Synapse Design Lead Engineer Interview Questions and Answers

Precompilation unit is a compiled code that can be reused by multiple source files.

• Precompilation unit is created by the compiler from the source code.

• It contains the compiled code of header files and other dependencies.

• It can be reused by multiple source files, reducing compilation time.

• It is also known as precompiled header or PCH.

• Example: stdafx.h in Visual Studio is a precompiled header file.

The first 50 prime numbers are...

• Start with 2, the first prime number

• Check each odd number greater than 2

• Use trial division to check if a number is prime

• Stop when you have found 50 prime numbers

Sorting a file within a range

• Use a sorting algorithm like quicksort or mergesort

• Read the file and store the data in an array or list

• Sort the array or list within the given range

• Write the sorted data back to the file

I am a passionate software engineer with experience in developing web applications using various technologies.

• Experienced in developing web applications using HTML, CSS, JavaScript, and frameworks like React and Angular

• Proficient in backend development with Node.js, Express, and MongoDB

• Familiar with version control systems like Git and project management tools like Jira

I am a passionate software engineer with experience in developing web applications and a strong background in computer science.

• Experienced in developing web applications using technologies such as HTML, CSS, JavaScript, and React

• Strong background in computer science with knowledge in algorithms and data structures

• Passionate about learning new technologies and solving complex problems

I have worked on various projects including a web application for inventory management and a mobile app for fitness tracking.

• Developed a web application using React for inventory management

• Created a mobile app using Flutter for fitness tracking

• Implemented RESTful APIs for communication between frontend and backend systems

My area of interest is artificial intelligence and machine learning.

• I have experience in developing machine learning models for predictive analytics.

• I am interested in natural language processing and computer vision applications.

• I enjoy exploring deep learning algorithms and neural networks.

• I have worked on projects involving recommendation systems and image recognition.

C++ is a high-level programming language with features like object-oriented programming, templates, and memory management.

• C++ supports object-oriented programming concepts like encapsulation, inheritance, and polymorphism.

• Templates allow generic programming and code reusability.

• C++ provides low-level memory manipulation through pointers.

• Standard Template Library (STL) provides a collection of classes and functions for ...read more

Big Data refers to large and complex data sets that cannot be processed using traditional data processing methods.

• Big Data is characterized by the 3Vs - Volume, Velocity, and Variety.

• It requires specialized tools and technologies such as Hadoop, Spark, and NoSQL databases.

• Examples of Big Data include social media data, sensor data, and financial market data.

Program to reverse a string without using string function

• Iterate through the string from end to start and append each character to a new string

• Use a loop to swap the first and last characters, then move towards the middle until the entire string is reversed

• Convert the string to a character array, then swap the first and last elements until the entire array is reversed

I was responsible for designing and implementing the project's database and backend functionality.

• Designed the database schema and created the necessary tables

• Implemented the backend functionality using Java and Spring framework

• Collaborated with team members to integrate the frontend and backend components

• Tested the application and fixed any bugs or issues that arose

• Presented the project to the faculty and received pos

Keys in a database are unique identifiers used to establish relationships between tables and ensure data integrity.

• Keys are used to uniquely identify records in a database table.

• Primary keys are used to uniquely identify each record in a table.

• Foreign keys establish relationships between tables.

• Keys help enforce data integrity and maintain consistency in the database.

• Examples of keys include primary keys, foreign keys,

Issues in cloud include security, downtime, vendor lock-in, and data privacy.

• Security concerns such as data breaches and unauthorized access

• Downtime and service interruptions affecting business operations

• Vendor lock-in and limited flexibility in choosing cloud providers

• Data privacy and compliance with regulations such as GDPR and HIPAA

Developed a web application for online shopping using React and Node.js

• Implemented user authentication and authorization using JSON Web Tokens (JWT)

• Used MongoDB as the database to store user and product information

• Implemented a search feature using Elasticsearch to provide fast and accurate search results

• Integrated Stripe payment gateway for secure online transactions

The flow diagram of my final year project showcases the step-by-step process of its execution.

• The flow diagram illustrates the sequence of activities and their dependencies.

• It helps in understanding the overall structure and logic of the project.

• Each step in the diagram represents a specific task or action.

• Arrows indicate the flow of control or data between different steps.

• Decision points are represented by diamond-sha...read more

Normalisation reduces data redundancy and improves data integrity in a database.

• Prevents data duplication and inconsistencies

• Simplifies database maintenance and updates

• Improves query performance

• Enforces data integrity and consistency

• Follows best practices for database design

• Examples: breaking down a customer table into separate tables for orders, addresses, and payments

• Examples: creating a separate table for product ca...read more

I am a passionate software engineer with experience in developing web applications and a strong background in computer science.

• Experienced in developing web applications using technologies like HTML, CSS, JavaScript, and React

• Strong background in computer science with knowledge of algorithms and data structures

• Familiar with agile development methodologies and version control systems like Git

I am a problem solver, team player, quick learner, detail-oriented, and have strong communication skills.

• Problem solver - I enjoy tackling complex problems and finding innovative solutions.

• Team player - I work well with others and value collaboration in achieving goals.

• Quick learner - I am able to pick up new technologies and concepts quickly.

• Detail-oriented - I pay attention to the smallest details to ensure high-qual...read more

Yes, I have a Bachelor's degree in Computer Engineering.

• Bachelor's degree in Computer Engineering

• Experience in software development

• Knowledge of engineering principles applied to software design

My day was productive and challenging, with a lot of problem-solving and collaboration.

• Completed a major coding project ahead of schedule

• Participated in a brainstorming session with team members

• Solved a tricky bug in the codebase

• Attended a virtual meeting with stakeholders

No, I do not have any relatives in Pune. I have arranged for my accommodation in a rented apartment near the office.

• No relatives in Pune

• Accommodation arranged in a rented apartment near the office

Yes, My Passion Challenge test is a coding competition for software engineers.

• My Passion Challenge test is a coding competition that evaluates the coding skills of software engineers.

• It is designed to test problem-solving abilities, algorithmic thinking, and coding proficiency.

• Participants are given a set of coding challenges to solve within a specified time limit.

• The challenges can range from simple to complex, coveri...read more

Considering pursuing a Master's degree in Computer Science to deepen knowledge and advance career.

• Considering pursuing a Master's degree in Computer Science

• To deepen knowledge and advance career

• Examples: MS in Computer Science at XYZ University, online courses in AI and Machine Learning

Machine learning is a subset of artificial intelligence that enables machines to learn from data without being explicitly programmed.

• It involves training algorithms on large datasets to make predictions or decisions.

• It can be supervised, unsupervised, or semi-supervised.

• Examples include image recognition, natural language processing, and recommendation systems.

Prediction uses data analysis and statistical models to forecast future outcomes.

• Prediction involves collecting and analyzing data to identify patterns and trends.

• Statistical models are then used to make predictions based on the identified patterns.

• Predictions can be made for a wide range of applications, such as weather forecasting, stock market trends, and customer behavior.

• Accuracy of predictions can be improved by ...read more

Classification algorithms can be represented using flow charts.

• Classification algorithms are used to categorize data into different classes.

• Flow charts can be used to represent the decision-making process of classification algorithms.

• Examples of classification algorithms include decision trees, k-nearest neighbors, and support vector machines.

Deadlocks are situations where two or more processes are unable to proceed because each is waiting for the other to release a resource.

• Deadlocks occur when multiple processes are stuck in a circular waiting state.

• Prevention techniques include resource allocation strategies, deadlock detection, and avoidance algorithms.

• Examples of prevention techniques are using a resource allocation graph, implementing a banker's algor...read more

Banker's algorithm is a resource allocation and deadlock avoidance algorithm used in operating systems.

• It is used to prevent deadlocks by ensuring that the system never enters an unsafe state.

• It works by simulating the allocation of resources and checking if the system will remain in a safe state.

• It requires knowledge of the maximum resource needs of each process and the currently available resources.

• If a request for r...read more

Public and private IP addresses are used in computer networks. Public IPs are globally unique and accessible from the internet, while private IPs are used within a local network.

• Public IP is assigned by the Internet Service Provider (ISP) and is used to identify a device on the internet.

• Private IP is assigned by a local network administrator and is used to identify a device within a local network.

• Public IPs are globall...read more

A message is transferred in OSI layer through a process called encapsulation and decapsulation.

• The message is divided into smaller chunks called packets at the transport layer.

• Each packet is then encapsulated with headers containing necessary information.

• The encapsulated packets are then passed down to the network layer.

• At the network layer, the packets are further encapsulated with network layer headers.

• The encapsulat...read more

Polymorphism is the ability of an object to take on many forms. It allows objects of different classes to be treated as the same type.

• Polymorphism is achieved through method overriding and method overloading.

• It allows for code reusability and flexibility in object-oriented programming.

• Three conditions for polymorphism are inheritance, method overriding, and a common interface or base class.

Interoperability in inheritance and polymorphism allows objects of different classes to be used interchangeably.

• Inheritance allows a subclass to inherit properties and methods from a superclass.

• Polymorphism allows objects of different classes to be treated as if they are of the same class.

• Interoperability between inheritance and polymorphism allows objects of different classes to be used interchangeably.

• For example, a ...read more

Transaction logs are records of all the changes made to a database or file system.

• They help in recovering data in case of system failure or errors.

• They provide a history of all the transactions made to the database or file system.

• They are used for auditing and compliance purposes.

• Examples include SQL Server transaction logs, file system transaction logs, etc.

C is a procedural programming language while C++ is an object-oriented programming language.

• C is a procedural programming language, meaning it focuses on procedures or functions.

• C++ is an extension of C and adds object-oriented features like classes and inheritance.

• C++ supports polymorphism, encapsulation, and abstraction, which C lacks.

• C++ allows the use of standard template library (STL) for data structures and algor...read more

I have worked on various technologies including Java, Python, and SQL.

• Java - used for developing enterprise-level applications

• Python - used for scripting, web development, and data analysis

• SQL - used for managing and querying databases

Thrashing is a phenomenon in computer systems where excessive swapping of data between RAM and virtual memory occurs.

• Occurs when a computer spends more time swapping data between RAM and virtual memory than executing actual tasks

• Can be caused by insufficient RAM or poorly optimized programs

• Can lead to a significant decrease in system performance

• Example: A computer running multiple memory-intensive programs simultaneous

Java is platform independent while C++ is not.

• Java code is compiled into bytecode which can run on any platform with a JVM, while C++ code needs to be compiled separately for each platform.

• Java has automatic memory management through garbage collection, while C++ requires manual memory management.

• Java has built-in support for multithreading, while C++ requires external libraries.

• Java has a simpler syntax and is easier ...read more

Persistence is important for storing data permanently and ensuring data integrity.

• Persistent storage allows data to be saved even after the application is closed or the system is restarted.

• It ensures data integrity by preventing data loss in case of system failures.

• Persistent data can be accessed and shared across different sessions or devices.

• Examples: databases, file systems, cloud storage.

I found the GD to be well-organized and productive.

• The GD had a clear agenda and all participants were given equal opportunity to express their views.

• The facilitator ensured that the discussion stayed on track and encouraged active participation.

• I appreciated the diverse perspectives brought by the participants, which enriched the discussion.

• Examples: One of the participants shared a real-life case study that added dep...read more

I rate my HR interview as positive overall, with room for improvement in certain areas.

• Overall, I felt the HR interview was well-structured and professional.

• I appreciated the opportunity to discuss my skills and experiences in depth.

• However, I felt that some questions were repetitive and could have been more engaging.

• I believe the interview process could benefit from more focus on technical skills and problem-solving a...read more

I would recommend John and Sarah for their strong technical skills and ability to work well in a team.

• John has a deep understanding of algorithms and data structures, and consistently delivers high-quality code.

• Sarah is a quick learner and has a knack for problem-solving, often coming up with innovative solutions.

• Both John and Sarah have excellent communication skills and collaborate effectively with their peers.