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Apache Flink Practice Test Questions
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Apache Flink is an open-source, unified stream-processing and batch-processing framework developed by the Apache Software Foundation. The core of Apache Flink is a distributed streaming data-flow engine written in Java and Scala. Flink executes arbitrary dataflow programs in a data-parallel and pipelined manner.
 

Flink vs Kafka: Kafka Streams is a Java library, while Flink is a separate cluster infrastructure.

Apache Flink Practice Test Questions
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25 Questions

1. Does Java and Scala programming languages support DataStream API?
2. Which of the following is True about Apache Flink?
3. Apache Flink is written in which of the following language?
4. Which of the following method is used to aggregate data in a stream by merging several components based on a supplied function into a single element?
5. What do you mean by CEP?
6. Which of the following architectural component of Apache Flink is in charge of accepting code (software) and creating a job dataflow graph, which is subsequently passed to JobManager?
7. Which of the following API is used to conduct batch actions on data over time?
8. Which of the following method is used to build custom data processing logic on a stream?
9. Which of the following method is used to aggregate data in a stream by merging several components based on a supplied function into a single element?
10. Is Apache Flink scalable?
11. Which of the following architectural component of Apache Flink is in charge of accepting code (software) and creating a job dataflow graph, which is subsequently passed to JobManager?
12. Which of the following API is a relational API with SQL-like expression language?
13. The ____ function partitions a data stream based on a given key or key field.
14. The Task Manager is in charge of carrying out the dataflow task and reporting the results to the ____.
15. Which of the following API for analyzing event patterns in continuous streaming data?
16. Which of the following architectural component of Apache Flink is responsible for building the execution graph after receiving the Job Dataflow Graph from the Client?
17. Which of the following is Apache Flink's Graph API?
18. Which of the following function removes undesired components from a data stream depending on a criterion?
19. Which of the following API is used to conduct batch actions on data over time?
20. Which of the following processes makes use of a bounded data stream?
21. Which of the following API for analyzing event patterns in continuous streaming data?
22. Each element of a data stream is transformed into zero, one, or many items of another stream using the ____ function.
23. What do you mean by CEP?
24. Which of the following is True about Apache Flink?
25. The ____ function partitions a data stream based on a given key or key field.

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