Birlasoft Software Developer Interview Questions, Process, and Tips

Aptitude test normal apti quant LR and verbal

Q1. Basic java question SQL queries About last year project
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Q1. About yourself Hobbies Location preferred Technology preferred
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Q1. 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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Q2. 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 limite...read more
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Q3. 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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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 parti
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Q1. 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, filt...read more
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Pass the property from parent component to nth child component.
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Q1. What is JSX. What is virtual DOM
Ans. 
JSX is a syntax extension for JavaScript that allows writing HTML-like code in React. Virtual DOM is a lightweight copy of the actual DOM used for efficient updates.
• JSX is a syntax extension for JavaScript used in React to write HTML-like code within JavaScript files

• Virtual DOM is a lightweight copy of the actual DOM used by React to improve performance by minimizing actual DOM updates

• JSX elements are transpiled into r...read more
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Q2. What are closures
Ans. 
Closures are functions that have access to variables from their containing scope even after the scope has closed.
• Closures are created when a function is defined within another function and has access to the outer function's variables.

• They can access variables from the outer function even after the outer function has finished executing.

• Closures are commonly used in JavaScript for data encapsulation and creating private
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It was an online coding test

I was asked about my experiences and the projects I have worked on and a few technical concepts

Everyone was given time to prepare for themselves and then was turned into a debate and everyone was given specific time to speak

Q1. Few normal questions about the projects
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