Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Amazon Elasticsearch Service, Part 2

The video tutorial covers setting up and troubleshooting an AWS Elasticsearch cluster. It discusses potential issues with instance availability and upcoming changes in AWS Elasticsearch services. The tutorial demonstrates accessing the cluster, testing its functionality, importing data, and using Kibana for data visualization. It concludes with a reminder to delete the domain to avoid unnecessary charges.

What issue did the instructor face with the AWS Elasticsearch cluster?

• The cluster was too expensive to maintain.

• The cluster was deleted accidentally.

• The cluster was not compatible with the current AWS version.

• The instance type was unavailable in the desired data center.

What is the purpose of the endpoint URL in accessing the AWS Elasticsearch cluster?

• To delete the cluster

• To change the cluster's configuration

• To access the cluster's master node

• To monitor the cluster's performance

Which command is used to verify the functionality of the AWS Elasticsearch cluster?

• curl -X GET

• curl -X PUT

• curl -X DELETE

• curl -X POST

Why was the existing data not compatible with the Elasticsearch 6 cluster?

• The data was too large.

• The data was formatted for Elasticsearch 7.

• The data was corrupted.

• The data was encrypted.

What is the purpose of creating an index pattern in Kibana?

• To delete data from the cluster

• To visualize and explore data

• To encrypt the data

• To backup the data

What should you do to avoid unnecessary charges after using the AWS Elasticsearch domain?

• Upgrade the domain

• Change the domain settings

• Delete the domain

• Transfer the domain

What is a potential challenge when connecting to Kibana from outside AWS?

• It is only available during certain hours.

• It involves complex security configurations.

• It is not supported by AWS.

• It requires a special license.