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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
Databricks is a unified data analytics platform that includes components like Databricks Workspace, Databricks Runtime, and Databricks Delta.
Databricks Workspace: Collaborative environment for data science and engineering teams.
Databricks Runtime: Optimized Apache Spark cluster for data processing.
Databricks Delta: Unified data management system for data lakes.
To read a JSON file, use a programming language's built-in functions or libraries to parse the file and extract the data.
Use a programming language like Python, Java, or JavaScript to read the JSON file.
Import libraries like json in Python or json-simple in Java to parse the JSON data.
Use functions like json.load() in Python to load the JSON file and convert it into a dictionary or object.
Access the data in the JSON fi...
To find the second highest salary in SQL, use the MAX function with a subquery or the LIMIT clause.
Use the MAX function with a subquery to find the highest salary first, then use a WHERE clause to exclude it and find the second highest salary.
Alternatively, use the LIMIT clause to select the second highest salary directly.
Make sure to handle cases where there may be ties for the highest salary.
Spark cluster configuration involves setting up memory, cores, and other parameters for optimal performance.
Specify the number of executors and executor memory
Set the number of cores per executor
Adjust the driver memory based on the application requirements
Configure shuffle partitions for efficient data processing
Enable dynamic allocation for better resource utilization
posted on 31 Dec 2024
I applied via Recruitment Consulltant and was interviewed before Dec 2023. There were 4 interview rounds.
I cannot recall the platform, but it featured a combination of Python and SQL questions, with the majority being focused on SQL.
I applied via Naukri.com and was interviewed before Feb 2022. There were 4 interview rounds.
MCQ SQL round coding easy questions
I applied via Naukri.com and was interviewed in Jun 2021. There were 4 interview rounds.
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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