Capgemini
10+ Dhanlaxmi Bank Interview Questions and Answers
Q1. Q1. You don't have experience on kubernetes. Tell me 2 reason that would convince me to select on the basis of your knowledge. Q2. Steps to deploy kubernetes. Q3. Suddenly master node fails, what will be your a...
read moreAnswering questions related to Technical Lead interview
I have experience in containerization and orchestration tools like Docker and Swarm, which will help me quickly learn and adapt to Kubernetes
I have a strong understanding of distributed systems and cloud infrastructure, which are key components of Kubernetes architecture
Steps to deploy Kubernetes involve setting up a cluster, configuring nodes, installing Kubernetes components, and deploying applications using YAML files
I...read more
Q2. Give real time scenario where have you used abstract class and interface
Abstract classes and interfaces are used to achieve abstraction and provide a blueprint for classes to implement.
Used abstract class to create a base class for different types of vehicles, with common properties and methods.
Used interface to define a contract for different payment methods, with each method implementing its own logic.
Abstract classes are used when we want to provide a default implementation for some methods, while leaving others to be implemented by the derive...read more
Q3. How did you handle authentication and authorization in project
Authentication and authorization were handled using a combination of technologies and protocols.
Used OAuth 2.0 for authentication
Implemented role-based access control for authorization
Stored user credentials securely using bcrypt hashing algorithm
Used JSON Web Tokens (JWT) for session management
Implemented two-factor authentication for sensitive operations
Q4. How will you encrypt customer information including SSN and others
Customer information will be encrypted using industry-standard encryption algorithms and stored securely.
Use industry-standard encryption algorithms such as AES or RSA
Ensure that encryption keys are securely stored and managed
Implement secure storage mechanisms such as hashing and salting
Regularly review and update encryption protocols to ensure they remain secure
Q5. Do you have any experience with Jenkins and Cloud Deployement
Yes, I have experience with Jenkins and Cloud Deployment.
I have used Jenkins for continuous integration and continuous deployment.
I have experience with setting up Jenkins pipelines for automated deployment.
I have worked with cloud platforms like AWS and Azure for deploying applications.
I have used tools like Ansible and Terraform for infrastructure automation.
I have experience with containerization using Docker and Kubernetes for deployment.
I have worked with Git for version...read more
Q6. What and why IOC Container in spring
IOC Container is a core feature of Spring Framework that manages the dependencies between objects.
IOC stands for Inversion of Control
It is used to achieve loose coupling between objects
It allows objects to be created and wired together by an external framework
It reduces the amount of code needed for configuration and maintenance
Examples of IOC Containers in Spring are ApplicationContext and BeanFactory
Q7. Why we use @Value in spring boot
We use @Value in Spring Boot to inject values from properties files or environment variables.
Allows for external configuration of application properties
Values can be injected from properties files or environment variables
Can be used to inject values into fields, constructors, or methods
Example: @Value("${my.property}") private String myProperty;
Q8. Difference between SQL and Non-SQL database
SQL databases are relational and use structured data, while NoSQL databases are non-relational and use unstructured data.
SQL databases use tables with predefined schema, while NoSQL databases use documents, key-value pairs, or graphs.
SQL databases are better for complex queries and data analysis, while NoSQL databases are better for scalability and flexibility.
Examples of SQL databases include MySQL, Oracle, and PostgreSQL, while examples of NoSQL databases include MongoDB, C...read more
Q9. Have you used Logging mechanism
Yes, logging is an essential part of software development.
Logging helps in debugging and troubleshooting issues.
It provides a record of events and actions taken by the system.
It helps in monitoring system performance and identifying bottlenecks.
Examples of logging mechanisms include log4j, syslog, and ELK stack.
Q10. Why Serialization used
Serialization is used to convert complex data structures into a format that can be easily transmitted or stored.
Serialization allows data to be sent over a network or saved to a file.
It enables objects to be stored in a database or memory.
Serialization is used in web services, messaging systems, and distributed computing.
Examples include JSON, XML, and binary formats like Protocol Buffers and Apache Avro.
Q11. SAGA Design pattern and how you can implement it
SAGA design pattern is used for managing long-lived transactions in distributed systems.
SAGA pattern breaks down a long transaction into a series of smaller, more manageable steps.
Each step in the SAGA pattern is a separate transaction that can be rolled back if needed.
SAGA pattern ensures that the overall transaction is eventually consistent.
Examples of SAGA pattern implementation include using compensating transactions or event-driven architecture.
Q12. why we use Abstract and Interface.
Abstract classes and interfaces are used in object-oriented programming to achieve abstraction and define contracts.
Abstract classes allow for partial implementation and can have both abstract and concrete methods.
Interfaces define a contract that classes must adhere to, allowing for multiple inheritance.
Abstract classes are used when some common functionality needs to be shared among closely related classes.
Interfaces are used when different classes need to implement the sam...read more
Q13. Difference in normal threading nd executor framework
Executor framework is an advanced version of threading with better control and management.
Executor framework provides a higher level of abstraction than normal threading.
Executor framework allows for better control and management of threads.
Executor framework provides a thread pool that can be reused.
Executor framework provides better exception handling and error reporting.
Normal threading requires more manual management of threads.
Normal threading can lead to resource conten...read more
Q14. Difference between Dot Net and Dot Net Core
Dot Net is a software framework developed by Microsoft, while Dot Net Core is a cross-platform, open-source version of Dot Net.
Dot Net is a software framework developed by Microsoft, primarily for Windows platform.
Dot Net Core is a cross-platform, open-source version of Dot Net, allowing development on Windows, macOS, and Linux.
Dot Net Core is modular and lightweight compared to the traditional Dot Net framework.
Dot Net Core supports microservices architecture and containeriz...read more
Q15. How Springboot works internally
Springboot is a framework that simplifies the development of Java applications by providing a set of tools and conventions.
Springboot uses embedded servers like Tomcat or Jetty to run applications.
It auto-configures many components based on dependencies added to the project.
It uses annotations like @SpringBootApplication to define the main class of the application.
Springboot uses Spring Framework's Inversion of Control (IoC) and Dependency Injection (DI) principles.
It simplif...read more
Q16. DW scd types. Implementation of each type
DW SCD types and their implementation
DW SCD types are Slowly Changing Dimensions used to track changes in data over time
Type 1: Overwrite old data with new data
Type 2: Add new row with new data and keep old row for historical reference
Type 3: Add new column to track changes in data
Type 4: Combination of Type 2 and Type 3
Implementation depends on business requirements and data characteristics
Q17. What services you used in gcp
I have used various services in GCP including Compute Engine, Cloud Storage, Cloud SQL, and App Engine.
Compute Engine for virtual machines and infrastructure
Cloud Storage for object storage and backups
Cloud SQL for managed relational databases
App Engine for building and deploying web applications
BigQuery for data analytics
Cloud Pub/Sub for messaging and event-driven architectures
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