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⚡ Apache Flink Interview Questions & Answers – Under 60 Seconds!

This video is an Apache Flink cheat sheet for data engineering interviews. Learn what Flink is and how it handles both real-time stream processing and batch data. We cover its APIs (DataStream and DataSet), how it integrates with Hadoop, various deployment options, and how to achieve high availability. The video also explains Flink's scalability and its ability to handle massive datasets.

Key Topics Covered:

Apache Flink: Stream and Batch Processing [00:07]
DataStream and DataSet APIs [00:18]
Integration with Hadoop [00:30]
Deployment and High Availability [00:36]
Scaling and memory management [00:48]

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Crack your next Big Data or Streaming Engineer interview with these rapid-fire Apache Flink questions! 💡

🎯 In this short video, you'll learn:

What is Apache Flink?

How is it different from Spark Streaming?

Key concepts: Event Time, Watermarks, State Management

Use cases of Flink in real-time data processing

Perfect for:
✅ Data Engineers
✅ Streaming Analytics Developers
✅ Big Data Job Aspirants

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