Top Apache Spark Interview Questions & Answers 2022

Apache Spark is a highly lucrative career in today’s IT industry. If you are preparing to interview, it means that you have completed your training and are looking for a job. Amazon, JPMorgan, and eBay are all big data users.
These top Apache Spark interview questions are both for experts and beginners to help you prepare for your interview.
1. What is Apache Spark? What is Apache Spark?
Apache Spark is a data processing framework that uses an advanced execution engine to support cyclic data flow as well as in-memory computing. It can access diverse data sources such as HDFS, HBase, and Cassandra.
Apache Spark is 100 times faster than MapReduce, and uses better Machine Learning applications.
It has data storage built in, unlike MapReduce which uses hard disk storage.
Spark allows integration, but is not dependent upon Hadoop, while MapReduce cannot be run without Hadoop.
2. What are the key features in Apache Spark?
Spark is a Hadoop integration tool and can also be run on Cloud
It also has Scala, an interactive language shell.
Spark is composed of Resilient Distributed datasets (or RDDs), which can be cached across computing devices within a cluster.
Apache Spark supports multiple analytics tools for interactive query analysis, real time analysis, and graph processing.
3. What are resilient distributed datasets?
The Resilient Distributed datasets, also known as RDDs, are the core data structure of Apache Spark. They are embedded within what is known as Spark Core. The data that is separated in an RDD can be distributed and is immutable. RDDs are fault-tolerant collections of elements that can be used in parallel. They can be classified as:
Parallelized collections: All RDDs run in parallel
Hadoop datasets: All functions performed by RDDs are recorded in HDFS and any other storage system.
4. What is Apache Mesos? How can you connect Spark with it?
Apache Mesos allows you to separate CPU, memory, and storage from physical or virtual machines. This makes it easy for fault-tolerant, elastic distributed systems to be built and operated efficiently. In four easy steps, Spark can connect with Mesos.
To connect to Mesos, configure the Spark driver program
Add the Spark binary package in a location that Mesos has access
Install Spark in the exact same place as Mesos
In the file where Spark is installed, configure spark.mesos.executor.home.
5. What are Spark Datasets?
Spark data structures give the JVM object the same benefits that RDDs. They are accompanied by a Spark engine which is SQL optimised. These data structures are known as Spark Datasets.
Additional reading: What are the benefits of Cloudera Hadoop developer certification?
6. Which Spark ecosystems are most popular?
Spark SQL (Shark), is the most popular for developers
Spark Streaming is used to process live data streams
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