Cloud Data Engineer Mock Interview | PySpark Coding Interview Questions |Azure Databricks
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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
30 INTERVIEWS IN 30 DAYS- 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
Ganesh Kudala, / ganesh-kudale-50bb14ab our seasoned guest interviewer, offers invaluable insights and practical advice drawn from his extensive experience in the Big Data domain.
Our proficient guest interviewee, SreeLakshmi Gosala, / sreelakshmi-gosala demonstrates an exceptional approach to tackling coding round interview questions in PySpark.
Link of Free SQL & Python series developed by me are given below -
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Timestamp : Questions Discussed
1:10 Introduction
2:38 Differences between Spark Core APIs and Higher-Level APIs?
5:00 RDD vs DataFrames vs Spark SQL: Which is the recommended approach in Spark?
6:22 What is a DAG? When is a DAG executed?
8:44 Explain Spark's job, stages, and tasks.
10:00 How does Spark execute a job from action invocation?
11:32 How to determine the number of partitions in a dataframe?
13:00 Pyspark Coding Question
18:03 Which is more efficient: inferring a schema or enforcing it?
20:06 Ways to enforce a schema?
24:05 DataFrame Read Modes?
26:00 DataFrame write modes?
28:04 What is Databricks, and what advantages does it offer over plain vanilla versions?
29:50 Explain medallion architecture in detail ?
Tags
#mockinterview #bigdata #career #dataengineering #data #datascience #dataanalysis #productbasedcompanies #interviewquestions #apachespark #google #interview #faang #companies #amazon #walmart #flipkart #microsoft #azure #databricks #jobs
Interviewer involvement is very high that is cooperative to the interviewee
the head nods always gets me ,but good interview though 😆😁
Good Job... Thank you for informative session
Keep watching for more such informational content
Good job team. Keep up this series.
Thank you for this informative content!
Happy to know you are finding it insightful
That was Good :)
Good job… Appreciative
Keep inspiring ❤
Good interview
Love this video.
best Interviewer and wish I will have same experience in next interview
best interviewer 😅
Thanks
@@ganeshkudale9975 are Sir thanks to u , we connect on Linkedin plz accept
Thank you sir
Thank you ❤
I Prepared everything for sparks and Azure data factory for Azure data engineering interview. When i sit in Azure data engineer interview why i didnot question on ADF and spark more . They ask only sql questions. Only 30% questions is okay from sql but they ask 70% from sql and only 30% from Adf and sparks
Theory question can anyone mock up like Practice Match. But SQL code in interview is like Live World cup match.
Brother I am not even getting interviews 😂 help me😊
@@KuldeepKumar-rt8fs yes but sql 40 50 % is okay that just happened in round 3 of the interview so now i changed and ready for everything.
@@KuldeepKumar-rt8fs and there are spark practical scenario based questions
@@chiragmehta8860 why change your profile optimize as per search
How is number of tasks equal to the number of wide transformations plus one?
Nice videos