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I appeared for an interview before Jul 2024, where I was asked the following questions.
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I applied via Campus Placement and was interviewed before May 2022. There were 5 interview rounds.
It was a coding round with sql ,python questions , few aptitude questions
Basic SQL involves writing queries to manage and manipulate relational databases effectively.
SELECT statement: Used to retrieve data from a database. Example: SELECT * FROM employees;
WHERE clause: Filters records based on specified conditions. Example: SELECT * FROM employees WHERE age > 30;
JOIN operations: Combines rows from two or more tables based on a related column. Example: SELECT * FROM orders JOIN customers ...
I applied via Referral and was interviewed in May 2024. There were 4 interview rounds.
Python and SQL questions were asked
ACID properties ensure data integrity in DBMS: Atomicity, Consistency, Isolation, Durability.
Atomicity ensures that all operations in a transaction are completed successfully or none at all.
Consistency ensures that the database remains in a consistent state before and after the transaction.
Isolation ensures that multiple transactions can be executed concurrently without affecting each other.
Durability ensures that once...
Reasoning and aptitude questions were asked
Easy and moderate level question
Given a relevant topic and discussion on it
I applied via Campus Placement and was interviewed in Jun 2024. There was 1 interview round.
This was my first campus drive,& it was one of the hardest one too.We had 3 coding problems for 60 mins.It was held on HackerRank & it was not so hard but not so easy for the beginners.
1)Lambda Sort
2) and 3) ques on SQL
It was different ques for each one.
posted on 12 Oct 2023
Question related to quantitative aptitude
posted on 29 Nov 2023
I applied via Recruitment Consulltant and was interviewed in Oct 2023. There were 4 interview rounds.
Pyspark code to join and transform two tables for desired output format.
Use Spark DataFrame API to read the tables.
Perform join operations based on common keys.
Utilize select and withColumn to format the output.
Example: df1.join(df2, 'key').select('column1', 'column2')
posted on 17 Apr 2024
A bit difficult Aptitude questions
based on 1 interview experience
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