming,System Design
Tip
Tip

Tip 1 - Practice at Atleast 250 Questions
Tip 2 - Ex- Do at least 2 projects

Application process
Where: Company Website
Eligibility: Above 6 CGPA
Resume Tip
Resume tip

Tip 1 : Have some projects on resume.
Tip 2 : Do not put false things on resume.

Interview rounds

01
Round
Easy
Video Call
Duration45 Minutes
Interview date14 Aug 2021
Coding problem2

1. Kth largest element in the unsorted array

Moderate
10m average time
90% success
0/80
Asked in companies
FacebookUberMicrosoft

You are given an array consisting of 'N' distinct positive integers and a number 'K'. Your task is to find the kth largest element in the array.

Example:
Consider the array {2,1,5,6,3,8} and 'K' = 3, the sorted array will be {8, 6, 5, 3, 2, 1}, and the 3rd largest element will be 5.
Note:
1) Kth largest element in an array is the kth element of the array when sorted in non-increasing order. 

2) All the elements of the array are pairwise distinct.
Problem approach

You are given an array consisting of 'N' distinct positive integers and a number 'K'. Your task is to find the kth largest element in the array.

Try solving now

2. Maximum sum path from the leaf to root

Easy
10m average time
90% success
0/40
Asked in companies
GrofersOYOSprinklr

You are given a binary tree of 'N' nodes.

Your task is to find the path from the leaf node to the root node which has the maximum path sum among all the root to leaf paths.

For Example:

sample tree

All the possible root to leaf paths are:
3, 4, -2, 4 with sum 9
5, 3, 4 with sum 12
6, 3, 4 with sum 13
Here, the maximum sum is 13. Thus, the output path will be 6, 3, 4.

Note:

There will be only 1 path with max sum.
Problem approach

You are given a binary tree of 'N' nodes.
Your task is to find the path from the leaf node to the root node which has the maximum path sum among all the root to leaf paths.

Try solving now
02
Round
Easy
Video Call
Duration45 Minutes
Interview date14 Aug 2021
Coding problem2

1. Split Array

Moderate
0/80
Asked in companies
AdobeAccentureSprinklr

You are given an array ‘ARR’ of size ‘N’ and an integer ‘M’. You have to split the array into ‘M’ non-overlapping, non-empty subarrays such that the maximum of all the subarray’s sum is the minimum possible. Your task is to return the minimum of the maximum of all the subarray’s sum.

For example:
You are given ‘ARR’ = [7, 2, 6, 10, 8] and ‘M’ = 2. We split the array as [ 7, 2, 6] and [10, 8], the maximum of 7 + 2 + 6  and 10 + 8 is 18, which is the minimum possible.
Problem approach

You are given an array ‘ARR’ of size ‘N’ and an integer ‘M’. You have to split the array into ‘M’ non-overlapping, non-empty subarrays such that the maximum of all the subarray’s sum is the minimum possible. Your task is to return the minimum of the maximum of all the subarray’s sum.

Try solving now

2. Stack Implementation Using Array

Easy
20m average time
70% success
0/40
Asked in companies
Tata Consultancy Services (TCS)SprinklrCognizant

Stack is a data structure that follows the LIFO (Last in First out) principle. Design and implement a stack to implement the following functions:

1. Push(num): Push the given number in the stack if the stack is not full.

2. Pop: Remove and print the top element from the stack if present, else print -1.

3. Top: Print the top element of the stack if present, else print -1.

4. isEmpty: Print 1 if the stack is empty, else print 0.

5. isFull: Print 1 if the stack is full, else print 0.


You have been given ‘m’ operations which you need to perform in the stack. Your task is to implement all the functions of the stack.


Example:
We perform the following operations on an empty stack which has capacity 2:

When operation 1 1 is performed, we insert 1 in the stack.

When operation 1 2  is performed, we insert 2 in the stack. 

When operation 2 is performed, we remove the top element from the stack and print 2.

When operation 3 is performed, we print the top element of the stack, i.e., 3.

When operation 4 is performed, we print 0 because the stack is not empty.

When operation 5 is performed, we print 0 because the stack is size 1, which is not equal to its capacity.
Problem approach

Stack is a data structure that follows the LIFO (Last in First out) principle. Design and implement a stack to implement the following functions:

Try solving now

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