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Aptitude test contains of programming language and aptitude questions
My favorite programming language is Python because of its readability, versatility, and extensive libraries.
Python is known for its readability, making it easier to write and maintain code.
Python is versatile and can be used for web development, data analysis, machine learning, and more.
Python has a vast collection of libraries like NumPy, Pandas, and Matplotlib that make data manipulation and visualization easier.
SQL commands are instructions used to interact with databases to perform tasks such as querying, updating, and managing data.
SQL commands are used to perform various operations on databases, such as SELECT, INSERT, UPDATE, DELETE.
Examples of SQL commands include SELECT * FROM table_name, INSERT INTO table_name (column1, column2) VALUES (value1, value2), UPDATE table_name SET column1 = value1 WHERE condition, DELETE FRO...
Left join returns all records from the left table and the matched records from the right table, while right join returns all records from the right table and the matched records from the left table.
Left join keeps all records from the left table, even if there are no matches in the right table.
Right join keeps all records from the right table, even if there are no matches in the left table.
Example: If we have a table o...
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I applied via campus placement at Indian Institute of Technology (IIT), Bhuvaneshwar and was interviewed in Nov 2024. There were 3 interview rounds.
2 coding problem 1)NSE
This is again a coding round 1) boundary traversal of binary tree and 2)Rotten Oranges
RDD stands for Resilient Distributed Dataset and is the fundamental data structure of Apache Spark.
RDD is a distributed collection of objects that can be operated on in parallel.
DataFrames and Datasets are higher-level abstractions built on top of RDDs.
RDDs are more low-level and offer more control over data processing compared to DataFrames and Datasets.
Partitioning is the process of dividing data into smaller chunks for better organization and processing in distributed systems.
Partitioning helps in distributing data across multiple nodes for parallel processing.
Coalesce is used to reduce the number of partitions without shuffling data, while repartition is used to increase the number of partitions by shuffling data.
Example: coalesce(5) will merge partitions into 5 pa...
Spark is a distributed computing framework that provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
Spark has a master-slave architecture with a driver program that communicates with a cluster manager to distribute work across worker nodes.
It uses Resilient Distributed Datasets (RDDs) for fault-tolerant distributed data processing.
Spark supports various programming l...
DAG stands for Directed Acyclic Graph. It is a finite directed graph with no cycles.
DAG is a collection of nodes connected by edges where each edge goes from one node to another, but no cycles are allowed.
In the context of Spark, a DAG represents the sequence of transformations that need to be applied to the input data to get the final output.
When a Spark job is submitted, Spark creates a DAG of the transformations spe...
posted on 13 Mar 2024
I applied via campus placement at Zagdu Singh Chartitable Trust's Thakur Institute of Management Studies & Research, Mumbai and was interviewed in Feb 2024. There were 3 interview rounds.
Aptitude test was divided into 3 parts and was not a typical quant, logical question it was more of an application based questions
I applied via Approached by Company and was interviewed in Oct 2023. There were 3 interview rounds.
I applied via Walk-in and was interviewed in Dec 2022. There were 3 interview rounds.
Presence of mind, logical approach, problem solving attitude, flexibility
I was interviewed in Sep 2016.
I was interviewed in Jan 2025.
2 MCQs sections based on SQL and Power BI.
I applied via Referral and was interviewed before May 2023. There were 2 interview rounds.
based on 1 interview
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