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Networkz Systems Interview Questions and Answers

Updated 28 Aug 2024
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Q1. What are the different Cluster Managers available in Spark ?

Ans.

Apache Spark supports several cluster managers including YARN, Mesos, and Standalone.

  • YARN is the default cluster manager for Spark and is used for Hadoop-based clusters.

  • Mesos is a general-purpose cluster manager that can be used with Spark, Hadoop, and other frameworks.

  • Standalone is a simple cluster manager that comes bundled with Spark and is suitable for testing and development purposes.

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Q2. What are the features of the Apache Spark ?

Ans.

Apache Spark is a fast and general-purpose cluster computing system.

  • Distributed computing engine

  • In-memory processing

  • Supports multiple languages

  • Machine learning and graph processing libraries

  • Real-time stream processing

  • Fault-tolerant

  • Scalable

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Q3. How is Spark different from Map reduce ?

Ans.

Spark is faster than MapReduce due to in-memory processing and DAG execution model.

  • Spark uses in-memory processing while MapReduce uses disk-based processing.

  • Spark has DAG (Directed Acyclic Graph) execution model while MapReduce has Map and Reduce phases.

  • Spark supports real-time processing while MapReduce is batch-oriented.

  • Spark has a higher level of abstraction and supports multiple languages while MapReduce is limited to Java.

  • Spark has built-in libraries for SQL, streaming,...read more

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Q4. What is the difference between RDD and coalesce ?

Ans.

RDD is a distributed collection of data while coalesce is a method to reduce the number of partitions in an RDD.

  • RDD is immutable while coalesce creates a new RDD with fewer partitions

  • RDD is used for parallel processing while coalesce is used for reducing the number of partitions

  • RDD can be created from Hadoop InputFormats while coalesce is a method of RDD

  • Example: rdd.coalesce(1) merges all partitions into a single partition

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Q5. What is React ,Why it is used in modern days apps

Ans.

React is a JavaScript library for building user interfaces, known for its efficiency and flexibility.

  • React allows for the creation of reusable UI components, making development faster and more efficient.

  • It uses a virtual DOM to improve performance by only updating the necessary parts of the UI.

  • React is popular for single-page applications and dynamic web interfaces.

  • It is widely used in modern web development due to its declarative and component-based approach.

  • React Native all...read more

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Q6. What are RDD in Pyspark ?

Ans.

RDD stands for Resilient Distributed Datasets in Pyspark, which are fault-tolerant collections of elements that can be processed in parallel.

  • RDDs are the fundamental data structure in Pyspark.

  • They are immutable and can be cached in memory for faster processing.

  • RDDs can be created from Hadoop Distributed File System (HDFS), local file system, or by transforming existing RDDs.

  • Examples of transformations include map, filter, and reduceByKey.

  • Actions like count, collect, and saveA...read more

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Q7. What is props,Virtual Dom

Ans.

Props are used to pass data from parent to child components in React. Virtual DOM is a lightweight copy of the actual DOM for efficient updates.

  • Props are read-only and cannot be modified by the child component

  • Virtual DOM is a concept in React where changes are first made to a lightweight copy of the actual DOM before being applied to the real DOM

  • Virtual DOM helps in improving performance by minimizing the number of updates needed to the actual DOM

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