Deqode Interview Questions and Answers

Q1. Can you explain the concepts of Object-Oriented Programming (OOP)?
Ans. 
OOP is a programming paradigm based on the concept of objects, which can contain data in the form of fields and code in the form of procedures.
• OOP focuses on creating objects that interact with each other to solve problems.

• Key concepts include encapsulation, inheritance, and polymorphism.

• Encapsulation involves bundling data and methods that operate on the data into a single unit.

• Inheritance allows classes to inherit at...read more
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Q2. What is the Spring Boot framework?
Ans. 
Spring Boot is a framework for building Java-based applications with minimal configuration.
• Spring Boot simplifies the process of creating stand-alone, production-grade Spring-based applications.

• It provides a range of features including embedded servers, auto-configuration, and production-ready metrics.

• Spring Boot allows developers to quickly set up and run applications with ease, reducing the need for manual configurat...read more
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3 leetcode questions were given 2 hard and 1 medium .They just wanted to know your approach to tackling problems .

Q1. About c++ and python core. Basic things about keywords memory allocation etc
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Q2. Sql queries and dbms normalization, acid , designing of rdbms
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Q1. What is microservices different pattern?
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Q2. Communication of microservices
Ans. 
Communication between microservices is typically done through APIs or messaging systems.
• Microservices communicate with each other using APIs, such as REST or gRPC.

• Message brokers like Kafka or RabbitMQ are commonly used for asynchronous communication between microservices.

• Service mesh tools like Istio can help manage communication between microservices by handling service discovery, load balancing, and security.

• Event-d...read more
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Q3. Different annotations used in the springboot @Qualifier @Transactional etc
Ans. 
Annotations like @Qualifier and @Transactional are used in Spring Boot for dependency injection and transaction management.
• Annotations like @Qualifier are used to specify which bean to inject when multiple beans of the same type are present.

• Annotations like @Transactional are used to mark a method as transactional, allowing for rollback in case of exceptions.

• Annotations like @Component, @Service, @Repository are used f...read more
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Q4. Tell me about the exception handling in the spring boot project
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Q5. Coding question given an array like {1,2,3,4,5,6,7,8,9} we have to rotate the array element in pair of 3 like {3 2 1 6 5 4 9 8 7} in this way
Ans. 
Rotate an array in groups of three elements in reverse order.
• Split the array into chunks of 3: {1,2,3}, {4,5,6}, {7,8,9}.

• Reverse each chunk: {3,2,1}, {6,5,4}, {9,8,7}.

• Concatenate the reversed chunks to get the final array: {3,2,1,6,5,4,9,8,7}.

• Example: For input {1,2,3,4,5,6,7,8,9}, output is {3,2,1,6,5,4,9,8,7}.
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Q6. Different HTTP methods
Ans. 
HTTP methods are used to indicate the desired action to be performed on a resource.
• GET - Retrieve data from a server

• POST - Submit data to be processed by a server

• PUT - Update a resource on the server

• DELETE - Remove a resource from the server

• PATCH - Partially update a resource on the server
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There were 3 coding questions.

Oops is must.

Q1. Work experience in any cloud service platforms like AWS, Azure etc
Ans. 
I have extensive experience with AWS and Azure, focusing on data engineering, deployment, and cloud architecture.
• Designed and deployed scalable data pipelines using AWS Glue and Azure Data Factory.

• Implemented monitoring and alerting solutions using AWS CloudWatch and Azure Monitor.

• Utilized AWS S3 for data storage and Azure Blob Storage for unstructured data management.

• Worked with AWS Lambda and Azure Functions for serv...read more
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Q2. Logical questions
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Q1. Roles and responsibilities in previous organisation
Ans. 
In my previous role, I focused on optimizing data pipelines, ensuring system reliability, and collaborating with cross-functional teams.
• Developed and maintained data pipelines using Apache Airflow, improving data processing efficiency by 30%.

• Implemented monitoring solutions with Prometheus and Grafana to ensure system reliability and performance.

• Collaborated with data scientists to understand their requirements and opt...read more
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Q2. Salary discussion
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