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SDLC stands for Software Development Life Cycle.
It is a process followed by software development teams to design, develop, test and deploy software.
It includes phases like planning, analysis, design, implementation, testing, and maintenance.
It helps in delivering high-quality software that meets customer requirements and is completed within the budget and timeline.
Different models of SDLC include Waterfall, Agile, Spir...
Agile module is a part of the Agile methodology that focuses on a specific aspect of the project development process.
Agile modules are designed to be flexible and adaptable to changing project requirements.
Each module is typically focused on a specific feature or functionality of the project.
Modules are developed and tested in short iterations, allowing for quick feedback and adjustments.
The use of agile modules can he...
Smoke testing is a preliminary testing technique to check if the software build is stable enough for further testing.
It is a quick and shallow testing technique
It is performed to ensure that the critical functionalities of the software are working fine
It is usually done after a new build is received
It helps in identifying major issues early in the testing cycle
It is not a substitute for comprehensive testing
Sleep testing is a type of testing that evaluates the performance of a system or application under low or no activity conditions.
It is used to identify any issues that may arise when a system or application is idle for an extended period of time.
It can also be used to test the performance of a system or application during low-traffic periods, such as overnight or during weekends.
Examples of sleep testing include testin...
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posted on 10 Nov 2015
I appeared for an interview before Oct 2020.
Round duration - 40 minutes
Round difficulty - Medium
Asked about time complexity of algorithm, puzzles, DBMS, cutting edge technologies etc. What are indexes?
Given an array of integers ARR
of size N, consisting of 0s and 1s, you need to select a sub-array and flip its bits. Your task is to return the maximum count of 1s that can b...
Given an array of 0s and 1s, find the maximum count of 1s by flipping a sub-array at most once.
Iterate through the array and keep track of the maximum count of 1s obtained by flipping a sub-array.
Consider flipping a sub-array from index i to j and calculate the count of 1s in the resulting array.
Return the maximum count of 1s obtained by flipping a sub-array at most once.
Round duration - 20 minutes
Round difficulty - Medium
Asked 1 standard algorithm
You are provided with a 2-dimensional matrix having N
rows and M
columns, containing only 1s (land) and 0s (water). Your goal is to determine the number of islands in t...
Count the number of islands in a 2D matrix of 1s and 0s.
Iterate through the matrix and perform depth-first search (DFS) to find connected 1s.
Mark visited cells to avoid redundant traversal.
Increment island count whenever a new island is encountered.
Tip 1 : prepare for competitive programming
Tip 2 : know about standard algorithm
Tip 3 : must be good with dbms
Tip 1 : must have projects, which you can explain to them
Tip 2 : have things on resume, that you are totally certain about.
I applied via Approached by Company and was interviewed in Dec 2023. There were 3 interview rounds.
All three questions are leetcode medium level.
10th level aptitude problem.
I appeared for an interview in Mar 2021.
Round duration - 90 minutes
Round difficulty - Medium
A time range is given you can attempt with in that time and once started you cant resume .
Given a string STR
containing both lowercase and uppercase letters, the task is to sort the string so that the resulting string contains uppercase and lower...
Sort a string with alternate lowercase and uppercase letters in sorted order.
Create two separate arrays for lowercase and uppercase letters.
Sort both arrays individually.
Merge the two arrays alternately to form the final sorted string.
Given a string containing only parentheses and letters, your goal is to remove the minimum number of invalid parentheses to make the input string valid and return all possible v...
Given a string with parentheses and letters, remove minimum invalid parentheses to make it valid and return all possible valid strings.
Use BFS to explore all possible valid strings by removing parentheses one by one
Keep track of visited strings to avoid duplicates
Return all unique valid strings obtained after removing minimum number of parentheses
Calculate the Nth term in the Fibonacci sequence, where the sequence is defined as follows: F(n) = F(n-1) + F(n-2)
, with initial conditions F(1) = F(2) = 1
.
Calculate the Nth Fibonacci number efficiently using dynamic programming.
Use dynamic programming to store previously calculated Fibonacci numbers to avoid redundant calculations.
Start with base cases F(1) and F(2) as 1, then iterate to calculate F(N) efficiently.
Time complexity can be optimized to O(N) using dynamic programming.
Example: For N = 5, the 5th Fibonacci number is 5.
Given a non-negative integer 'K', determine the Kth row of Pascal’s Triangle.
K = 2
1 1
K = 4
1 4 6 ...
To find the Kth row of Pascal's Triangle given a non-negative integer K.
Create an array to store the values of the Kth row of Pascal's Triangle
Use the formula C(n, k) = C(n-1, k-1) + C(n-1, k) to calculate the values
Return the array as the output
Tip 1 : Basics of java should be clear
Tip 2 : Do maximum question on strings and array
Tip 1 : Atleast 1 good project
Tip 2 : Good ranks on websites like hackerrank , leetcode.
I applied via Campus Placement and was interviewed in Dec 2021. There was 1 interview round.
I am a software engineer with expertise in developing and maintaining software applications.
Proficient in programming languages such as Java, C++, and Python
Experienced in developing web applications using frameworks like Spring and Django
Skilled in database management and SQL queries
Familiar with software development methodologies like Agile and Scrum
Strong problem-solving and analytical skills
Excellent communication ...
Output details of recent 10 graduates from a table storing student details.
Sort the table by graduation date in descending order.
Select the top 10 rows from the sorted table.
Output the selected rows.
Hash table. No, it is not possible to create a data structure with all operations in O(1) time.
Hash table uses a hash function to map keys to indices in an array.
Insertion and deletion can be done in O(1) time on average.
Search retrieval can also be done in O(1) time on average.
However, worst-case scenarios can result in O(n) time complexity.
It is not possible to create a data structure with all operations in O(1) time...
ACID properties ensure database transactions are reliable. Two transactions can occur simultaneously using locking and isolation.
ACID stands for Atomicity, Consistency, Isolation, and Durability.
Atomicity ensures that a transaction is treated as a single unit of work, either all or none of it is executed.
Consistency ensures that a transaction brings the database from one valid state to another.
Isolation ensures that co...
Indexes are used to improve query performance. Multiple clustered and non-clustered indexes can be created on a table.
Indexes are used to quickly locate data without scanning the entire table.
Clustered index determines the physical order of data in a table.
Non-clustered index is a separate structure that contains a copy of the indexed columns and a pointer to the actual data.
A table can have only one clustered index, b...
Given an array and a number, find if the number can be generated using sum of array members and output those numbers.
Iterate through the array and check if the number can be generated using the sum of array members
Use a hash table to store the difference between the number and each array element
If the difference is found in the hash table, output the corresponding array elements
If no such combination is found, output '...
Time complexity of data structure operations
Arrays: O(1) for access, O(n) for search/insert/delete
Linked Lists: O(n) for access/search, O(1) for insert/delete
Stacks/Queues: O(1) for access/insert/delete
Hash Tables: O(1) for access/insert/delete (average case)
Trees: O(log n) for access/search/insert/delete (balanced)
Heaps: O(log n) for access/insert/delete
Graphs: Varies depending on algorithm used
Span is an inline element used for styling small portions of text, while div is a block-level element used for grouping and styling larger sections of content.
Span is an inline element, div is a block-level element
Span is used for styling small portions of text, div is used for grouping larger sections of content
Span does not create a new line, div creates a new block-level element
I applied via Campus Placement and was interviewed in Aug 2023. There were 3 interview rounds.
A simple aptitude test with basic questions asked
Simple logic based questions.
Basic coding questions
Use hashing to identify duplicate values in an array efficiently.
Utilize a hash set to track seen values. Example: For array [1, 2, 3, 2], add 1, 2, 3 to the set and identify 2 as a duplicate.
Iterate through the array and check if the value exists in the hash set. If it does, it's a duplicate.
Time complexity is O(n) due to single pass through the array, while space complexity is O(n) for the hash set.
I applied via Campus Placement and was interviewed in Feb 2024. There were 3 interview rounds.
Apti, sql, two coding questions
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