Bigscal Technologies Interview Questions and Answers

Q1. Define marker interface
Ans. 
A marker interface is an interface with no methods used to mark a class as having a particular property or behavior.
• Marker interfaces are used to provide metadata about a class.

• They are often used in frameworks and libraries to indicate that a class should be treated in a special way.

• Examples include Serializable, Cloneable, and Remote interfaces in Java.

• Marker interfaces can also be used to enforce design patterns, su
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Q2. Define thread concurrency
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Thread concurrency refers to multiple threads executing simultaneously in a program.
• Concurrency allows for efficient use of resources and can improve performance.

• However, it can also lead to race conditions and other synchronization issues.

• Synchronization mechanisms like locks and semaphores can be used to manage concurrency.

• Examples of concurrent programming languages include Java and Python's threading module.
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25 MCQ questions online with time limit

Create webapp . Frontend, Backend , data encryption

Q1. MCQ on SQL Queries and Core Java
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Q1. Basics of SQL and Java
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Puzzles, speed, logical questions

Q1. Self introduction
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Q2. Background and coding knowledge
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C java angular data coding test

Q1. Back ground check and certificate verification
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Q1. List and tuple differences
Ans. 
List is mutable, tuple is immutable in Python.
• Lists are mutable, meaning their elements can be changed after creation.

• Tuples are immutable, meaning their elements cannot be changed after creation.

• Lists are defined using square brackets [], tuples using parentheses ().

• Lists are typically used for collections of similar items, tuples for fixed collections of dissimilar items.
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Q2. Generators in python
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Generators in Python are functions that allow you to iterate over a sequence of items without storing them all in memory at once.
• Generators are created using a function with 'yield' instead of 'return'.

• They are used to generate a sequence of values lazily, one at a time.

• Generators are memory efficient as they do not store all values in memory at once.

• Example: def my_generator(): for i in range(5): yield i

• Example: ...read more
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