Karur Vysya Bank Data Engineer Interview Questions and Answers

Q1. I was asked to write code and some scenario based question on Big Data etc
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2nd with VP which is easy but he seems not okay with my ECTC

The first round which is online assessment for eliminating candidates was conducted consist of medium level aptitude questions there were 3 sub sec have duration of 20 15 15 minutes and questions 15 10 10 respectively and you cannot move to further section there is time constraints for each then followed by 15 minutes psychometric section having 50 questions that's all for screening round the total duration was 65 min.
Total 24 candidates were selected from this round out of 200 plus

Q1. What is an index and what does it do
Ans. 
An index is a data structure that improves the speed of data retrieval operations in a database by allowing quick access to specific data.
• Indexes are used to quickly locate data without having to search every row in a database table.

• They are created on specific columns in a table to speed up queries that filter or sort by those columns.

• Examples of indexes include primary keys, unique keys, and non-unique indexes.
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Q1. Tell me a time you resolve conflict
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Spark Sql and Spark Scripting

Data Modelling for retail brand like dmart

ETL Pipeline which handles streaming data as well

Q1. Sql pyspark work related question basic and coding
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Q1. Questions on pyspark coding, windowing function and all
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Q2. Questions on hive and yarn
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Q1. What are joins of sql
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Q2. Explain about self join
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Q1. Explain spark stages and tasks
Ans. 
Spark stages are a collection of tasks that are executed together to perform a specific computation.
• Stages are created based on the transformations and actions in a Spark job.

• Each stage consists of a set of tasks that can be executed in parallel.

• Stages are divided into two types: narrow (one-to-one) and wide (one-to-many) transformations.

• Tasks within a stage are executed on different partitions of the data in parallel.

• ...read more
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Q2. Sql windoq questions
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Q1. Advance delta table optimizatoins
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Q2. Data modelling in previous project
Ans. 
Implemented data modelling using star schema in a retail analytics project.
• Designed star schema to optimize query performance

• Used fact and dimension tables to organize data

• Implemented ETL processes to populate the data warehouse

• Utilized tools like SQL, Python, and Apache Spark for data modelling
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