Top Big Data Interview Questions asked in 2024 | Cloud Data Engineer | Azure | Spark | SQL

𝐓𝐨 𝐞𝐧𝐡𝐚𝐧𝐜𝐞 𝐲𝐨𝐮𝐫 𝐜𝐚𝐫𝐞𝐞𝐫 𝐚𝐬 𝐚 𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫, 𝐂𝐡𝐞𝐜𝐤 trendytech.in/?src=youtube&su... for curated courses developed by me.
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𝐖𝐚𝐧𝐭 𝐭𝐨 𝐌𝐚𝐬𝐭𝐞𝐫 𝐒𝐐𝐋? 𝐋𝐞𝐚𝐫𝐧 𝐒𝐐𝐋 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐰𝐚𝐲 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐬𝐨𝐮𝐠𝐡𝐭 𝐚𝐟𝐭𝐞𝐫 𝐜𝐨𝐮𝐫𝐬𝐞 - 𝐒𝐐𝐋 𝐂𝐡𝐚𝐦𝐩𝐢𝐨𝐧𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦!
"𝐀 8 𝐰𝐞𝐞𝐤 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 𝐝𝐞𝐬𝐢𝐠𝐧𝐞𝐝 𝐭𝐨 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐜𝐫𝐚𝐜𝐤 𝐭𝐡𝐞 𝐢𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐬 𝐨𝐟 𝐭𝐨𝐩 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐛𝐚𝐬𝐞𝐝 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐛𝐲 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐢𝐧𝐠 𝐚 𝐭𝐡𝐨𝐮𝐠𝐡𝐭 𝐩𝐫𝐨𝐜𝐞𝐬𝐬 𝐚𝐧𝐝 𝐚𝐧 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐭𝐨 𝐬𝐨𝐥𝐯𝐞 𝐚𝐧 𝐮𝐧𝐬𝐞𝐞𝐧 𝐏𝐫𝐨𝐛𝐥𝐞𝐦."
𝐇𝐞𝐫𝐞 𝐢𝐬 𝐡𝐨𝐰 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐫𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 -
𝐑𝐞𝐠𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐋𝐢𝐧𝐤 (𝐂𝐨𝐮𝐫𝐬𝐞 𝐀𝐜𝐜𝐞𝐬𝐬 𝐟𝐫𝐨𝐦 𝐈𝐧𝐝𝐢𝐚) : rzp.io/l/SQLINR
𝐑𝐞𝐠𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐋𝐢𝐧𝐤 (𝐂𝐨𝐮𝐫𝐬𝐞 𝐀𝐜𝐜𝐞𝐬𝐬 𝐟𝐫𝐨𝐦 𝐨𝐮𝐭𝐬𝐢𝐝𝐞 𝐈𝐧𝐝𝐢𝐚) : 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, / 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, / 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 -
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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: freetouse.com/music
Background Music for Video (Free)
Tags
#mockinterview #bigdata #career #dataengineering #data #datascience #dataanalysis #productbasedcompanies #interviewquestions #apachespark #google #interview #faang #companies #amazon #walmart #flipkart #microsoft #azure #databricks #jobs

[@rishabhkesarwani-br2rx]

The guy answered very well ! Got the good idea on what to say and what to avoid during interview

[@lazzybirdflying3225]

Though it is a mock interview, I appreciate his calm and pleasant responses to all the questions!

[@shaileshchile329]

Thanks for the videos. It's very helpful!

[@gudiatoka]

16:53 Broadcast join decided on the go or run time which is by Adaptive Query Execution not spark sql engine or catalytic optimizer as said

[@axatdewangan]

Great answers!

[@gudiatoka]

When ever transformation applied it never created a dag rather than it created a lineage between rrds and action created a DAG

[@shrikantkorate5933]

he answered to the point most of the questions very good

[@Nalaka-Wanniarachchi]

Well scored.

[@ravulapallivenkatagurnadha9605]

Continue this series

[@jithindev9185]

👏👏👏👏

[@user-nc9nt9nw5w]

The million dollar question is...."Is he selected"..??? and how did he do in the 2nd round..??..2nd round questions please..

[@RohitSharma-ny1oq]

Good explanation men😅

[@hdr-tech4350]

Java used in Hadoop Bound to work on mapreduce Can only work on batch process not real time in map reduce

[@suvenduku2]

Sir pls provide the questions in description

[@hdr-tech4350]

Spark core -Rdd (flexible) high level apis- Df and Spark sql (easy to write query) Transformation n action Spark submit process Deployment modes Types of transformation Repartition n coalesce Methods for schema enforcement - ddl, struct Consecutive wins in sql

[@rushirajkadge3995]

The row_number values for marks are not correct (35:16). The correct output is: Marks Row_number 100 1 100 2 99 1 98 1 98 2 98 3 97 1 96 1 95 1