By default, Scala supports immutable map and to make use of the mutable map, programmers have to import the scala.collection.mutable.Map class explicitly. Since Streams can be unbounded, and all the values are computed at the time of access, programmers need to be careful on using methods which are not transformers, as it may result in java.lang.OutOfMemoryErrors. 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To overcome this situation, Scala compiler provides a mechanism “tail recursion” to optimize these recursive functions so that it does not create new stack space, instead uses the current function stack space. Scala Map is a collection of key value pairs wherein the value in a map can be retrieved using the key. We provide the default values for all the parameters or parameters which we want to be used as implicit. Hence, you have completed the first part of Scala Interview Questions. Q2. You will get comprehensive knowledge on Scala Programming language, HDFS, Sqoop, Flume, Spark GraphX and Messaging System such as Kafka. Learn Scala interview questions and answers for freshers and one, two, three, four years experienced to crack the job interview for top companies/MNC Register Login Python Photoshop SAP Java PHP Android C++ Hadoop Oracle Interview Questions Articles Other Suppose say classes B and C both inherit from class A, while class D inherits from both class B and C. Now while implementing multiple inheritance if B and C override some method from class A, there is a confusion and dilemma always on which implementation D should inherit. Generally, in interviews, recruiters start by asking basic questions and gradually increase the difficulty level. It is used for representing whether a value is present or absent. Get access to 100+ code recipes and project use-cases. Case classes are standard classes declared with a special modifier case. Ans: A Monad is an object that wraps another object. Ans: Similar to any other programming language, Scala also follows Presidency and Priority tables. Streams in Scala are a type of lazy collection, which are created using starting element and then recursively generated using those elements. Scala Program Example Scala is a general-purpose programming language. Of all the four programming languages supported by Spark, most of the big data job openings list Scala as a “must-have” programming skill for Apache Spark developers instead of Java, Python or R. Typesafe CEO Mark Brewer made a statement supporting the increasing demand for Scala developers –“We’re hearing about startups choosing Scala specifically because that’s where the best developers are now. Ans: They appear similar but different in their behaviour: Ans: If-Else-If statement executes one of the three statements. YARN cluster mode: The driver runs inside the cluster. Q16. In this Spark project, we are going to bring processing to the speed layer of the lambda architecture which opens up capabilities to monitor application real time performance, measure real time comfort with applications and real time alert in case of security. Multiple inheritance problem is referred to as the Deadly diamond problem or diamond problem. Scala uses immutability by default in most of the cases as it helps resolve issues when dealing with concurrent programs and any other equality issues. To qualify for this, annotation “@annotation.tailrec” has to be used before defining the function and recursive call has to be the last statement, then only the function will compile otherwise, it will give an error. Hive Project- Understand the various types of SCDs and implement these slowly changing dimesnsion in Hadoop Hive and Spark. In this PySpark project, you will simulate a complex real-world data pipeline based on messaging. A companion object can access all the private members of a companion class. So if you are looking for a job that is related to Scala, you need to prepare for the Scala Interview Questions. Val and var are the two keywords used to define variables in Scala. 4) Is Scala programming language community mature enough according to you? Just like in Java, we can provide implementation for different kinds of constructors so that the right one is invoked based on the requirements. Empty tuple i.e. It helps in providing the return type for the operations that can affect a normal program’s flow. However, unlike classes, traits cannot be instantiated. () in Scala is a term that represents unit value. Scala provides a very graceful way of handling those situations. Explain the scope provided for variables in Scala. apply and unapply methods in Scala are used for mapping and unmapping data between form and model data. The statement “Scala is hard to master” is definitely true to some extent but the learning curve of Scala for Spark is well worth the time and money. We’ve also heard that Scala developers are consistently fetching $110K+ salaries, because they are in such high demand.”, For the complete list of big data companies and their salaries- CLICK HERE. Running: scala HelloWorld. People often confuse with the terms concurrency and parallelism. These questions are good for both fresher and experienced Spark developers to enhance their knowledge and data analytics skills both. 29,22. With the enterprise adoption of Scala based big data frameworks like Apache Kafka and Apache Spark- Scala is becoming popular among big data professionals. Answer: Spark SQL (Shark) Spark Streaming GraphX MLlib SparkR Q2 What is "Spark SQL"? Ans: A Higher-order function is a function that does at least one of the following: takes one or more Functions as Arguments, returns a Function as its result. The following program implements an infinite loop. In order for a Tail recursive, the call back to the function must be the last function to be performed. Consider all the popular functional programming languages supported by Apache Spark big data framework like Java, Python, R and Scala and look at the job trends. How do you define a function in Scala? What is Spark? A Pattern match includes a sequence of alternatives, each starting with the Keyword case. Q18. The App trait can be used to quickly turn Objects into Executable programs. 250+ Spark Sql Programming Interview Questions and Answers, Question1: What is Shark? Spark, as it is an open-source platform, we can use multiple programming languages such as java, python, Scala, R. As compared to Map-Reduce process performance, spark helps in improving execution performance. What is Scala? It can integrate itself with Java Virtual Machine and compile the code written. Q30. For a case class, companion objects and its associated method also get generated automatically. The most interesting part of learning Scala for Spark is the big data job trends. It incorporates all types under AnyRef and AnyVal. Ans: Scala is a Java-based Hybrid programming language which is the fusion of both Functional and Object-Oriented Programming Language features. If you're looking for Apache Spark Interview Questions for Experienced or Freshers, you are at right place. Give some examples of Packages in Scala. Scala resolves diamond problem through the concept of Traits and class linearization rules. The call of this function is performed by the driver application. Another way to do is to use map/flatMap and filter with nomads. Ans: The Syntax for function declaration is as follows: Here, the return type is any valid Scala data type and we separate the list of parameters by comma and list of parameters and return type are optional. Ans: App is a helper class that holds the main method and its Members together. Complex programming features like Macros, Tuples and Functions make it easy for spark developers to write better code and improve performance by programming in Scala. Answer: Spark SQL is a Spark interface to work with structured as well as semi-structured data. And What is the difference between them? Var keyword is just similar to variable declaration in Java whereas Val is little different. There are a lot of opportunities from many reputed companies in the world. Explain how Scala is both Functional and Object-oriented Programming Language? In java these are handled using try/catch or left unattended causing errors in the program. If you would like more information about Big Data careers, please click the orange "Request Info" button on top of this page. An arrow symbol => separates the pattern from the expressions. Cloudera CCA175 (Hadoop and Spark Developer Hands-on Certification available with total 75 solved problem scenarios. What is the Syntax for function declaration in Scala? None – In programming, there are many circumstances, where we unexpectedly received null for the methods we call. This project is deployed using the following tech stack - NiFi, PySpark, Hive, HDFS, Kafka, Airflow, Tableau and AWS QuickSight. It follows the reverse process of apply method. Q19. Now-a-days, most of the Finance/Banking, Government, Telecom, Social Networking etc. Once a variable is declared using Val the reference cannot be changed to point to another reference. Welcome to Scala interview questions and answers. Scala Interview Questions for Experienced – Q. So, with this, we finished some questions on the Beginner Level. As the name itself indicates Scala meaning Scalable Language, its high scalable, maintainability, productivity and testability features make it advantageous to use Scala. I have lined up the questions as below. Nil – It’s a handy way of initializing an empty list since, Nil, is an object, which extends List [Nothing]. Ans: Some of the major Advantages of Scala are as follows: Ans: The following are the Operators in Scala: Ans: ‘Recursion’ is a function that calls itself. 3. The yield keyword if specified before the expression, the value returned from every expression, will be returned as the collection. Tell us something about Shark. Following are few String Methods in Scala. Q21. It represents the absence of type information for complex types that are inherited from AnyRef. In Scala, there are no annotations or no special package to be imported. So, with this, we come to an end of this Scala Interview Questions article. It is a technique used frequently in Functional programming. Answer: Shark is an amazing application to work with most data users know only SQL for database management and are not good at other programming languages. Pyspark Interview Questions and answers are very useful to the Fresher or Experienced person who is looking for the new challenging job from the reputed company. Home > Big Data > Most Common PySpark Interview Questions & Answers [For Freshers & Experienced] As the name suggests, PySpark is an integration of Apache Spark and the Python programming language. Scala Interview Questions: Beginner Level It is an object which holds the potential value or future value, which would be available after the task is completed. The assignment to the result value is the definition of the DAG, including its execution, triggered by the collect() call. Scala Future is a monadic collection, which starts a background task. It supports object-oriented, functional and imperative programming approaches. Explore hive usage efficiently in this hadoop hive project using various file formats such as JSON, CSV, ORC, AVRO and compare their relative performances. 2. Ans: Code is written in Scala IDE or a Scala REPL, Later, the code is converted into a Byte code and transferred to the JVM or Java Virtual Machine for compilation. Some of the major Advantages of Scala are as follows: Following is the example code snippet to explain, provides type aliases for types which are commonly used, such as the immutable collection types Map, Set, and the List constructors. Tech Enthusiast working as a Research Analyst at Edureka. Then, you’ll surely be ready to master the answers to these Spark interview questions. Ans: A Trait can be defined as a unit which Encapsulates the method and its variables or fields. In Scala, everything is an object whether it is a function or a number. Now, Let us move to the next level of interview questions which happen to be the Advanced Level Interview Questions. The companion objects in turn are compiled to classes which have static methods. Previously she graduated with a Masters in Data Science with distinction from BITS, Pilani. Auxiliary Constructor is the secondary constructor in Scala declared using the keywords “this” and “def”. Unit is a subtype of scala.anyval and is nothing but Scala equivalent of Java void that provides the Scala with an abstraction of the java platform. Watch this video to learn more about cluster mode. 5) Which is you most preferred development environment IDE, OS, Editor, IDE or Tools? 1. Every auxiliary constructor in Scala should differ in the number of parameters or in data types. Nowadays interviewer asked below Spark interview questions for Data Engineers, Hadoop Developers & Hadoop Admins. Wherever, we require that function could be invoked without passing all the parameters, we use implicit parameter. Spark is a super-fast cluster computing technology. In this hadoop project, you will be using a sample application log file from an application server to a demonstrated scaled-down server log processing pipeline. The Option type itself is unimplemented but depends on two sub types: Some and None. Ans: Some of the Frameworks supported by Scala are as follows: Q4. The only way to retrieve the result is Future.get () in Java. According to the tables, Scala Performs the operations as follows. I hope we sparked a little light upon your knowledge about Scala, Its features and the various types of operations that can be performed using Scala. Ans: A few scenarios where Scala differs from Java are as follows: Ans: You can extend a base Scala class and you can design an Inherited class in the same way you do it in Java by using extends keyword, but there are two restrictions: method Overriding requires the override keyword, and only the Primary constructor can pass parameters to the base Constructor. Ans: Scala tuples combine a Finite number of items together so that the programmer can Pass a tuple around as a Whole. Hive Project -Learn to write a Hive program to find the first unique URL, given 'n' number of URL's. Consider all the popular functional programming languages supported by Apache Spark big data framework like Java, Python, R and Scala and look at the job trends.
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