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Spark has a master-slave architecture with a cluster manager and worker nodes.
Spark has a driver program that communicates with a cluster manager to allocate resources and schedule tasks.
The cluster manager can be standalone, Mesos, or YARN.
Worker nodes execute tasks and store data in memory or on disk.
Spark can also utilize external data sources like Hadoop Distributed File System (HDFS) or Amazon S3.
Spark supports va...
ADLS is Azure Data Lake Storage, a scalable and secure data lake solution in Azure.
ADLS is designed for big data analytics workloads
It supports Hadoop Distributed File System (HDFS) and Blob storage APIs
It provides enterprise-grade security and compliance features
To pass parameters from ADF to Databricks, use the 'Set Parameters' activity in ADF and reference them in Databricks notebooks
I applied via Walk-in and was interviewed in May 2021. There were 4 interview rounds.
I appeared for an interview in May 2021.
I applied via Naukri.com and was interviewed before Aug 2021. There were 3 interview rounds.
MCQ based online test for the technology being interviewed for
I applied via Walk-in and was interviewed before Feb 2020. There was 1 interview round.
I applied via Campus Placement and was interviewed before Jan 2021. There were 4 interview rounds.
I have worked on various technologies including Hadoop, Spark, SQL, Python, and AWS.
Experience with Hadoop and Spark for big data processing
Proficient in SQL for data querying and manipulation
Skilled in Python for data analysis and scripting
Familiarity with AWS services such as S3, EC2, and EMR
Knowledge of data warehousing and ETL processes
I applied via Campus Placement and was interviewed before Jul 2021. There were 3 interview rounds.
In this round we have aptitude plus coding mcq questions
Here we have to write full fledge code 2 questions were there and are easy
based on 1 interview
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