Udemy
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
Development
Web Development Data Science Mobile Development Programming Languages Game Development Database Design & Development Software Testing Software Engineering Development Tools No-Code Development
Business
Entrepreneurship Communications Management Sales Business Strategy Operations Project Management Business Law Business Analytics & Intelligence Human Resources Industry E-Commerce Media Real Estate Other Business
Finance & Accounting
Accounting & Bookkeeping Compliance Cryptocurrency & Blockchain Economics Finance Finance Cert & Exam Prep Financial Modeling & Analysis Investing & Trading Money Management Tools Taxes Other Finance & Accounting
IT & Software
IT Certification Network & Security Hardware Operating Systems Other IT & Software
Office Productivity
Microsoft Apple Google SAP Oracle Other Office Productivity
Personal Development
Personal Transformation Personal Productivity Leadership Career Development Parenting & Relationships Happiness Esoteric Practices Religion & Spirituality Personal Brand Building Creativity Influence Self Esteem & Confidence Stress Management Memory & Study Skills Motivation Other Personal Development
Design
Web Design Graphic Design & Illustration Design Tools User Experience Design Game Design Design Thinking 3D & Animation Fashion Design Architectural Design Interior Design Other Design
Marketing
Digital Marketing Search Engine Optimization Social Media Marketing Branding Marketing Fundamentals Marketing Analytics & Automation Public Relations Advertising Video & Mobile Marketing Content Marketing Growth Hacking Affiliate Marketing Product Marketing Other Marketing
Lifestyle
Arts & Crafts Beauty & Makeup Esoteric Practices Food & Beverage Gaming Home Improvement Pet Care & Training Travel Other Lifestyle
Photography & Video
Digital Photography Photography Portrait Photography Photography Tools Commercial Photography Video Design Other Photography & Video
Health & Fitness
Fitness General Health Sports Nutrition Yoga Mental Health Dieting Self Defense Safety & First Aid Dance Meditation Other Health & Fitness
Music
Instruments Music Production Music Fundamentals Vocal Music Techniques Music Software Other Music
Teaching & Academics
Engineering Humanities Math Science Online Education Social Science Language Teacher Training Test Prep Other Teaching & Academics
AWS Certification Microsoft Certification AWS Certified Solutions Architect - Associate AWS Certified Cloud Practitioner CompTIA A+ Cisco CCNA Amazon AWS CompTIA Security+ AWS Certified Developer - Associate
Graphic Design Photoshop Adobe Illustrator Drawing Digital Painting InDesign Character Design Canva Figure Drawing
Life Coach Training Neuro-Linguistic Programming Personal Development Mindfulness Meditation Personal Transformation Life Purpose Emotional Intelligence Neuroscience
Web Development JavaScript React CSS Angular PHP WordPress Node.Js Python
Google Flutter Android Development iOS Development Swift React Native Dart Programming Language Mobile Development Kotlin SwiftUI
Digital Marketing Google Ads (Adwords) Social Media Marketing Google Ads (AdWords) Certification Marketing Strategy Internet Marketing YouTube Marketing Email Marketing Google Analytics
SQL Microsoft Power BI Tableau Business Analysis Business Intelligence MySQL Data Modeling Data Analysis Big Data
Business Fundamentals Entrepreneurship Fundamentals Business Strategy Online Business Business Plan Startup Blogging Freelancing Home Business
Unity Game Development Fundamentals Unreal Engine C# 3D Game Development C++ 2D Game Development Unreal Engine Blueprints Blender
30-Day Money-Back Guarantee
Development Database Design & Development Interviewing Skills

Apache Spark Interview Questions Preparation Course

Learn everything about Apache Spark. Save time in Interview preparation.
Rating: 3.5 out of 53.5 (52 ratings)
452 students
Created by KnowledgePowerhouse !
Last updated 8/2017
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Understand Spark
  • Learn important concepts of Spark
  • Answer interview questions on Spark
  • Demand higher salary or promotion based on the knowledge gained!!

Course content

10 sections • 43 lectures • 1h 55m total length

  • Preview04:00
  • How to master Apache Spark interview questions?
    00:29
  • Disclaimer
    00:38

  • Preview03:34
  • What is a Resilient Distribution Dataset in Apache Spark?
    03:10
  • What is a Transformation in Apache Spark?
    02:30
  • What are security options in Apache Spark?
    02:58
  • How will you monitor Apache Spark?
    02:46

  • What are the main libraries of Apache Spark?
    03:24
  • What are the main functions of Spark Core in Apache Spark?
    02:23
  • Preview04:18
  • What are the two ways to create RDD in Spark?
    02:37
  • What are the common Transformations in Apache Spark?
    03:14

  • What are the common Actions in Apache Spark?
    02:44
  • What is a Shuffle operation in Spark?
    02:43
  • What is purpose of Spark SQL?
    03:08
  • What is a DataFrame in Spark SQL?
    02:13
  • What is a Parquet file in Spark?
    02:32

  • Preview03:26
  • What are the main languages supported by Apache Spark?
    02:37
  • What are the file systems supported by Spark?
    02:19
  • What is an RDD Lineage?
    03:17
  • What are the different deployment modes of Apache Spark?
    02:30

  • Preview02:27
  • What are the core components of a distributed application in Apache Spark?
    03:10
  • How will you remove data from cache in Apache Spark?
    03:10
  • Do we need HDFS for running Spark application?
    02:19
  • What is Spark Streaming?
    03:22

  • What is a Pipeline in Apache Spark?
    02:43
  • What are the different types of Cluster Managers in Apache Spark?
    02:22
  • How will you minimize data transfer while working with Apache Spark?
    02:35
  • What is the main use of MLib in Apache Spark?
    02:39
  • What is Checkpointing in Apache Spark?
    02:57

  • What is an Accumulator in Apache Spark?
    03:04
  • What is Structured Streaming in Apache Spark?
    02:27
  • What is a Property Graph?
    02:23
  • What is Neighborhood Aggregation in Spark?
    02:11
  • What are different Persistence levels in Apache Spark?
    02:36

  • How will you select the storage level in Apache Spark?
    02:25
  • What are the options in Spark to create a Graph?
    02:24
  • What are the basic Graph operators in Spark?
    02:28

  • Bonus Lecture: What next?
    01:54
  • Test Your Apache Spark Knowledge!!
    01:54

Requirements

  • Basic software development experience
  • Familiar with Apache Spark

Description

Apache Spark is one of the fastest growing trend in Data Science and Data engineering world. Big companies like Amazon, Netflix, Google etc use Apache Spark. This course is designed to help you achieve your goals in Data Science field. Data Engineer and Software Engineers with Apache Spark knowledge may get more salary than others with similar qualifications without Apache Spark knowledge.

In this course, you will learn how to handle interview questions on Apache Spark in Software Development. I will explain you the important concepts of Apache Spark.

You will also learn the benefits and use cases of Apache Spark in this course. 

What is the biggest benefit of this course to me?

Finally, the biggest benefit of this course is that you will be able to demand higher salary in your next job interview.

It is good to learn Apache Spark for theoretical benefits. But if you do not know how to handle interview questions on Apache Spark, you can not convert your Apache Spark knowledge into higher salary.

What are the topics covered in this course?

We cover a wide range of topics in this course. We have questions on Apache Spark, Spark architecture, tricky questions etc.

How will this course help me?

By attending this course, you do not have to spend time searching the Internet for Apache Spark interview questions. We have already compiled the list of most popular and latest Apache Spark Interview questions. 

Are there answers in this course?

Yes, in this course each question is followed by an answer. So you can save time in interview preparation.

What is the best way of viewing this course?

You have to just watch the course from beginning to end. Once you go through all the videos, try to answer the questions in your own words. Also mark the questions that you could not answer by yourself. Then, in second pass go through only the difficult questions. After going through this course 2-3 times, you will be well prepared to face a technical interview in Apache Spark field.

What is the level of questions in this course?

This course contains questions that are good for a Fresher to an Architect level. The difficulty level of question varies in the course from a Fresher to an Experienced professional.

What happens if Apache Spark concepts change in future?

From time to time, we keep adding more questions to this course. Our aim is to keep you always updated with the latest interview questions on Apache Spark.

What are the sample questions covered in this course?

Sample questions covered in this course are as follows:

  1. What are the main features of Apache Spark?
  2. What is a Resilient Distribution Dataset in Apache Spark?
  3. What is a Transformation in Apache Spark?
  4. What are security options in Apache Spark?
  5. How will you monitor Apache Spark?
  6. What are the main libraries of Apache Spark?
  7. What are the main functions of Spark Core in Apache Spark?
  8. How will you do memory tuning in Spark?
  9. What are the two ways to create RDD in Spark?
  10. What are the main operations that can be done on a RDD in Apache Spark?
  11. What are the common Transformations in Apache Spark?
  12. What are the common Actions in Apache Spark?
  13. What is a Shuffle operation in Spark?
  14. What are the operations that can cause a shuffle in Spark?
  15. What is purpose of Spark SQL?
  16. What is a DataFrame in Spark SQL?
  17. What is a Parquet file in Spark?
  18. What is the difference between Apache Spark and Apache Hadoop MapReduce?
  19. What are the main languages supported by Apache Spark?
  20. What are the file systems supported by Spark?
  21. What is a Spark Driver?
  22. What is an RDD Lineage?
  23. What are the two main types of Vector in Spark?
  24. What are the different deployment modes of Apache Spark?
  25. What is lazy evaluation in Apache Spark?
  26. What are the core components of a distributed application in Apache Spark?
  27. What is the difference in cache() and persist() methods in Apache Spark?
  28. How will you remove data from cache in Apache Spark?
  29. What is the use of SparkContext in Apache Spark?
  30. Do we need HDFS for running Spark application?
  31. What is Spark Streaming?
  32. How does Spark Streaming work internally?
  33. What is a Pipeline in Apache Spark?
  34. How does Pipeline work in Apache Spark?
  35. What is the difference between Transformer and Estimator in Apache Spark?
  36. What are the different types of Cluster Managers in Apache Spark?
  37. How will you minimize data transfer while working with Apache Spark?
  38. What is the main use of MLib in  Apache Spark?
  39. What is the Checkpointing in  Apache Spark?
  40. What is an Accumulator in Apache Spark?
  41. What is a Broadcast variable in  Apache Spark?
  42. What is Structured Streaming in  Apache Spark?
  43. How will you pass functions to Apache Spark?
  44. What is a Property Graph?
  45. What is Neighborhood Aggregation in Spark?
  46. What are different Persistence levels in Apache Spark?
  47. How will you select the storage level in Apache Spark?
  48. What are the options in Spark to create a Graph?
  49. What are the basic Graph operators in Spark?
  50. What is the partitioning approach used in GraphX of Apache Spark?

Who this course is for:

  • Absolute beginners in Spark
  • Anyone who wants to appear in Data Engineer interview
  • Software Engineer, Sr. Software Engineer, Member Technical Staff, Expert
  • Software Architect, Development Manager, Director
  • Anyone who wants to learn Spark

Instructor

KnowledgePowerhouse !
Top most career courses! 30,000+ students are enjoying it!
KnowledgePowerhouse !
  • 3.7 Instructor Rating
  • 2,088 Reviews
  • 25,937 Students
  • 18 Courses

I am a Software Architect with expertise in Cloud Computing, Amazon Web Services, Microservices, Data Science, Hadoop, Spark, Machine Learning and Java architecture. Learning, using and sharing Technology is my passion.

I have built systems that are running enterprise software of companies across the world. I have gained a lot of knowledge by working hands-on on these large scale software projects.

With these courses I aim to share my knowledge with the future Software Engineers, Developers, Leaders and Architects . 

I am sure the knowledge in these courses can give you extra power to win in life.

All the best!!

  • Udemy for Business
  • Teach on Udemy
  • Get the app
  • About us
  • Contact us
  • Careers
  • Blog
  • Help and Support
  • Affiliate
  • Impressum Kontakt
  • Terms
  • Privacy policy
  • Cookie settings
  • Sitemap
  • Featured courses
Udemy
© 2021 Udemy, Inc.