๐๐จ ๐๐ง๐ก๐๐ง๐๐ ๐ฒ๐จ๐ฎ๐ซ ๐๐๐ซ๐๐๐ซ ๐๐ฌ ๐ ๐๐ฅ๐จ๐ฎ๐ ๐๐๐ญ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ, ๐๐ก๐๐๐ค https://trendytech.in/?src=youtube&sub=mockdec for curated courses developed by me.
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๐๐๐ง๐ญ ๐ญ๐จ ๐๐๐ฌ๐ญ๐๐ซ ๐๐๐? ๐๐๐๐ซ๐ง ๐๐๐ ๐ญ๐ก๐ ๐ซ๐ข๐ ๐ก๐ญ ๐ฐ๐๐ฒ ๐ญ๐ก๐ซ๐จ๐ฎ๐ ๐ก ๐ญ๐ก๐ ๐ฆ๐จ๐ฌ๐ญ ๐ฌ๐จ๐ฎ๐ ๐ก๐ญ ๐๐๐ญ๐๐ซ ๐๐จ๐ฎ๐ซ๐ฌ๐ - ๐๐๐ ๐๐ก๐๐ฆ๐ฉ๐ข๐จ๐ง๐ฌ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ!
"๐ 8 ๐ฐ๐๐๐ค ๐๐ซ๐จ๐ ๐ซ๐๐ฆ ๐๐๐ฌ๐ข๐ ๐ง๐๐ ๐ญ๐จ ๐ก๐๐ฅ๐ฉ ๐ฒ๐จ๐ฎ ๐๐ซ๐๐๐ค ๐ญ๐ก๐ ๐ข๐ง๐ญ๐๐ซ๐ฏ๐ข๐๐ฐ๐ฌ ๐จ๐ ๐ญ๐จ๐ฉ ๐ฉ๐ซ๐จ๐๐ฎ๐๐ญ ๐๐๐ฌ๐๐ ๐๐จ๐ฆ๐ฉ๐๐ง๐ข๐๐ฌ ๐๐ฒ ๐๐๐ฏ๐๐ฅ๐จ๐ฉ๐ข๐ง๐ ๐ ๐ญ๐ก๐จ๐ฎ๐ ๐ก๐ญ ๐ฉ๐ซ๐จ๐๐๐ฌ๐ฌ ๐๐ง๐ ๐๐ง ๐๐ฉ๐ฉ๐ซ๐จ๐๐๐ก ๐ญ๐จ ๐ฌ๐จ๐ฅ๐ฏ๐ ๐๐ง ๐ฎ๐ง๐ฌ๐๐๐ง ๐๐ซ๐จ๐๐ฅ๐๐ฆ."
๐๐๐ซ๐ ๐ข๐ฌ ๐ก๐จ๐ฐ ๐ฒ๐จ๐ฎ ๐๐๐ง ๐ซ๐๐ ๐ข๐ฌ๐ญ๐๐ซ ๐๐จ๐ซ ๐ญ๐ก๐ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ -
๐๐๐ ๐ข๐ฌ๐ญ๐ซ๐๐ญ๐ข๐จ๐ง ๐๐ข๐ง๐ค (๐๐จ๐ฎ๐ซ๐ฌ๐ ๐๐๐๐๐ฌ๐ฌ ๐๐ซ๐จ๐ฆ ๐๐ง๐๐ข๐) : https://rzp.io/l/SQLINR
๐๐๐ ๐ข๐ฌ๐ญ๐ซ๐๐ญ๐ข๐จ๐ง ๐๐ข๐ง๐ค (๐๐จ๐ฎ๐ซ๐ฌ๐ ๐๐๐๐๐ฌ๐ฌ ๐๐ซ๐จ๐ฆ ๐จ๐ฎ๐ญ๐ฌ๐ข๐๐ ๐๐ง๐๐ข๐) : https://rzp.io/l/SQLUSD
BIG DATA INTERVIEW SERIES
This mock interview series is launched as a community initiative under Data Engineers Club aimed at aiding the community's growth and development
Our highly experienced guest interviewer, Ganesh Ramdas Kudale, https://www.linkedin.com/in/ganesh-kudale-50bb14ab? shares invaluable insights and practical guidance drawn from his extensive expertise in the Big Data Domain.
Our expert guest interviewee, Prithvi Salve, https://www.linkedin.com/in/prithvi-salve-45545a1ba has an interesting approach to answering the interview questions on Apache Spark, SQL and Azure Cloud Services.
Link of Free SQL & Python series developed by me are given below -
SQL Playlist - https://www.youtube.com/playlist?list=PLtgiThe4j67rAoPmnCQmcgLS4iIc5ungg
Python Playlist - https://www.youtube.com/playlist?list=PLtgiThe4j67pQSwkaEF9uHXzr8Td9IEpV
Don't miss out - Subscribe to the channel for more such informative interviews and unlock the secrets to success in this thriving field!
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LinkedIn - https://www.linkedin.com/in/bigdatabysumit/
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Student Testimonials - https://trendytech.in/#testimonials
TIMESTAMPS : Questions Discussed
01:00 Introduction
01:47 What is Hadoop and how does it work?
03:09 Why move from MapReduce to Spark?
05:07 Does Spark provide storage?
05:47 Give a high-level explanation of Spark.
06:50 Why switch from RDDs to DataFrames in Spark?
07:53 Which languages does Spark support?
08:27 What are RDDs and their importance?
09:47 What happens during actions/transformations in Spark?
11:15 Explain Spark architecture.
13:06 What are deployment modes and their use cases?
14:30 Describe the plans created when executing a Spark job.
16:00 What is a predicate push down?
18:10 Explain jobs, stages, and tasks in Spark.
19:10 What are the types of transformations in Spark?
20:38 Difference between repartition and coalesce?
23:30 Should you infer schema or specify it when creating a DataFrame?
24:19 What are the ways to enforce schema? Provide an example.
24:54 SQL coding questions
41:09 Which Azure cloud services have you used?
41:35 Explain Databricks architecture at a high level.
42:40 How do you run SQL queries in Databricks?
44:10 How can one notebook run another in Databricks?
45:35 Can you use parameters when running Databricks notebooks?
46:07 Difference between Data Lake and Delta Lake? Pros and cons of each.
48:11 What activities are available in ADF?
49:09 Scenario-Based question
Music track: Retro by Chill Pulse
Source: https://freetouse.com/music
Background Music for Video (Free)
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#mockinterview #bigdata #career #dataengineering #data #datascience #dataanalysis #productbasedcompanies #interviewquestions #apachespark #google #interview #faang #companies #amazon #walmart #flipkart #microsoft #azure #databricks #jobs