PayPal Decision Scientist Interview Questions and Answers

Q1. Question on sql and other stuff
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Q1. Question on sql and other stuff
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Q1. Question on sql and queries
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1 hr medium level DSA questions

Q1. DFS in tree Data Structure
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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
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Q2. SQL normalisation types and explanation
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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...read more
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Q1. Preferred Location
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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
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Q2. About the company
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Q1. Discussion on linear regression and regularisation techniques
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Q2. Discussion on tree based models and measures to score the models
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2 hours, 12th level math questions

1 hour, sql and python

Hackerrank test with medium level DSA and SQL questions

Q1. SQL joins and window functions
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Q2. Big data optimisation techniques
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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...read more
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Q3. DSA Medium level
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Q1. Big data Eco system
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Q2. SQL and Python related
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Q1. Managerial round on a specific use case designing
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Q1. 1) What is internal mechanism in spark . 2) tungsten project in spark explanation 3) sql problem to check where last two transaction belongs to particular retail
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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 '...read more
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Q1. 1) scenario based question like , if a. job is launched with single executor will there be shuffling
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