Dealmoney Securities DOT NET Developer Interview Questions and Answers

Opps Java preferred and sql related question.

Q1. Basic questions
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Q2. Future goals and plans
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Implement some LLD and use clean code formulas

Better be prepared for all deep dive questions about tech and project you worked

Round duration - 30 minutes
Round difficulty - Easy

Basic questioning about my work experiences, things I have developed and created, my work experience(internships). The challenges which I have faced and how I overcame them. Basic questions about some android concepts

Q1. What puzzles were asked during the interview, and can you describe the projects you discussed?
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Round duration - 45 minutes
Round difficulty - Medium

The interviewer was very friendly and asked about various things and tried to judge my understanding of the projects and how deep I know about the concepts I have implemented in my projects

Q1. RxJava
RxJava
Ans. 
RxJava is a popular library for composing asynchronous and event-based programs using observable sequences.
• RxJava provides a functional API for working with asynchronous data streams.

• It uses Observables to emit items and notify subscribers.

• Operators can be used to transform, filter, and combine these streams of data.

• Schedulers are used to control the threading behavior of these operations.

• Example: Creating an Observabl...read more
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Round duration - 40 minutes
Round difficulty - Medium

This was a system design round

Q1. Can you explain the fragment lifecycle in Android system design?
Ans. 
Fragment lifecycle in Android involves various states and methods for managing UI components.
• Fragments have several lifecycle states such as created, started, resumed, paused, stopped, and destroyed.

• Methods like onCreate(), onCreateView(), onResume(), onPause(), onStop(), onDestroy() are used to manage fragment lifecycle.

• Fragment lifecycle is closely tied to the hosting Activity's lifecycle.

• Example: When a fragment is ...read more
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Q1. Asked about my experience as an integration developer
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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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