CitiusTech Senior Software Engineer 1 Interview Questions and Answers

Creating a full flow of spring boot application to take input and update database

Q1. Discussion of first round code and some other technical questions including coding
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Q1. Basic questions on your profile and behavioural questions
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Q1. Salary negotiations and other perks discussion
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Q1. Java 8 , Microservices, AWS
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Q1. Questions on Core java, Spring boot and Angular (from resume profile)
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Q2. Discussion on Personal project
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Q1. Detailed Discussion on Current project, entire application workflow and design, implementations and questions like Why, What and How on the tools, technologies, approach and servers used.
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Q1. Question on familiarity with Agile
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Q2. What things a working day constitute of?
Ans. 
A working day for a software developer typically involves coding, debugging, attending meetings, collaborating with team members, and researching new technologies.
• Coding: Writing and testing code to develop software applications.

• Debugging: Identifying and fixing errors or bugs in the code.

• Meetings: Participating in team meetings to discuss project progress and updates.

• Collaboration: Working with team members to solve p...read more
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Q1. What are Java 8 new features? Which of these have you used?
Ans. 
Java 8 introduced several new features including lambda expressions, functional interfaces, streams, and default methods.
• Lambda expressions: Enable functional programming in Java by expressing instances of single-method interfaces (functional interfaces) concisely.

• Functional interfaces: Interfaces with a single abstract method, such as java.util.function.Function or java.util.function.Predicate.

• Streams: Allow for proce...read more
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Q2. Are you aware of Eviction Policy in Cache?
Ans. 
Eviction policy in cache determines which items should be removed when the cache reaches its maximum capacity.
• Eviction policy helps in managing the cache size and ensuring that the most relevant data is retained.

• Common eviction policies include LRU (Least Recently Used), LFU (Least Frequently Used), and FIFO (First In, First Out).

• For example, in LRU policy, the least recently accessed items are removed from the cache w
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Q3. LRU in cache? WAP to demonstrate LRU in Cache.
Ans. 
LRU (Least Recently Used) is a cache eviction policy where the least recently accessed items are removed from the cache when it reaches its capacity.
• LRU cache stores key-value pairs with a maximum capacity. When the cache is full, the least recently used item is evicted to make space for new items.

• Each time a key is accessed in the cache, it is moved to the front of the cache to indicate it was the most recently used i...read more
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Q4. Implement Factory Pattern.
Ans. 
Factory pattern is a creational design pattern that provides an interface for creating objects in a superclass, but allows subclasses to alter the type of objects that will be created.
• Create an interface or abstract class for the factory with a method to create objects

• Create concrete classes that implement the factory interface and return specific types of objects

• Client code uses the factory to create objects without k
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Q5. What are profiles in spring boot?
Ans. 
Profiles in Spring Boot allow you to define different configurations for different environments.
• Profiles are used to customize application behavior based on the environment it is running in.

• You can define profiles in application.properties or application.yml using 'spring.profiles.active' property.

• Common profiles include 'dev', 'test', and 'prod' for development, testing, and production environments.

• You can have differ...read more
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Q6. Which cache have you used? Why is Cache needed
Ans. 
I have used Redis and Memcached. Cache is needed to improve performance by storing frequently accessed data in memory.
• Used Redis for key-value storage and Memcached for object caching

• Cache is needed to reduce database load and improve response time

• Helps in storing frequently accessed data in memory for quick retrieval
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Q7. Have you worked on Kafka? How many partitions did your code have?
Ans. 
Yes, I have worked on Kafka. My code had 10 partitions.
• Yes, I have experience working with Kafka and have implemented code with multiple partitions.

• In one of my projects, I used Kafka with 10 partitions to distribute the workload efficiently.

• Having multiple partitions in Kafka helped in achieving high throughput and scalability for real-time data processing.
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String Reverse words, Repeated character count etc

Q1. This round was with manager, project details discussion and past experiences
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Q2. Behaviral questions
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Q1. Questions on core java, Collections, Oops concepts
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Q1. Explain singleton design pattern
Ans. 
Singleton design pattern ensures a class has only one instance and provides a global point of access to it.
• Ensures a class has only one instance by providing a global access point to it

• Uses a private constructor to restrict instantiation of the class

• Provides a static method to access the single instance

• Commonly used in scenarios where only one instance of a class is needed, such as database connections or configuration
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Round duration - 60 minutes
Round difficulty - Medium

Mcq + Data structures questions

Q1. 
Maximum Sum Subarray Problem Statement
Given an array of integers, find the maximum sum of any contiguous subarray within the array.
Example:
Input:
array = [34, -50, 42, 14, -5, 86]
Output:
137
Exp...read more
Ans. Brute Force Approach
1. Create a nested loop. The outer loop will go from i = 0 to i = n - k. This will cover the starting indices of all k-subarrays
2. The inner loop will go from j = i to j = i + k - 1. This will cover all the elements of the k-subarray starting from index i
3. Keep track of the maximum element in the inner loop and print it.
Space Complexity: O(1)Explanation:
O(1) because the extra space being used (looping vari...read more
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Round duration - 70 minutes
Round difficulty - Medium

Standard System Design round

Q1. Design a Doctor Appointment System and provide some test cases.
Ans. 
Tip 1 : Implement using OOPs 
Tip 2 : Try to tell your approach to the interviewer as much as you can side by side
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Round duration - 90 minutes
Round difficulty - Medium

Interview of DSA + OOPS + Databse(SQL query) + Operating System

Q1. 
Left View of a Binary Tree
Given a binary tree, your task is to print the left view of the tree. The left view of a binary tree contains the nodes visible when the tree is viewed from the left side.
Inpu...read more
Ans. Recursive Approach
This problem can be solved through recursion.We will maintain max_level variable which will keep track of maxLevel and will pass current level in recursion as argument. Whenever we see a node whose current level is more than maxLevel then we will print that node as that will be first node for that current level. Also update maxLevel with current level.
Space Complexity: O(n)Explanation:
O(N), where ‘N’...read more
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Q2. What is the difference between CHAR and VARCHAR2 data types in SQL?
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Q3. What are the various types of constructors in C++?
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Q4. What is the difference between overloading and overriding?
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Round duration - 60 minutes
Round difficulty - Easy

Hr round - normal hr questions + situational 

Thoughtworks community discussion

Q1. Why should we hire you?
Ans. 
Tip 1 : Read all Thoughtworks community page and be honest

Tip 2 : Be open-minded and answer whatever you are thinking, in these rounds I feel it is important to have opinion.

Tip 3 : The cross-questioning can go intense sometimes, think before you speak.
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