Apache Flink test - Big Data Engineer questions

Question 1

What is Flink's process function?

A technique to buffer incoming data to reduce contention in synchronization primitives A low-level API that allows developers to implement custom stateful stream processing functions A built-in function that computes the sum of all elements in a stream An optimization technique that analyzes the structure of a pipeline and reorders operators for better performance A feature that allows Flink to roll back to a previous checkpoint in case of failures A method to split streams into multiple output channels based on some partitioning 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?

Flink's window function is a type of operator in Apache Flink. Flink's window function is a way to batch process streaming data. 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 visualization tool. Flink's window function is a type of fault tolerance mechanism.

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?

Kafka Cassandra JDBC Elasticsearch HBase Salesforce

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.

Apache Flink

Big Data Engineer - Apache Flink Example Questions

Question 1

Question 2

Question 3

Go Premium