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Scala Interview Questions- Part 8
Scala is a powerful programming language that blends object-oriented and functional programming. It runs on the Java Virtual Machine (JVM) and is widely used in big data, backend systems, and real-time applications. Companies like Twitter, LinkedIn, and Netflix use Scala because it helps write clean, concise, and scalable code.
If you’re preparing for a Scala interview, it’s important to understand its syntax, core concepts, and functional features. In this guide, we’ve collected the most commonly asked Scala interview questions and answers.
These questions cover topics like case classes, immutability, pattern matching, higher-order functions, and collections. Whether you’re a fresher learning Scala or an experienced developer looking to sharpen your skills, this guide can support your preparation. Review these questions carefully, practice your answers, and get ready to make a strong impression in your next Scala interview.
Answer:
Auxiliary Constructors in Scala are secondary constructors declared using the keywords “this” and “def.” They are primarily used to provide constructor overloading capabilities. Similar to Java, Scala allows the implementation of different constructors to accommodate varying requirements. Each auxiliary constructor in Scala must have a different number of parameters or data types.
Answer:
Lists and Tuples are immutable, meaning their contents cannot be changed once they are created. Arrays, on the other hand, are mutable, allowing modifications to their elements after creation.
Answer:
Type inference in Scala refers to the ability of the Scala interpreter to deduce or automatically determine the data type of a variable or expression when the programmer does not explicitly specify it. This feature helps reduce boilerplate code and enhances code readability by allowing the compiler to figure out data types based on context.
Answer:
A partially applied function in Scala is an expression in which not all of the required arguments of the function are provided. Instead, some or none of the necessary arguments are given, resulting in a new function that takes the remaining arguments when called.
Example:
“`scala
def sum(x: Int, y: Int, z: Int) = x + y + z
val a = sum _ // Partially applied function
a(5, 10) // Calls the partially applied function with two arguments
“
Answer:
Scala Future is a monadic collection used to represent asynchronous computations. It initiates a background task and holds the potential or future value, which becomes available once the task is completed. Scala Future provides various operations for chaining computations and extracting values. Additionally, it offers callback functions like onComplete, onFailure, and onSuccess, making it a comprehensive tool for managing concurrent tasks.
The key difference between Scala Future and java.util.concurrent.Future is that Scala’s Future includes promises and callback operations, providing a more expressive and convenient way to work with asynchronous code. In contrast, Java’s Future primarily relies on the Future.get() method to retrieve results, lacking the rich set of callback mechanisms found in Scala Future.
Answer:
A closure in Scala is a function that “closes over” or captures variables from its enclosing lexical scope, making those variables accessible even after the enclosing scope has exited. In other words, a closure is a function that retains access to variables from its outer scope, allowing it to use those variables even when the outer scope is no longer active. Closures are a powerful feature in functional programming and are often used in Scala for creating flexible and encapsulated code.
Answer:
Arrays and Lists are both data structures in Scala, but they have several differences:
- Mutability:
- Array: Arrays in Scala are mutable, meaning you can modify their elements after creation.
- List: Lists are immutable, and once created, their contents cannot be changed. Instead, operations on lists typically produce new lists.
- Data Structure Type:
- Array: An array is a fixed-size, sequential data structure where elements are stored at contiguous memory locations.
- List: A list is a recursive, linked data structure that can grow or shrink dynamically as elements are added or removed. Lists are implemented as singly-linked lists.
- Variance:
- Array: Arrays are invariant, which means that an `Array[T]` is not considered a subtype or supertype of `Array[U]` even if `T` is a subtype of `U`.
- List: Lists are covariant, meaning that if `T` is a subtype of `U`, then `List[T]` is considered a subtype of `List[U]`.
- Size:
- Array: Arrays have a fixed size, which is determined at the time of creation. You cannot easily change the size of an array without creating a new one.
- List: Lists are variable-sized. Operations on lists, such as appending or removing elements, result in new lists being created, maintaining immutability.
Answer:
| Infix Operator Notation | Prefix Operator Notation | Postfix Operator Notation |
| The operator (a method in Scala) to invoke lies between the object and the parameter or parameters one wishes to pass to the method. | The method name is placed before the object on which one is invoking the method. | The method is placed after the object |
| Ex: 7 + 2 | Ex: -7 | Ex: “toLong” in “7 toLong” |
Answer:
Tuples can be created with lengths ranging from 2 to 22. There is no built-in support for tuples with lengths outside this range.
Answer:
“`scala
def g() { “ProjectPro projects are fun to read!” }
“`
The return type of the given code snippet is `Unit`. This is because the function `g()` does not explicitly specify a return type, and in Scala, when no return type is specified, the default return type is `Unit`, which corresponds to a void return type in other programming languages.
Answer:
Yield is used in combination with “for” comprehensions to create a new collection by applying a transformation to elements of an existing collection. When used within a “for” comprehension, “yield” transforms each element of the source collection and collects the results into a new collection of the same type. The resulting collection has the same size as the source collection but contains elements transformed by the specified function.
For example:
“`scala
val numbers = List(1, 2, 3, 4, 5)
val squaredNumbers = for (n <- numbers) yield n * n
“`
In this example, “yield” is used to square each number in the `numbers` list, and the result is a new list `squaredNumbers` containing `[1, 4, 9, 16, 25]`.
Answer:
The println() and print() functions in Scala are used to output data to the console, but they differ in one key aspect:
- println(): This function prints the argument it receives to the console and then adds a newline character (“\n”) at the end. Consequently, each call to `println()` displays its output on a new line.
- print(): This function also prints the argument it receives to the console but does not add a newline character at the end. As a result, multiple calls to `print()` will display their output on the same line, without creating new lines between them.
Answer:
“args” is an array that represents the command-line arguments passed to a Scala script or application. It allows you to access and process the values provided as arguments when running the Scala program from the command line. The “args” array is a commonly used way to interact with external input and configuration when developing Scala applications.