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I was interviewed in Jan 2025.
I applied via Approached by Company and was interviewed in Sep 2024. There was 1 interview round.
Oops based question and defect life cycle
I was interviewed in May 2024.
Memory management involves allocating and deallocating memory efficiently to prevent memory leaks and optimize performance.
Use dynamic memory allocation functions like malloc, calloc, and realloc to allocate memory.
Always free memory using the free function to prevent memory leaks.
Avoid memory fragmentation by using memory pools or memory allocators.
Implement garbage collection for automatic memory management in langua
Krios info Solution interview questions for popular designations
I was interviewed before Feb 2024.
I have extensive experience in IOS development, strong problem-solving skills, and a proven track record of delivering high-quality projects on time.
10+ years of experience in IOS development
Strong knowledge of Swift and Objective-C
Proven track record of delivering high-quality projects on time
Excellent problem-solving skills
Experience working in Agile development environments
Strong communication and teamwork skills
I applied via Approached by Company and was interviewed before Nov 2021. There were 3 interview rounds.
I am a Java Developer with 5 years of experience in developing web applications.
I have a strong understanding of Java programming language and its frameworks like Spring and Hibernate.
I have experience in developing RESTful APIs and integrating with databases like MySQL and Oracle.
I am familiar with front-end technologies like HTML, CSS, and JavaScript.
I have worked on projects involving e-commerce, finance, and health...
OOPs concepts are the fundamental principles of object-oriented programming.
Abstraction: Hiding implementation details and showing only necessary information.
Encapsulation: Binding data and methods together to protect data from outside interference.
Inheritance: Acquiring properties and behavior of a parent class by a child class.
Polymorphism: Ability of an object to take many forms or have multiple behaviors.
Example: A...
Java 8 introduced several new features including lambda expressions, streams, and default methods.
Lambda expressions for functional programming
Streams for efficient processing of large data sets
Default methods for backward compatibility
Date and Time API for improved handling of date and time
Optional class for null checks
Nashorn JavaScript engine for improved performance
Parallel array sorting for improved performance
Typ...
Dependency Injection is a design pattern that allows objects to be injected into a class rather than creating them within the class.
Dependency Injection helps to reduce tight coupling between classes
It makes code more modular and easier to test
There are three types of Dependency Injection: Constructor Injection, Setter Injection, and Interface Injection
Example: Instead of creating a database connection object within a ...
HashSet is a collection that uses hashing to store elements. It does not allow duplicates.
HashSet internally uses a HashMap to store elements.
The elements are stored as keys in the HashMap with a dummy value.
When an element is added, its hashcode is calculated and used to find the bucket in the HashMap.
If the bucket is empty, the element is added as a key with a dummy value.
If the bucket is not empty, the element is co...
Common problems faced during development include bugs, integration issues, and performance optimization.
Bugs in the code causing unexpected behavior
Integration issues with other systems or modules
Performance optimization to improve speed and efficiency
Lack of clear requirements leading to scope creep
Difficulty in debugging complex code
Version control conflicts with team members
Seeking new challenges, growth opportunities, better work-life balance, higher salary, or improved company culture.
Looking for new challenges and opportunities to grow professionally
Seeking better work-life balance or improved company culture
Interested in higher salary or better benefits
Want to work with new technologies or in a different industry
Relocation or personal reasons
The expectations of CTC for a SAP Development Consultant vary based on experience, skills, and industry standards.
CTC expectations depend on the level of expertise and years of experience in SAP development.
Industry standards and market demand also influence CTC expectations.
Additional skills and certifications can lead to higher CTC expectations.
Location and cost of living factors may impact CTC expectations.
Negotiati...
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posted on 14 May 2022
I applied via Naukri.com and was interviewed before May 2021. There was 1 interview round.
posted on 31 May 2022
I was interviewed in Sep 2021.
Round duration - 180 min
Round difficulty - Hard
Given two strings STR1
and STR2
, determine the length of their longest common subsequence.
A subsequence is a sequence that can be derived from another sequen...
The problem involves finding the length of the longest common subsequence between two given strings.
Use dynamic programming to solve the problem efficiently.
Create a 2D array to store the lengths of common subsequences of substrings.
Iterate through the strings to fill the array and find the length of the longest common subsequence.
Example: For input STR1 = 'abcde' and STR2 = 'ace', the longest common subsequence is 'ac
A thief is planning to rob a store and can carry a maximum weight of 'W' in his knapsack. The store contains 'N' items where the ith item has a weight of 'wi' and a value of...
Yes, the 0/1 Knapsack problem can be solved using dynamic programming with a space complexity of not more than O(W).
Use a 1D array to store the maximum value that can be stolen for each weight capacity from 0 to W.
Iterate through each item and update the array based on whether including the item would increase the total value.
The final value in the array at index W will be the maximum value that can be stolen.
You are given an unsorted array containing 'N' integers. Your task is to find the 'K' largest elements from this array and return them in non-decreasing order.
T...
Yes, the problem can be solved in less than O(N*log(N)) time complexity using the Quick Select algorithm.
Implement Quick Select algorithm to find the Kth largest element in O(N) time complexity.
Partition the array around a pivot element and recursively search in the left or right partition based on the position of the pivot.
Once you find the Kth largest element, return all elements greater than or equal to it in non-de
Round duration - 60 Minutes
Round difficulty - Medium
Given a binary tree with 'N' nodes, determine the size of the largest subtree that is also a Binary Search Tree (BST).
A Binary Search Tree (BST) is def...
Find the size of the largest BST subtree in a binary tree.
Traverse the tree in a bottom-up manner to check if each subtree is a BST.
Keep track of the size of the largest BST found so far.
Recursively check if the current subtree is a BST and update the size accordingly.
Given 'N' 2-dimensional matrices and an array ARR
of length N + 1
, where the first N
integers denote the number of rows in each matrix and the last integer represents t...
Find the minimum number of multiplication operations required to multiply a series of matrices together.
Use dynamic programming to solve this problem efficiently.
Create a 2D array to store the minimum number of operations needed to multiply matrices.
Iterate through different combinations of matrices to find the optimal solution.
Consider the dimensions of the matrices to determine the number of operations required.
Calcu...
Given a linked list consisting of 'N' nodes and an integer 'K', your task is to rotate the linked list by 'K' positions in a clockwise direction.
Li...
Rotate a linked list by K positions in a clockwise direction.
Traverse the linked list to find the length and the last node.
Connect the last node to the head to form a circular linked list.
Find the new head by moving (length - K) steps from the last node.
Break the circular list at the new head to get the rotated linked list.
Round duration - 45 minutes
Round difficulty - Easy
You are provided with a string STR
of length N. The task is to find the longest palindromic substring within STR
. If there are several palindromic substring...
Given a string, find the longest palindromic substring within it.
Iterate through the string and expand around each character to find palindromes
Keep track of the longest palindrome found so far
Return the longest palindromic substring
Tip 1 : be thoroughly prepared with dsa
Tip 2 : focus on dbms.
Tip 3 : be prepared with skills mentioned in resume
Tip 1 : mention some good projects
Tip 2 : don't put false statement
posted on 15 Aug 2023
I applied via Campus Placement and was interviewed in Jul 2023. There were 3 interview rounds.
IT WAS 3RD CODING ROUND IN WHICH 3 CODING QUESTIONS AND DURATION 75MIN
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