Scala Interview Questions And Answers | Apache Spark Training | Edureka

** Apache Spark and Scala Certification Training: https://www.edureka.co/apache-spark-scala-training **
This Edureka video on "Scala Interview Questions and Answers" helps you in understanding how to tackle questions in a Scala interview and also gives you an idea of the questions that can be asked in a Scala Interview. The Scala interview questions cover a wide range of questions from various components. Below are the topics covered in this tutorial:

Scala interview questions for Beginners
Scala intermediate Interview questions
Scala Advanced interview questions

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How it Works?

1. This is a 5 Week Instructor-led Online Course, 40 hours of assignment and 30 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

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About the course

Apache Spark Certification Training Course is designed to provide you with the knowledge and skills to become a successful Big Data & Spark Developer. This Training would help you to clear the CCA Spark and Hadoop Developer (CCA175) Examination.

You will understand the basics of Big Data and Hadoop. You will learn how Spark enables in-memory data processing and runs much faster than Hadoop MapReduce. You will also learn about RDDs, DataFrames, Spark SQL for structured processing, different APIs offered by Spark such as Spark Streaming, Spark MLlib. This course is an integral part of a Big Data Developer’s Career path. It will also encompass the fundamental concepts such as data capturing using Flume, data loading using Sqoop, a messaging system like Kafka, etc.
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Why should you go for Online Spark Training?

Spark is one of the most growing and widely used tools for Big Data & Analytics. It has been adopted by multiple companies falling into various domains around the globe and therefore, offers promising career opportunities. In order to take part in this kind of opportunities, you need a structured training that is aligned as per Cloudera Hadoop and Spark Developer Certification (CCA175) and current industry requirements and best practices.

Besides strong theoretical understanding, it is quite essential to have a strong hands-on experience. Hence, during the Edureka’s Spark and Scala course, you will be working on various industry-based use-cases and projects incorporating big data and spark tools as a part of the solution strategy.

Additionally, all your doubts will be addressed by the industry professional, currently working on real-life big data and analytics projects.
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What are the skills that you will be learning with our Spark Certification Training?

The Edureka’s Spark Training is designed to help you become a successful Spark developer. During this course, our expert instructors will train you to-

Write Scala Programs to build Spark Application
Master the concepts of HDFS
Understand Hadoop 2.x Architecture
Understand Spark and its Ecosystem
Implement Spark operations on Spark Shell
Implement Spark applications on YARN (Hadoop)
Write Spark Applications using Spark RDD concepts
Learn data ingestion using Sqoop
Perform SQL queries using Spark SQL
Implement various machine learning algorithms in Spark MLlib API and Clustering
Explain Kafka and its components
Understand Flume and its components
Integrate Kafka with real-time streaming systems like Flume
Use Kafka to produce and consume messages
Build a Spark Streaming Application
Process Multiple Batches in Spark Streaming
Implement different streaming data sources
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Who should go for our Spark Training Course?

Developers and Architects
BI /ETL/DW Professionals
Senior IT Professionals
Testing Professionals
Mainframe Professionals
Freshers
Big Data Enthusiasts
Software Architects, Engineers, and Developers
Data Scientists and Analytics Professionals

For more information, Please write back to us at [email protected] or call us at:
IND: 9606058406 / US: 18338555775 (toll free)