Anywhere Data Analyst Interview Questions and Answers

Q1. 1) Optimizations techniques used while working on Spark and hive. 2) difference between partitioning and bucketing 3) How to add column in Data frame 4) Difference between cache and persistent
Ans. 
Answers to questions related to Spark, Hive, and Data Frames
• Optimization techniques in Spark and Hive include partitioning, bucketing, and caching

• Partitioning divides data into smaller, more manageable chunks while bucketing groups data based on a specific column

• Adding a column to a Data Frame can be done using the 'withColumn' method

• Caching stores data in memory for faster access while persistence stores data on disk
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Q1. All questions related to current and previous projects. What is mean by ETL Day to day responsibilities
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Aptitude test and coding test

Q1. Python basics and about academic project
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Q1. Python questions and hands on coding
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180 mins test calculatogn

Q1. OOPS questions
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Q2. Design Pattern test
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MENTAL FAMILIY RELATION

Q1. Share ur experience
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Coding on python programming, any language is used in in coding.

Q1. Good ask simple question and simple program
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Q2. Python programming string reverse the string
Ans. 
Python provides a simple way to reverse a string using slicing.
• Use slicing to reverse the string: string[::-1]

• Assign the reversed string to a new variable or print it directly

• Alternatively, use the reversed() function to create a reversed iterator and join it back into a string
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C language basic questions like structure and all
Then linux device driver

Q1. Normal intro questions
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Q1. Few basic question on python
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Q2. Some coding questions
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Based on your CV and basic python questions and coding test and few HR questions