This tutorial demonstrates how to set up a Java project to interact with an Elasticsearch cluster. It covers creating a new module in IntelliJ, setting up Maven dependencies, and building an Elasticsearch client. The tutorial explains how to insert JSON data into Elasticsearch using index requests and verifies the data insertion. The session concludes with a preview of integrating Kafka consumer for data insertion.

What is the first step in setting up a Java project to interact with Elasticsearch?

• Write the main method

• Set up a logger

• Configure Maven dependencies

• Create a new Java class

Which tool is used to create a new module for the Kafka Consumer Elasticsearch project?

• Eclipse

• Visual Studio Code

• NetBeans

• IntelliJ

What is necessary to create an Elasticsearch client in a cloud environment?

• A JSON parser

• A static IP address

• A credentials provider

• A local server

What is the purpose of the REST client builder in the Elasticsearch client setup?

• To parse JSON data

• To handle exceptions

• To connect over HTTP

• To log errors

What must be ensured before inserting data into an Elasticsearch index?

• The index must exist

• The data must be encrypted

• The client must be closed

• The server must be restarted

What type of data is inserted into Elasticsearch in this tutorial?

• XML

• CSV

• JSON

• YAML

What is the result of running the code multiple times in terms of data insertion?

• The same data is overwritten

• New data is appended with a new ID

• Data is deleted

• The server crashes