Mountblue Technologies SDE Interview Questions and Answers

Present a solution for a machine learning problem and create a PowerPoint presentation.

Q1. How would you find distinct from Employee type list using Java streams
Ans. 
Java streams can efficiently extract distinct employee types from a list using functional programming techniques.
• Use Stream API: Convert the list of employees to a stream using `stream()` method.

• Map to Employee Type: Use `map()` to transform the employee objects to their types (e.g., `employee.getType()`).

• Distinct Values: Apply `distinct()` to filter out duplicate types.

• Collect Results: Use `collect(Collectors.toSet())...read more
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Q2. Create employee type class and abstract class
Ans. 
Design an Employee class and an abstract class to represent different employee types in a software application.
• Create an abstract class 'Employee' with common attributes like name and ID.

• Define abstract methods like 'calculateSalary()' that subclasses must implement.

• Implement concrete classes like 'FullTimeEmployee' and 'PartTimeEmployee' that extend 'Employee'.

• Use polymorphism to handle different employee types unifor...read more
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Q1. ALL DSA QUESTIONS TYPE
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Q2. Java programming and oops questions
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Oops in python asked

Q1. What is inheritance, its types
Ans. 
Inheritance is a concept in object-oriented programming where a class inherits properties and behaviors from another class.
• Types of inheritance include single inheritance, where a class inherits from only one parent class, and multiple inheritance, where a class inherits from multiple parent classes.

• Inheritance allows for code reusability and promotes the concept of hierarchical classification.

• Example: Class B inheriti...read more
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Q2. What is your project, it drawback and scope of improvement
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Round duration - 180 minutes
Round difficulty - Medium

It was a long round of around 3 hours divided into 2 parts 
1. Aptitude(MCQ)
2. Coding(Subjective)

Q1. 
Maximum Meetings Selection
You are tasked with scheduling meetings in a single meeting room. Given N meetings, each with a start time Start[i] and end time End[i], determine the maximum number of meetings...read more
Ans. 
Given start and end times of meetings, find the maximum number of meetings that can be scheduled in a single room.
• Sort the meetings based on their end times in ascending order.

• Iterate through the sorted meetings and select the ones that do not overlap with the previously selected meetings.

• Keep track of the selected meetings and return their indices.
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Q2. 
Partition to K Equal Sum Subsets Problem
Given an array of integers and a positive integer 'K', determine if it is possible to divide the array into 'K' non-empty subsets such that the sum of elements in ...read more
Ans. 
The problem involves dividing an array into K subsets with equal sum.
• Use backtracking to try all possible combinations of subsets.

• Keep track of the sum of elements in each subset and check if they are equal to the target sum.

• Optimize by sorting the array in descending order and assigning elements to subsets greedily.

• Handle edge cases like when the sum of elements is not divisible by K.
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Q3. 
Merge k Sorted Linked Lists
You are provided with 'K' sorted linked lists, each sorted in increasing order. Your task is to merge all these lists into one single sorted linked list and return the head of ...read more
Ans. 
Merge k sorted linked lists into one single sorted linked list.
• Create a min-heap to store the heads of all linked lists.

• Pop the smallest element from the heap and add it to the result list.

• If the popped element has a next element, push it back to the heap.

• Repeat until all elements are merged into a single sorted list.
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Q4. 
Sort a "K" Sorted Doubly Linked List
Given a doubly-linked list with N nodes, where each node’s position deviates at most K positions from its position in the sorted list, your task is to sort this given ...read more
Ans. 
Sort a doubly linked list where each node's position deviates at most K positions from its position in the sorted list.
• Iterate through the doubly linked list and maintain a min-heap of size K+1 to keep track of the next smallest element.

• Remove the smallest element from the heap and add it to the sorted list. Update the heap with the next element from the removed node's next position.

• Continue this process until all node...read more
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Q5. 
Duplicate Subtrees Problem Statement
Given a binary tree, return the root values of all duplicate subtrees. Two subtrees are considered duplicate if they have the same structure with identical node values...read more
Ans. 
Find root values of duplicate subtrees in a binary tree.
• Traverse the tree in a bottom-up manner to identify duplicate subtrees.

• Use a hashmap to store the subtree structures and their frequencies.

• Return the root values of duplicate subtrees based on hashmap entries.
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Round duration - 25 minutes
Round difficulty - Medium

The technical Interview round was not at all difficult. The main focus of the interviewer was my projects and development fields.
He also asked some DS/Algo questions that were at a medium level, and some easy questions for database management.

Q1. Can you explain the concept of keys in database management systems?
Ans. 
Keys in database management systems are unique identifiers for rows in a table.
• Keys ensure data integrity by enforcing uniqueness and relationships between tables.

• Primary key uniquely identifies each record in a table (e.g. employee ID).

• Foreign key establishes a link between two tables by referencing the primary key of another table.
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Round duration - 15 minutes
Round difficulty - Easy

It took place on the same day as the technical round. It was quite the easiest round of all. The interviewer just asked me to introduce myself, projects I have worked on, my Internships experience, and were they internships paid.

Q1. Can you tell me about yourself?
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Q2. Can you tell me about the different projects that you have worked on?
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Q1. DSA ARRAY QUESTIONS EASY TO MEDIUM LEVEL
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Q1. What is oops and its applications and types of oops
Ans. 
OOPs stands for Object-Oriented Programming. It is a programming paradigm based on the concept of objects, which can contain data and code.
• OOPs allows for the organization of code into reusable components called objects.

• Encapsulation, inheritance, and polymorphism are key principles of OOPs.

• Examples of OOPs languages include Java, C++, and Python.
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