Bajaj Finserv Java Microservice Developer Interview Questions and Answers

Q1. Oops, mvc, design principles
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Simple aptitude test ............

3 question leetcode medium .......

Q1. Basic programming based questions
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Q1. Project based questions
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Q1. Basic personal questions
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Q1. Dependency injection
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Q2. What are oops concepts
Ans. 
Object-oriented programming concepts that focus on data encapsulation, inheritance, polymorphism, and abstraction.
• Encapsulation: bundling data and methods that operate on the data into a single unit (class)

• Inheritance: ability of a class to inherit properties and behavior from another class

• Polymorphism: ability to present the same interface for different data types

• Abstraction: hiding the complex implementation details
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Q1. Dotnet , MVC , SQL
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Q1. CTC and other discussion
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Q1. Discuss about your current project
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Q2. Questions related to current project
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Q3. How to monitor heap memory area? And how objects are removed from heap memory
Ans. 
Heap memory can be monitored using tools like profilers. Objects are removed from heap memory through garbage collection.
• Use profilers like VisualVM or Java Mission Control to monitor heap memory usage

• Analyze heap dumps to identify memory leaks and optimize memory usage

• Garbage collection automatically removes unreferenced objects from heap memory

• Different garbage collection algorithms like Mark and Sweep, Copying, and ...read more
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Q4. How to handle an application running on different instances?
Ans. 
Handling an application running on different instances involves load balancing, monitoring, and synchronization.
• Implement load balancing to distribute the workload evenly across instances.

• Monitor the performance and health of each instance to ensure optimal operation.

• Use synchronization techniques to maintain consistency and avoid conflicts between instances.

• Implement failover mechanisms to handle instances going offli...read more
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Q5. Can you design a load balancer which can handle multiple addition of new instances or pods?
Ans. 
Yes, a load balancer can handle multiple addition of new instances or pods.
• A load balancer distributes incoming traffic across multiple instances or pods.

• To handle multiple additions, the load balancer should be able to dynamically update its routing configuration.

• Load balancers can use various algorithms to distribute traffic, such as round-robin, least connections, or weighted distribution.

• Load balancers can also per...read more
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Q6. How to implements caching in your application?
Ans. 
Caching improves application performance by storing frequently accessed data in memory.
• Identify the data that needs to be cached

• Choose a caching strategy (e.g., in-memory cache, distributed cache)

• Implement caching logic in the application code

• Set appropriate cache expiration policies

• Handle cache invalidation when data changes
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Q1. Can you design a distributed system which can handle load of 1M requests per second?
Ans. 
Yes, a distributed system can handle 1M requests per second by using load balancing, horizontal scaling, and caching.
• Implement load balancing to distribute incoming requests across multiple servers.

• Use horizontal scaling by adding more servers to handle the increased load.

• Implement caching to store frequently accessed data and reduce the load on the backend.

• Optimize the system by using efficient algorithms and data str...read more
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