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I applied via Naukri.com and was interviewed in Apr 2024. There were 4 interview rounds.
Sicario based questions in Databricks and azure data factory
I applied via Naukri.com and was interviewed in Jun 2023. There were 4 interview rounds.
Top trending discussions
I applied via Job Portal and was interviewed in Mar 2024. There were 3 interview rounds.
Spark cluster sizing depends on workload, data size, memory requirements, and processing speed.
Consider the size of the data being processed
Take into account the memory requirements of the Spark jobs
Factor in the processing speed needed for the workload
Scale the cluster based on the number of nodes and cores required
Monitor performance and adjust cluster size as needed
Implement a pipeline based on given conditions and data requirement
I applied via Job Fair and was interviewed before Feb 2023. There were 3 interview rounds.
1 hour, 2 coding and 20 MCQs
posted on 6 Jan 2024
I applied via Campus Placement and was interviewed before Jan 2023. There were 4 interview rounds.
Aptitude test has 70 questions to be done in 75 minutes. It's moderately tough but not very tough with right amount of preparation
I was from non-cs background so coding round was not mandatory but for cs people it was mandatory to clear it. It has SQL and python and they were easy to moderate. I am a fresher (imagineer) so we had to go this interview process
I applied via Naukri.com and was interviewed before Aug 2023. There were 4 interview rounds.
Quantitative Analysis, Data Interpretation, Logical Reasoning
I applied via LinkedIn and was interviewed before Jul 2023. There were 2 interview rounds.
It's a coding test of python and sql for 1-2, years of role and an aptitude test of verbal,quants,reasoning and data interpretation questions
Questions related to python,sql,pandas,numpy,previous projects
I applied via LinkedIn and was interviewed in Aug 2020. There were 5 interview rounds.
Commands that run on driver and executor in a word count Spark program.
The command to read the input file and create RDD will run on driver.
The command to split the lines and count the words will run on executor.
The command to aggregate the word counts and write the output will run on driver.
Driver sends tasks to executors and coordinates the overall job.
Executor processes the tasks assigned by the driver.
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