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I applied via Campus Placement and was interviewed in Feb 2024. There were 3 interview rounds.
Intermediate questions
Basic sql queries- written
Delete removes specific rows, truncate removes all rows, drop removes entire table.
Delete is used to remove specific rows from a table based on a condition.
Truncate removes all rows from a table but keeps the table structure.
Drop removes the entire table along with its structure and data.
Delete is slower than truncate and drop as it maintains logs for rollback.
Truncate is faster than delete as it does not maintain logs...
Keywords in SQL are essential for querying databases efficiently.
SELECT
FROM
WHERE
JOIN
GROUP BY
ORDER BY
HAVING
INSERT INTO
UPDATE
DELETE
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I applied via Recruitment Consulltant and was interviewed before Jan 2024. There was 1 interview round.
Simple sql and python basic questions was asked.
I applied via Approached by Company and was interviewed in Aug 2024. There were 5 interview rounds.
I was hiring drive. First round was coding test with medium to advanced SQL, data modelling and python questions
If number of employees is less than 2, highest and lowest rank will be the same.
If there are less than 2 employees, both highest and lowest rank will be the same.
For example, if there is only 1 employee, their rank will be 1 which is both the highest and lowest rank.
I applied via Campus Placement and was interviewed before Jun 2023. There were 3 interview rounds.
1 hr medium level DSA questions
DFS (Depth First Search) is a traversal algorithm used in tree data structures to explore as far as possible along each branch before backtracking.
DFS starts at the root node and explores as far as possible along each branch before backtracking.
It uses a stack to keep track of nodes to visit next.
DFS can be implemented recursively or iteratively.
Example: In a binary tree, DFS would visit the left child of a node before
SQL normalisation types include 1NF, 2NF, 3NF, BCNF, and 4NF, each with specific rules for eliminating data redundancy.
1NF (First Normal Form) - Each column in a table must contain atomic values, and there should be no repeating groups.
2NF (Second Normal Form) - Table should be in 1NF and all non-key attributes should be fully functionally dependent on the primary key.
3NF (Third Normal Form) - Table should be in 2NF an...
I am open to opportunities in various locations, depending on the job offer and company culture.
Open to relocation for the right opportunity
Prefer locations with good work-life balance
Interested in cities with strong tech communities
Questions related to Spark internals, Tungsten project, and SQL problem for retail transactions.
Spark's internal mechanism includes components like Spark Core, Spark SQL, Spark Streaming, and MLlib.
Tungsten project in Spark aims to improve the performance of Spark by optimizing memory usage and CPU utilization.
To solve the SQL problem, we can use a query to filter transactions for a particular retail and then use the '...
I applied via Naukri.com and was interviewed before Mar 2023. There were 4 interview rounds.
Hackerrank test with medium level DSA and SQL questions
Big data optimisation techniques involve strategies to improve the performance and efficiency of processing large volumes of data.
Use of distributed computing frameworks like Hadoop and Spark to process data in parallel
Implementing data compression techniques to reduce storage requirements
Utilizing indexing and partitioning to optimize query performance
Applying data pruning and filtering to reduce unnecessary data proc...
I applied via Job Fair and was interviewed in Jun 2024. There was 1 interview round.
Duration - 3 hours, DSA
based on 1 interview
Interview experience
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