Choice Techlab Golang Developer Interview Questions and Answers

Q1. Implementation of opps concepts in go
Ans. 
Go supports object-oriented programming principles through struct types and methods.
• Go uses struct types to define objects with fields and methods.

• Methods can be defined on struct types to provide behavior to objects.

• Go does not have classes like traditional OOP languages, but it supports encapsulation, inheritance, and polymorphism through struct embedding and interfaces.
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Q2. Internal working of arrays and slices
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Arrays are fixed-size collections of elements of the same type, while slices are dynamic arrays with a flexible size.
• Arrays have a fixed size determined at compile time.

• Slices are dynamic arrays that can grow or shrink.

• Arrays and slices are both zero-indexed.

• Arrays are passed by value, while slices are passed by reference.

• Example: var arr [3]string = [3]string{"apple", "banana", "orange"}

• Example: var slice []string = [...read more
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Q3. Goroutines and their implementation
Ans. 
Goroutines are lightweight threads managed by Go runtime, allowing concurrent execution of functions.
• Goroutines are created using the 'go' keyword followed by a function call.

• They are multiplexed onto multiple OS threads by the Go runtime.

• Goroutines communicate using channels to share data safely.

• They are more efficient than traditional threads due to their lightweight nature.
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Q4. Some resume specific questions User authentication and authorization
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Q5. C++ vs go points
Ans. 
Go is simpler, more efficient, and easier to learn compared to C++.
• Go has a simpler syntax and is easier to read and write compared to C++.

• Go has built-in concurrency support with goroutines and channels, making it easier to write concurrent programs.

• Go has a garbage collector, which simplifies memory management compared to manual memory management in C++.

• Go compiles faster than C++ due to its simpler type system and l...read more
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Q6. How to process lacks of data efficiently.?
Ans. 
Efficiently process large amounts of data by using parallel processing, optimizing algorithms, and utilizing data structures.
• Utilize parallel processing techniques such as goroutines in Golang to process data concurrently.

• Optimize algorithms to reduce time complexity and improve processing speed.

• Use efficient data structures like maps, slices, and channels to store and manipulate data.

• Consider using caching mechanisms ...read more
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Assignment to make a employee data management software and enter lakhs of employeee data efficiently.

Q1. Golang Garbage collector
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Q2. Go routines and channels
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Practical application developmemt

Q1. Restful api methods
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Q2. Authentication authorization
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Q1. Golang basics like key features, concurrency including coding questions
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