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A Guide to Crack any Spark Interview

Lit the Spark in you and discuss most commonly asked Spark1.0 and Spark 2.0 Interview questions
Instructor:
Big Data Trunk
19 students enrolled
English [Auto-generated]
Most commonly asked Apache Spark Interview questions
Detailed discussion of topics frequently asked in a job interview
How to answer the questions and their counter questions

We will discuss the topics which are most commonly asked in Spark Interview. We will try to analyze these topics and get to know what actually interviewer is trying to analyze in you and how to answer each question along with their follow up questions.

Course is prepared based on the experience shared by many of our students and the Big Data engineers, who have taken or attended the interviews.

Covered even the most basic concepts of Apache spark in our course. So even if you have an experience of 6 months or 1year  or upto 5-6 years, you can opt for this course.

Even if you are new to spark and want to excel you career in Apache Spark, you can go through this course.

We have included few lab sessions also for the questions, which are generally asked in the  interview.

Introduction

1
Introduction
2
BIg Data Trunk Intro

Spark Core Questions

1
What is spark ?
2
Why Spark over Hadoop ?
3
Spark Ecosystem
4
Spark Core
5
Spark Driver
6
Spark Context
7
Multiple Spark Context in a JVM
8
Spark Architecture
9
Features Of Spark
10
Spark Libraries
11
Spark Session
12
Working with Spark Context and Spark session (Lab)
13
Spark Executor Memory
14
File Systems supported by Spark
15
Limitations of Spark
16
Spark 1.0 Vs Spark 2.0

Resilient Distributed Dataset

1
Spark RDD
2
RDD Lineage
3
Fault Tolerance
4
Transormation & Action on RDD in Spark
5
Filter Vs Map Vs FlatMap
6
Directed Acyclic Graph (DAG)
7
Lazy Evaluation in Spark
8
Features and Limitations of RDD
9
Partitions in Spark
10
What is Shuffling of data
11
Repartition Vs Coalesce

Spark SQL

1
What is Spark SQL?
2
Data Storage in Spark SQL
3
TypeSaftey in Dataset
4
About three APIs of Apache Spark

Spark optimization

1
Why Optimization is needed for Spark ?
2
Garbage Collection Optimization
3
How degree of Parallelism affects spark performance ?

All the Best !!

1
Thank You !!
2
Bonus Lecture
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Includes

2 hours on-demand video
3 articles
Full lifetime access
Access on mobile and TV
Certificate of Completion