Azure Data Engineer Interview Questions and Answers | K21Academy
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🤵 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 is the complex task of making raw data used by data scientists and groups within an organization. Data engineering encompasses numerous specialities of data science.😮
📌 𝗔𝘇𝘂𝗿𝗲 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 are responsible for data-related implementation tasks that include provisioning the following :
➡️ Data storage services
➡️ Ingesting streaming and batch data
➡️ Implementing security requirements
➡️ Implementing data retention policies
➡️ Identifying performance bottlenecks
➡️ Accessing external data sources
💰 𝗦𝗮𝗹𝗮𝗿𝘆 - The average azure data engineer salary in the USA is $136,500 per year or $70 per hour. Entry-level positions start at $115,333 per year while most experienced workers make up to $160,000 per year. 😍🤑
🧠 You can ace your upcoming interviews by going through our hand-picked questions that are probable to be asked in your interviews.
🤔 𝐖𝐚𝐧𝐭 𝐭𝐨 𝐊𝐧𝐨𝐰 𝐦𝐨𝐫𝐞 𝐚𝐛𝐨𝐮𝐭 𝐀𝐳𝐮𝐫𝐞 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐚𝐧𝐝 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬?
𝐖𝐚𝐭𝐜𝐡 𝐭𝐡𝐞 𝐚𝐛𝐨𝐯𝐞 𝐯𝐢𝐝𝐞𝐨 𝐧𝐨𝐰 🚀
𝐖𝐡𝐞𝐫𝐞 𝐬𝐡𝐞 𝐞𝐱𝐩𝐥𝐚𝐢𝐧𝐬:
00:00 = Introduction
00:51 = What is Microsoft Azure?
01:18 = What are the different types of storage in Azure?
02:37 = What is data redundancy in Azure?
04:00 = What are multi-model databases?
04:49 = What are some ways to ingest data from on-premises storage to Azure?
05:59 = What is the best way to migrate data from an on-premise database to Azure?
07:14 = Difference between ADLS and Azure Synapse Analytics
07:58 = What are the various consistency models available in Cosmos DB?
09:35 = What is Azure Cosmos DB synthetic partition key?
10:14 = How do you capture streaming data in Azure?
11:18 = 20 More Azure Data Engineer Interview Questions
28:47 = Registration Link for FREE CLASS on DP-203
28:54 = How to Register for the FREE CLASS?
𝐅𝐨𝐫 𝐦𝐨𝐫𝐞 𝐢𝐧-𝐝𝐞𝐩𝐭𝐡 𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐨𝐧 𝐭𝐡𝐢𝐬, 𝐫𝐞𝐚𝐝 𝐭𝐡𝐢𝐬 𝐛𝐥𝐨𝐠 https://bit.ly/3bkig2b
𝐀𝐥𝐬𝐨, 𝐝𝐨 𝐧𝐨𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐣𝐨𝐢𝐧 𝐮𝐬 𝐨𝐧 𝐨𝐮𝐫 𝐅𝐑𝐄𝐄 𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦 𝐠𝐫𝐨𝐮𝐩 https://t.me/k21microsoftazure, 𝐚𝐧𝐝 𝐛𝐞 𝐭𝐡𝐞 𝐟𝐢𝐫𝐬𝐭 𝐭𝐨 𝐫𝐞𝐜𝐞𝐢𝐯𝐞 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐀𝐳𝐮𝐫𝐞-𝐫𝐞𝐥𝐚𝐭𝐞𝐝 𝐧𝐞𝐰𝐬 𝐚𝐧𝐝 𝐮𝐩𝐝𝐚𝐭𝐞𝐬.
🤔 𝐃𝐨 𝐲𝐨𝐮 𝐡𝐚𝐯𝐞 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬? 𝐋𝐞𝐭 𝐮𝐬 𝐤𝐧𝐨𝐰 𝐢𝐧 𝐭𝐡𝐞 𝐜𝐨𝐦𝐦𝐞𝐧𝐭 𝐬𝐞𝐜𝐭𝐢𝐨𝐧
#dataengineer #azuredataengineer #dataengineerinterview #dataengineerinterviewquestions #azuredataengineerinterviewquestions
#dataengineerinterviewguide #azureinterview #azuresynapseanalytics #azurestreamanalytics #azurestorage #azure #microsoftazure #k21academy #askatul
Subscribe us and know more about latest Cloud technology: https://k21academy.com/youtube
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See you next video!
————————————
🌐 Blog on Azure Data Engineer Interview Questions 2024: https://bit.ly/4c2s3Y9
————————————
📞 Need Career Guidance or Cloud Certifications? Apply to Work with Us: https://bit.ly/3V5r96q
————————————
🚀If you're new to the cloud and want to build a strong foundation in cloud technology, join our Skool Community: https://bit.ly/3vFBcX7
————————————
📩 Join 2,05,000+ Learning How To Scale Cloud/AI/Data Career By Subscribing For Free To The “Cloud/AI/Data Newsletter": https://bit.ly/4bTGRbe
————————————
🤵 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 is the complex task of making raw data used by data scientists and groups within an organization. Data engineering encompasses numerous specialities of data science.😮
📌 𝗔𝘇𝘂𝗿𝗲 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 are responsible for data-related implementation tasks that include provisioning the following :
➡️ Data storage services
➡️ Ingesting streaming and batch data
➡️ Implementing security requirements
➡️ Implementing data retention policies
➡️ Identifying performance bottlenecks
➡️ Accessing external data sources
💰 𝗦𝗮𝗹𝗮𝗿𝘆 - The average azure data engineer salary in the USA is $136,500 per year or $70 per hour. Entry-level positions start at $115,333 per year while most experienced workers make up to $160,000 per year. 😍🤑
🧠 You can ace your upcoming interviews by going through our hand-picked questions that are probable to be asked in your interviews.
🤔 𝐖𝐚𝐧𝐭 𝐭𝐨 𝐊𝐧𝐨𝐰 𝐦𝐨𝐫𝐞 𝐚𝐛𝐨𝐮𝐭 𝐀𝐳𝐮𝐫𝐞 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐚𝐧𝐝 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬?
𝐖𝐚𝐭𝐜𝐡 𝐭𝐡𝐞 𝐚𝐛𝐨𝐯𝐞 𝐯𝐢𝐝𝐞𝐨 𝐧𝐨𝐰 🚀
𝐖𝐡𝐞𝐫𝐞 𝐬𝐡𝐞 𝐞𝐱𝐩𝐥𝐚𝐢𝐧𝐬:
00:00 = Introduction
00:51 = What is Microsoft Azure?
01:18 = What are the different types of storage in Azure?
02:37 = What is data redundancy in Azure?
04:00 = What are multi-model databases?
04:49 = What are some ways to ingest data from on-premises storage to Azure?
05:59 = What is the best way to migrate data from an on-premise database to Azure?
07:14 = Difference between ADLS and Azure Synapse Analytics
07:58 = What are the various consistency models available in Cosmos DB?
09:35 = What is Azure Cosmos DB synthetic partition key?
10:14 = How do you capture streaming data in Azure?
11:18 = 20 More Azure Data Engineer Interview Questions
28:47 = Registration Link for FREE CLASS on DP-203
28:54 = How to Register for the FREE CLASS?
𝐅𝐨𝐫 𝐦𝐨𝐫𝐞 𝐢𝐧-𝐝𝐞𝐩𝐭𝐡 𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐨𝐧 𝐭𝐡𝐢𝐬, 𝐫𝐞𝐚𝐝 𝐭𝐡𝐢𝐬 𝐛𝐥𝐨𝐠 https://bit.ly/3bkig2b
𝐀𝐥𝐬𝐨, 𝐝𝐨 𝐧𝐨𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐣𝐨𝐢𝐧 𝐮𝐬 𝐨𝐧 𝐨𝐮𝐫 𝐅𝐑𝐄𝐄 𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦 𝐠𝐫𝐨𝐮𝐩 https://t.me/k21microsoftazure, 𝐚𝐧𝐝 𝐛𝐞 𝐭𝐡𝐞 𝐟𝐢𝐫𝐬𝐭 𝐭𝐨 𝐫𝐞𝐜𝐞𝐢𝐯𝐞 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐀𝐳𝐮𝐫𝐞-𝐫𝐞𝐥𝐚𝐭𝐞𝐝 𝐧𝐞𝐰𝐬 𝐚𝐧𝐝 𝐮𝐩𝐝𝐚𝐭𝐞𝐬.
🤔 𝐃𝐨 𝐲𝐨𝐮 𝐡𝐚𝐯𝐞 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬? 𝐋𝐞𝐭 𝐮𝐬 𝐤𝐧𝐨𝐰 𝐢𝐧 𝐭𝐡𝐞 𝐜𝐨𝐦𝐦𝐞𝐧𝐭 𝐬𝐞𝐜𝐭𝐢𝐨𝐧
#dataengineer #azuredataengineer #dataengineerinterview #dataengineerinterviewquestions #azuredataengineerinterviewquestions
#dataengineerinterviewguide #azureinterview #azuresynapseanalytics #azurestreamanalytics #azurestorage #azure #microsoftazure #k21academy #askatul
Subscribe us and know more about latest Cloud technology: https://k21academy.com/youtube
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See you next video!
3 سال پیش
در تاریخ 1400/08/07 منتشر شده
است.
30,601
بـار بازدید شده