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Apache Flink

Distributed stream and batch processing engine

Apache Flink is a distributed stream and batch processing engine that provides fast, reliable, and efficient processing of large volumes of data.
5 minutes 5 Questions

Apache Flink is a powerful open-source stream processing framework designed for distributed, high-performance, and precise data streaming applications. As a scalable data processing engine, Flink excels at both batch and real-time stream processing with exactly-once semantics, making it particularl…

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Big Data Engineer - Apache Flink Example Questions

Test your knowledge of Apache Flink

Question 1

What is Flink's process function?

Correct Answer: A low-level API that allows developers to implement custom stateful stream processing functions

Flink's process function is a low-level API that allows developers to implement custom stateful stream processing functions. With process functions, developers can implement custom logic for handling late events, implementing event-time processing, and maintaining state across events. This API provides a great deal of flexibility but also requires a higher level of expertise to use effectively.

Question 2

What is Flink's window function?

Correct Answer: Flink's window function is a way to divide data streams into finite sets or batches, which can be processed and analyzed individually.

Flink's window function is a way to divide data streams into finite sets or batches, which can be processed and analyzed individually. Window functions are used in stream processing to group data into segments, perform calculations on each of these segments, and produce intermediate results that can later be aggregated. Flink supports various types of window functions, such as time-based, count-based, and session-based windowing.

Question 3

Which of the following connectors is not natively supported by Apache Flink?

Correct Answer: Salesforce

Apache Flink comes with connectors for a wide range of data sources and sinks, including Kafka, Cassandra, Elasticsearch, HBase, and JDBC. However, Salesforce is not natively supported and would require a custom connector to be developed.

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