Magic Edtech Senior Performance Test Engineer Interview Questions and Answers

This was a very easy test. It can be crackable easily.

Q1. There is only 1 technical happened. Core java, angular, JUNIT
Ans. Basics of core java must, Angular if worked on it
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Q2. Junit test cases if worked previously.
Ans. 
Junit test cases should always be re-run to ensure code quality and prevent regression.
• Junit test cases should be run after every code change.

• Test cases should cover all possible scenarios and edge cases.

• Test cases should be automated to save time and ensure consistency.

• Test cases should be reviewed and updated regularly.

• Regression testing should be performed to ensure new changes do not break existing functionality.
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Q1. Salary discussion, Why this company kind of question.
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Q1. Basic technical questions were asked like oops concepts etc Comfortable in working with other technologies
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Q2. Describe oops concepts, function pointer
Ans. 
OOPs concepts are the principles of object-oriented programming. Function pointers are pointers that point to functions.
• OOPs concepts include encapsulation, inheritance, polymorphism, and abstraction.

• Encapsulation is the process of hiding implementation details and exposing only necessary information.

• Inheritance is the process of creating new classes from existing ones.

• Polymorphism is the ability of objects to take on ...read more
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Q3. Mutex, semaphor, socket programming,
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Q1. Different types of No SQL DBs
Ans. 
NoSQL databases are non-relational databases that store and retrieve data in a non-tabular format.
• Document-oriented databases (MongoDB, Couchbase)

• Key-value stores (Redis, Riak)

• Column-family stores (Cassandra, HBase)

• Graph databases (Neo4j, OrientDB)
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Q2. Different types of scaling
Ans. 
Scaling refers to the process of increasing or decreasing the capacity of a system to handle more or less load.
• Vertical Scaling: Adding more resources to a single node

• Horizontal Scaling: Adding more nodes to a system

• Load Balancing: Distributing the load across multiple nodes

• Database Sharding: Splitting a database into smaller parts to distribute the load

• Caching: Storing frequently accessed data in memory for faster acc
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Q1. Basic front-end questions
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