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I applied via Naukri.com and was interviewed in Dec 2024. There were 3 interview rounds.
5 coading questions were asked in it
I applied via Naukri.com and was interviewed in Jan 2023. There were 3 interview rounds.
Few MCQ's and along with couple of SQL scenario questions
What people are saying about Tiger Analytics
Spark, python related questions
Tiger Analytics interview questions for designations
I applied via Naukri.com and was interviewed before May 2023. There were 2 interview rounds.
2sql 2 python questions were to be coded
I applied via Naukri.com and was interviewed in Jun 2021. There were 4 interview rounds.
List is mutable and Tuple is immutable in Python.
List can be modified after creation while Tuple cannot be modified.
List uses square brackets [] while Tuple uses parentheses ().
List is used for homogenous data while Tuple is used for heterogenous data.
List is slower than Tuple in terms of performance.
Example of List: [1, 2, 3] and Example of Tuple: (1, 'hello', 3.14)
Python uses automatic memory management through garbage collection.
Python uses reference counting to keep track of memory usage.
When an object's reference count drops to zero, it is deleted.
Python also uses a garbage collector to handle circular references.
Memory allocation is handled by the Python memory manager.
Python provides tools like the 'gc' module for managing memory usage.
Yes, numpy and pandas are Python libraries used for data analysis and manipulation.
NumPy is used for numerical operations on arrays and matrices.
Pandas is used for data manipulation and analysis, providing data structures like DataFrame.
Both libraries are commonly used in data science and machine learning.
Example: import numpy as np; import pandas as pd;
Generator generates values on the fly while iterator iterates over a collection of values.
Generator is a function that returns an iterator.
Generators use 'yield' keyword to return values one at a time.
Iterators are objects that implement the 'next' method to return the next value in a collection.
Iterators can be created from arrays, strings, maps, sets, etc.
Generators are useful for generating large sequences of values...
I applied via LinkedIn and was interviewed in Sep 2021. There were 4 interview rounds.
There were 4 sections-
1.Big data-some multiple choice questions
2.Python-2 basic programming questions
3.SQL-4 case questions on SQL queries
4.Pyspark-Basic multiple choice questions
Same as round 1 but there were no multiple choice questions,it was a subjective paper where they check your thought process and your approach.
I applied via Naukri.com and was interviewed in Sep 2021. There were 3 interview rounds.
Microservice design pattern focuses on breaking down a large application into smaller, independent services.
Each microservice is responsible for a specific function or feature
Communication between microservices is typically done through APIs
Microservices can be developed, deployed, and scaled independently
Examples: Netflix, Amazon, Uber
based on 4 interviews
4 Interview rounds
based on 47 reviews
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