Sonata Software Interview Questions, Process, and Tips

Q1. Tell about your current project
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Q2. What is distribution in spark
Ans. 
Distribution in Spark refers to how data is divided across different nodes in a cluster for parallel processing.
• Data is partitioned across multiple nodes in a cluster to enable parallel processing

• Distribution can be controlled using partitioning techniques like hash partitioning or range partitioning

• Ensures efficient utilization of resources and faster processing times
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Q3. How much data can be processed in AWS Glue
Ans. 
AWS Glue can process petabytes of data per hour
• AWS Glue can process petabytes of data per hour, depending on the configuration and resources allocated

• It is designed to scale horizontally to handle large volumes of data efficiently

• AWS Glue can be used for ETL (Extract, Transform, Load) processes on massive datasets
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Q1. What is distribution in spark ?
Ans. 
Distribution in Spark refers to how data is divided across different nodes in a cluster for parallel processing.
• Distribution in Spark determines how data is partitioned across different nodes in a cluster

• It helps in achieving parallel processing by distributing the workload

• Examples of distribution methods in Spark include hash partitioning and range partitioning
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Q2. How much data can be processed in AWS glue
Ans. 
AWS Glue can process petabytes of data per hour.
• AWS Glue can process petabytes of data per hour, making it suitable for large-scale data processing tasks.

• It can handle various types of data sources, including structured and semi-structured data.

• AWS Glue offers serverless ETL (Extract, Transform, Load) capabilities, allowing for scalable and cost-effective data processing.

• It integrates seamlessly with other AWS services...read more
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Q3. What is spark and pyspark
Ans. 
Spark is a fast and general-purpose cluster computing system, while PySpark is the Python API for Spark.
• Spark is a distributed computing system that provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.

• PySpark is the Python API for Spark that allows developers to write Spark applications using Python.

• Spark and PySpark are commonly used for big data processing, machine...read more
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First round was Aptitude round, Questions were tricky.

Q1. Second round was Technical Round -1, here they asked about introduction, project and ML
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Q1. Third round was Technical round -3, here the interviewer gave me situational based questions and i had to answer them
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Q1. Self introduction
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Q2. Rotate a 2d matrix by 90 degree
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Q3. Search key in 2d
Ans. 
Search for a key in a 2D array where rows and columns are sorted in ascending order.
• Iterate through each row and column to search for the key

• Start from the top right corner or bottom left corner for efficient search

• Use binary search within each row or column for faster search
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Q4. Maximus sum substring
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Q5. SQL query to calculate average salary of each department
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Q1. What is the SMTP?
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Q2. What is the RSMTP?
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Q3. Tell about TCP Rest
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