Azure Data Engineer Interview Questions | Azure Data Engineering Interview Questions and Answers – YouTube

Ace your Data engineering interview. This video covers Azure data engineer interview questions and answers for freshers and experienced candidates. Learn about azure data factory, azure synapse analytics, azure databricks, data lake storage, ETL pipelines, real-time data processing, partitioning, data security, and integration. We’ll cover everything from basic to advanced and scenario-based questions to help you clear Azure data engineer interview.

👉 Below are the concepts we covered in this video on Top 30 Azure Data Engineering Interview Questions and Answers:
00:00:00 Introduction
00:00:56 What is Azure data factory and why it is used
00:01:48 What are the different integration runtimes in Azure data factory
00:02:42 Explain a real-time scenario where you used Azure data lake
00:03:44 What are the main differences between Azure blob storage and data lake storage Gen2
00:04:36 In a real-time project how do you handle incremental data loads
00:05:12 What is PolyBase in azure synapse analytics
00:05:40 How do you design a pipeline that loads data every hour from multiple APIs into azure sql database
00:06:42 What are linked services in azure data factory
00:07:11 How do you handle schema drift in a data pipeline
00:07:37 What is the differences between azure synapse analytics and azure sql database
00:08:21 How would you migrate on-premises sql server data to azure in real time
00:10:16 Explain how azure databricks fits into a data engineering architecture
00:11:36 What are pipelines, datasets and activities in azure data factory
00:12:59 Your pipeline failed due to a timeout error while connecting to SQL database. How do you troubleshoot
00:14:27 How do you optimize performance in azure synapse analytics
00:15:36 How do you handle slowly changing dimensions in ADF
00:16:41 What is azure stream analytics and where would you use it
00:17:43 How would you secure sensitive data like credit card numbers in azure
00:18:55 What are delta tables in databricks and why are they useful
00:19:46 How do you implement data partioning in azure data lake for better performance
00:21:17 You need to design a modern data platform on azure for a bank. What services would you choose
00:23:37 How do you data lineage and governance in azure
00:24:24 Your synapse queries are slow due to skewed data distribution. How do you fix it.
00:25:32 How would you implement CI/CD for azure data factory
00:26:55 How would you implement real-time fraud detection using azure services
00:28:22 What are best practices for cost optimization in azure data engineering projects
00:29:24 How do you ensure high avalibility and disaster recovery for azure sql database
00:30:31 How do you handle data quality issues in azure data pipelines
00:31:42 Your spark job in databricks keeps failing with out-of-memory errors. How do you troubleshoot
00:32:56 What is lambda architecture and how can you implement in azure

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✅ About MindMajix’s Azure Data Engineer Training:
Azure Data Engineer certification training MindMajix helps us integrate, merge, and transform the data from different unstructured and structured sources into a structured one utilized for building analytics solutions. In this Azure Data Engineer course, trainees will learn to develop, support, and implement Microsoft BI solutions to satisfy client and market requirements. With our real-world projects and industry scenarios, you can get expertise in constructing solutions to ETL tools, Data warehouses, Data APIs, Database Systems, and Machine Learning.

🔑 Key Features
👉 Learn from Industry Experts.
👉 Gain Job-ready Skills.
👉 24/7 Support.
👉 Dedicated Learning Mentors.
👉 Guaranteed Job Interviews.
👉 Real-life Projects.
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