Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Elasticsearch and Kafka - Part 2

The video tutorial demonstrates setting up a data pipeline using Kafka, Logstash, and Elasticsearch. It begins with configuring Logstash to listen to a Kafka stream, followed by starting the Logstash and Kafka server processes. The tutorial then shows how to publish data into Kafka using a console producer script. It verifies the data flow from Kafka to Elasticsearch, ensuring the data is indexed correctly. Finally, it concludes with cleaning up by shutting down the processes and returning to a clean state.

What is the default port used for Kafka when setting up Logstash?

• 9092

• 8080

• 7070

• 6060

What is the role of Logstash in the Kafka setup?

• To store data permanently

• To listen to Kafka topics and index data into Elasticsearch

• To manage Kafka server configurations

• To produce data into Kafka

Which script is used to publish data into Kafka?

• Kafka console consumer script

• Kafka console producer script

• Kafka indexer script

• Kafka server script

How does Logstash interact with Kafka in this setup?

• Logstash manages Kafka server configurations

• Logstash consumes data from Kafka and indexes it into Elasticsearch

• Logstash produces data to Kafka

• Logstash stores data in Kafka

What is the significance of the Kafka logs topic in this setup?

• It is the topic where data is published and consumed

• It is used for data backup

• It manages Kafka server configurations

• It stores the final indexed data

What is the purpose of using complex systems like Kafka and Logstash in big data?

• To eliminate the need for data indexing

• To simplify data storage

• To ensure data resilience and manage large volumes

• To reduce data processing time

What command is used to verify if the new Kafka index exists in Elasticsearch?

• curl -X POST

• curl -X DELETE

• curl -X PUT

• curl -X GET