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LTIMindtree
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I applied via campus placement at Velammal Engineering College, Chennai and was interviewed in Oct 2024. There was 1 interview round.
Analytical reasoning, problem solving
Reasoning and quantitative and aptitude questions
Java coding base test
Yes, I am open to relocating for the right opportunity.
I am willing to relocate for the right job opportunity
I have relocated for previous jobs and am comfortable with the process
I am open to exploring new locations and experiences
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LTIMindtree interview questions for popular designations
I applied via campus placement at Sastra University and was interviewed in Jul 2024. There were 3 interview rounds.
The basic aptitude test included both quantitative and verbal sections, while the technical questions were also quite fundamental. Additionally, there was a communication round.
Get interview-ready with Top LTIMindtree Interview Questions
I applied via Naukri.com
My vision of growth involves continuous learning, taking on new challenges, and expanding my skill set to contribute effectively to the team and organization.
Continuous learning through training programs and certifications
Taking on new and challenging projects to expand expertise
Building strong relationships with colleagues and mentors for guidance and support
Seeking opportunities for leadership roles to develop manage
It was a good, asked in depth
Good, given two questions
Use SQL query with MAX function to find the highest salary in a table.
Use SELECT MAX(salary) FROM table_name;
Make sure to replace 'salary' with the actual column name in the table.
Ensure proper permissions to access the table.
Dense rank in SQL assigns a unique rank to each distinct row in a result set, with no gaps between the ranks.
Dense rank is used to assign a rank to each row in a result set without any gaps.
It differs from regular rank in that it does not skip ranks if there are ties.
For example, if two rows have the same value and are ranked 1st, the next row will be ranked 2nd, not 3rd.
Spark cluster is a group of interconnected computers that work together to process large datasets using Apache Spark.
Consists of a master node and multiple worker nodes
Master node manages the distribution of tasks and resources
Worker nodes execute the tasks in parallel
Used for processing big data and running distributed computing jobs
Hive is a data warehouse system built on top of Hadoop for querying and analyzing large datasets stored in HDFS.
Hive translates SQL-like queries into MapReduce jobs to process data stored in HDFS
It uses a metastore to store metadata about tables and partitions
HiveQL is the query language used in Hive, similar to SQL
Hive supports partitioning, bucketing, and indexing for optimizing queries
Os,cn,coding snaoshoot,grammer,english and voice test
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3-8 Yrs
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