Northcorp Software BD Manager Interview Questions and Answers

Questions on string and arrays both are moderate level questions on hacherrank type for 20 marks

Q1. Constructor chaining
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Q2. Hasmap and treemap
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2 questions solve on paper

Q1. Basic java questions and adv java ,sql,css,html questions
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Q.1 Pattern
1
*2*
**3**
Q. 2
write code to get sub array with max sum from given array.

Q1. Introduction Project Deatails Oops Concept Collection Exception Handling Abstract Class Functional Interface Spring Framework
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Q1. Oops Concepts ,Absrtraction,Polymorphism
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Q1. Work Experience
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Q2. Salary Expectations
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Q1. Products worked
Ans. 
Developed various products including web applications, APIs, and data analysis tools.
• Created a web application for tracking sales data using Django framework

• Built RESTful APIs for mobile applications using Flask

• Developed data analysis tools using pandas and numpy libraries
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Q1. Expectation and Joining Date
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Q1. More on projects done
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Q2. Team handling experience in past
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Q1. Working attitude and technical knowledge
Ans. How good you are in approaching problems and achieving solutions
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Basic aptitude round

Q1. 1.Java, OOPs concept 2. HTML,CSS,JS 3.DSA
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Q2. Explain your project
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Q1. Java Coding questions
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Q1. Can you d3scribe a complex backend problem you faced and how you solved it?
Ans. 
Faced a challenge with database performance, optimized queries, and implemented caching to enhance response times significantly.
• Identified slow queries using profiling tools like EXPLAIN in SQL.

• Refactored complex joins into simpler queries to reduce execution time.

• Implemented Redis caching for frequently accessed data, reducing database load.

• Monitored performance metrics post-implementation to ensure improvements.
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Q2. How do you ensure the security and scalability of a backend system?
Ans. 
Ensuring backend security and scalability involves implementing best practices in architecture, coding, and infrastructure management.
• Implement authentication and authorization mechanisms (e.g., OAuth, JWT) to secure APIs.

• Use HTTPS to encrypt data in transit and protect against man-in-the-middle attacks.

• Regularly update dependencies and libraries to patch known vulnerabilities.

• Employ rate limiting and throttling to pre...read more
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Q3. How do you handle database optimization and performance issues in a large-scale application?
Ans. 
I optimize databases by analyzing queries, indexing, and using caching strategies to enhance performance in large-scale applications.
• Analyze slow queries using tools like EXPLAIN to identify bottlenecks.

• Implement indexing on frequently queried columns to speed up data retrieval.

• Use caching mechanisms (e.g., Redis, Memcached) to reduce database load.

• Partition large tables to improve query performance and manageability.

• O...read more
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