Azure Cloud Data Engineer Mock Interview | Important Questions asked in Big Data Interviews| Pyspark

𝐓𝐨 𝐞𝐧𝐡𝐚𝐧𝐜𝐞 𝐲𝐨𝐮𝐫 𝐜𝐚𝐫𝐞𝐞𝐫 𝐚𝐬 𝐚 𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫, 𝐂𝐡𝐞𝐜𝐤 https://trendytech.in/?src=youtube&sub=mockdec for curated courses developed by me. I have trained over 20,000+ professionals in the field of Data Engineering in the last 5 years. 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) : https://rzp.io/l/SQLINR 𝐑𝐞𝐠𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐋𝐢𝐧𝐤 (𝐂𝐨𝐮𝐫𝐬𝐞 𝐀𝐜𝐜𝐞𝐬𝐬 𝐟𝐫𝐨𝐦 𝐨𝐮𝐭𝐬𝐢𝐝𝐞 𝐈𝐧𝐝𝐢𝐚) : 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, Umesh Kumar Roy, https://www.linkedin.com/in/umesh-kumar-roy/ shares invaluable insights and practical guidance drawn from his extensive expertise in the Big Data Domain. Our expert guest interviewee, Satyam Meena, https://www.linkedin.com/in/satyam-meena-0a1b46138/ 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! Social Media Links : LinkedIn - https://www.linkedin.com/in/bigdatabysumit/ Twitter - https://twitter.com/bigdatasumit Instagram - https://www.instagram.com/bigdatabysumit/ Student Testimonials - https://trendytech.in/#testimonials TIMESTAMPS : Questions Discussed 00:50 Introduction 02:10 What sources do you use for data ingestion? 02:25 What connectors do you use for data ingestion? 02:45 How do you store and transform data after ingestion? 03:58 How are you preprocessing the data? 04:41 How do you eliminate duplicate records? 05:12 How do you ensure the correct records when handling duplicates? 05:50 How is your storage layer designed? Do you use mounting techniques? 06:04 Do you use delta files? Why? 07:00 What optimization techniques have you implemented? 08:05 Do you use partitions? 08:24 What factors do you consider when partitioning? 09:11 Do you use bucketing? 09:36 What are the use cases for partitioning and bucketing? 10:33 Besides broadcast joins, what other joins do you use? 10:52 Which join is the most efficient? 11:50 What is the difference between narrow and wide transformations? 12:26 What is your understanding about Spark and Databricks? 13:22 How do you consume data from the gold layer? 14:42 How do you connect Power BI to Azure Synapse? 15:46 Can you outline Spark architecture? 17:07 What is a DAG? 18:15 What is the difference between client mode and cluster mode? 19:29 Have you faced any challenges with cluster mode? 20:50 Why do DataFrames and Datasets exist? 22:17 What do you understand by normalization? 22:51 What other optimization techniques do you use? 23:33 SQL query Music track: Retro by Chill Pulse Source: https://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