AWS Certified Data Analytics Specialty 2021 - Hands-On! - Amazon Elasticsearch Service

The video tutorial provides an in-depth overview of Amazon Elasticsearch Service (ES), highlighting its features, pricing, and management. It covers the benefits of using Amazon ES, such as ease of deployment and security features, while also discussing the need for manual server management. The tutorial explains integration options with AWS services and IoT, security measures like VPC and Cognito, and best practices for cluster management. It also addresses anti-patterns and suggests alternatives for certain use cases.

What is a key benefit of using Amazon Elasticsearch Service compared to self-managed Elasticsearch?

• It is completely serverless.

• It automatically scales server capacity.

• It offers free data storage.

• It simplifies deployment and management.

Which AWS service is NOT mentioned as an integration point with Amazon Elasticsearch Service?

• RDS

• Kibana

• Logstash

• Kinesis

What should you do to avoid unnecessary charges when your Elasticsearch cluster is idle?

• Enable automatic scaling

• Switch to a serverless model

• Shut down the cluster

• Increase server capacity

How can you ensure data security in Amazon Elasticsearch Service?

• By disabling IAM policies

• By making the cluster public

• By encrypting data at rest and in transit

• By using Amazon RDS

What is the purpose of dedicated master nodes in Amazon Elasticsearch Service?

• To store and process data

• To manage the Elasticsearch domain

• To increase data transfer speed

• To provide additional storage

Which of the following is considered an anti-pattern for using Amazon Elasticsearch Service?

• Storing data in S3

• Integrating with IoT devices

• Using it for OLTP workloads

• Using it for search and analytics

What is the primary role of Amazon Elasticsearch Service?

• To replace Amazon RDS

• To facilitate search and analytics

• To serve as a web service

• To provide transactional support