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&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) : 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, / 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, / 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 - • SQL tutorial for everyone by Sumit Si...
Python Playlist - • Complete Python By Sumit Mittal Sir
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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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
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