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Basics of maths and reasoning questions.
Coding question intermediate level.
I included all the questions from indiabix website
It has 2 basic coding question
The 4 pillars in DSA are Data Structures, Algorithms, Problem Solving, and Coding.
Data Structures - organizing and storing data effectively, examples include arrays, linked lists, trees
Algorithms - step-by-step procedures for solving problems, examples include sorting algorithms like quicksort, mergesort
Problem Solving - analyzing problems and devising solutions, examples include dynamic programming, greedy algorithms
C...
Encapsulation is the concept of bundling data and methods that operate on the data into a single unit.
Encapsulation helps in hiding the internal state of an object and restricting access to it.
It allows for better control over the data by preventing direct access from outside the class.
An example of encapsulation is a class in object-oriented programming that has private variables and public methods to access and modif
What people are saying about LTIMindtree
I applied via Approached by Company and was interviewed in Jun 2024. There were 2 interview rounds.
LTIMindtree interview questions for designations
I was interviewed in Jul 2024.
Sql question easy to hard
Get interview-ready with Top LTIMindtree Interview Questions
Python and sql code , handling different file formats
Using PySpark to handle different file formats
Use PySpark's built-in functions to read and write different file formats such as CSV, Parquet, JSON, etc.
Specify the file format when reading data using PySpark's read method, for example: spark.read.format('csv').load('file.csv')
When writing data, specify the file format using PySpark's write method, for example: df.write.format('parquet').save('file.parquet')
I applied via Approached by Company
Implement a Word Count program in Spark Scala
Use Spark's RDD API to read input text file
Split each line into words and map them to key-value pairs
ReduceByKey operation to count occurrences of each word
Save the result to an output file
Higher Order Functions in Scala are functions that take other functions as parameters or return functions as results.
Higher Order Functions allow for more concise and readable code.
Examples include map, filter, reduce, and flatMap in Scala.
They promote code reusability and modularity.
Higher Order Functions are a key feature of functional programming.
I applied via Job Portal and was interviewed before Nov 2023. There were 2 interview rounds.
One of the challenges faced in the project was managing large volumes of data efficiently.
Handling data ingestion and processing at scale
Optimizing data storage and retrieval
Ensuring data quality and consistency
Implementing efficient data pipelines
Dealing with real-time data streaming challenges
Some of the top questions asked at the LTIMindtree Data Engineer interview -
The duration of LTIMindtree Data Engineer interview process can vary, but typically it takes about less than 2 weeks to complete.
based on 68 interviews
4 Interview rounds
based on 340 reviews
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