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BOLD Technology Systems
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Request pipeline is the sequence of classes and modules that process an incoming HTTP request in ASP.NET.
Request pipeline in ASP.NET is responsible for handling incoming HTTP requests and generating responses.
The order of classes in the request pipeline includes modules like URL routing, authentication, authorization, and finally the handler that generates the response.
Access specifiers in C# are keywords used to speci...
Filter is a feature in ASP.NET that allows you to execute logic before or after an action method is called.
Filters are used to perform logic before or after an action method is called in ASP.NET MVC.
There are five types of filter classes in ASP.NET: Authorization filters, Action filters, Result filters, Exception filters, and Resource filters.
The order of filter classes is: Authorization filters, Action filters, Result...
The difference between == and Equals() in C# is that == is used for comparing reference equality, while Equals() is used for comparing value equality.
== is used to compare reference equality, meaning it checks if two objects reference the same memory location.
Equals() is used to compare value equality, meaning it checks if the values of two objects are the same.
Example: string str1 = "hello"; string str2 = "hello"; boo...
What people are saying about BOLD Technology Systems
I applied via Job Fair and was interviewed in Dec 2024. There were 3 interview rounds.
OA test 3 Dsa questions 2 medium 1 hard you have to solve 1.5 questions in 120 minutes
DSA 2 question
1 -> Find Lca and traverse a tree path available on GFG
2 -> LinkedList pallindrome check (you have to solve that in 0(1) space complexity)
The exam duration is one and a half hours.
The total exam time is one and a half hours.
It encompasses all topics related to full stack development.
In two years, I see myself as a senior software developer leading a team on innovative projects.
Advancing to a senior software developer role
Leading a team on new and innovative projects
Continuing to enhance my technical skills through ongoing learning and training
LRU Cache is a data structure that maintains a list of items in order of most recently used to least recently used.
Implement using a doubly linked list and a hashmap for efficient operations
When an item is accessed, move it to the front of the list
When the cache is full, remove the least recently used item from the end of the list
HAckerrank based test
I was interviewed in May 2024.
It was having english and maths questions
Code was easy kindly do pratice
I haven't appeared but this website asking me everytime that's why giving review but I wanted to know what are the ratings for this company
I was interviewed in Apr 2022.
Round duration - 30 minutes
Round difficulty - Easy
This was just a screening round to check my intention and communication skills. They just asked me why was I looking for a job change, and told me a little bit about the profile.
Round duration - 45 Minutes
Round difficulty - Easy
Since I had applied for a full stack profile, this round mainly consisted of front-end questions and some basic DSA questions. They had scheduled a call in the afternoon around 14:00 and the call was on Google meet where I had to share my screen and type in some code, once I was happy with my code and it worked fine, I had to paste it into the google doc. Actually, they had outsourced the interview rounds to the Interview Vector.
Implement an iterator called ‘FLATTEN_2D’ to transform a two-dimensional array ‘ARR_2D’ into a one-dimensional array ‘ARR_1D’. The iterator should support the following operations...
Basic DFS.
- Create an empty array and call it the result.
- Loop over the content of the array if it's a number push it into the result array else recursively call the function.
- Return the resultant array.
Round duration - 90 Minutes
Round difficulty - Easy
This round consisted of multiple easy DSA questions, some frontend questions, and one thought experiment related to design. Again, this round was conducted around 14:00 in the afternoon.
Your task is to determine if two given strings are anagrams of each other. Two strings are considered anagrams if you can rearrange the letters of one string to form the...
- Compare length of the strings and if they are not equal return false.
- Take a hashmap and store the number of occurrences of each letter in the first string.
- Iterate over the second string and if the ith character is not in the hashmap or the frequency is 0 then return false.
- return true.
Tip 1 : DSA is important, practice around 150+ questions minimum.
Tip 2 : For the front end, JS is a must! Learn the basics and how it works under the hood.
Tip 3 : Learn SOLID and Design patterns.
Tip 1 : Keep it short and simple. Specify your projects and/or experiences.
Tip 2 : Even naming your resume helps, instead of naming it "resume.pdf" name it like "____resume.pdf". It actually helps recruiters and I got positive feedback for this.
I applied via Campus Placement and was interviewed in Aug 2024. There were 3 interview rounds.
Simple DSA ques. and some mcqs. were easy if you are a cp guy
Use stack to keep track of indices of opening parentheses, update max length when closing parentheses found
Use a stack to keep track of indices of opening parentheses
When a closing parentheses is found, update max length by calculating the difference between current index and top of stack
Handle edge cases like extra closing parentheses or unmatched opening parentheses
Example: Input: "(()()", Output: 4 (for "()()")
Find the longest palindromic substring in a given string.
Use dynamic programming to check for palindromes within the string.
Start by checking for palindromes of length 1 and 2, then expand to longer substrings.
Keep track of the longest palindrome found so far.
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