AWS Certified Data Analytics Specialty 2021 - Hands-On! - AWS Glue Elastic Views

Elastic Views is a new AWS feature, still in preview as of 2021, designed to create materialized views from data sources like Aurora, RDS, and Dynamodb. It automates ETL tasks, continuously updates views, and operates on a serverless platform. The interface is SQL-based, making it familiar to users of relational databases. While not yet exam-relevant, it promises to simplify data management and integration tasks.

What is the current status of Elastic Views as of 2021?

• It is fully available and part of exams.

• It is available for preview but not yet released.

• It is outdated and no longer in use.

• It is only available to a select group of users.

What is the primary function of Elastic Views?

• To create materialized views from various data sources.

• To provide a new programming language.

• To replace traditional SQL databases.

• To serve as a cloud storage solution.

Which databases can utilize the materialized views created by Elastic Views?

• Only Aurora and RDS.

• Only Redshift and Elasticsearch.

• Aurora, RDS, Redshift, Elasticsearch, S3, and DynamoDB.

• Only SQL-based databases.

What is a key advantage of using Elastic Views?

• It automatically handles data replication and updates.

• It requires manual data updates.

• It is a hardware-based solution.

• It requires extensive server maintenance.

What type of platform is Elastic Views described as?

• A client-side application.

• A server-based platform.

• A serverless platform.

• A desktop software.