Ericsson Java Developer Interview Questions and Answers

Q1. How to pull the large amount of data in spring data jpa
Ans. 
To pull large amount of data in Spring Data JPA, use pagination, lazy loading, and query optimization techniques.
• Use pagination to limit the amount of data retrieved in each query

• Implement lazy loading to fetch data only when needed

• Optimize queries by using indexes, avoiding N+1 query problem, and fetching only necessary columns
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Q2. Write singleton class
Ans. 
Singleton class ensures only one instance of a class is created and provides a global point of access to it.
• Create a private static instance of the class

• Provide a private constructor to prevent instantiation

• Create a public static method to access the instance
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Oops, singleton, api, array problems, logical part, springboot, hibernate

Q1. Hibernate coding, sessionFactory, git, maven, oops concepts, multithreading, synchronisation, String
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Q2. Introduction about yourself, project flow, why do you want to switch
Ans. 
I am a Java Developer with experience in project flow and looking to switch for new challenges.
• I have been working as a Java Developer for the past 5 years.

• I have experience in developing and maintaining Java applications.

• I am familiar with the project flow and have worked on various stages of software development life cycle.

• I am seeking new opportunities to enhance my skills and work on challenging projects.

• I am looki...read more
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Q1. Tell me about your self
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Q2. Why you want to change the company
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Q3. Why you left your previous company
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Q1. Sql related ques mege into, rank,dense rank,queries of joins etc.
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Q2. Java 8 related ques optional and stream
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Q1. How to optimise fetching 1 lakh entries from db
Ans. 
Use pagination, indexing, caching, and query optimization to fetch 1 lakh entries efficiently from the database.
• Implement pagination to fetch data in smaller chunks

• Create indexes on columns frequently used in queries

• Use caching to store frequently accessed data

• Optimize queries by avoiding unnecessary joins and using appropriate indexes

• Consider using database-specific optimizations like query hints or stored procedures
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Q1. Reverse a linked list.
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Q2. Merge sort on a array/
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