AWS Certified Cloud Practitioner (CLF-C01)- Additional Database Services

The video tutorial covers advanced AWS database services relevant for the AWS Certified Cloud Practitioner exam. It introduces graph databases, focusing on Amazon Neptune, which is optimized for highly connected datasets. The tutorial then explores Amazon Quantum Ledger Database (QLDB), highlighting its advantages over traditional ledger solutions and blockchain. Finally, it discusses Amazon Time Stream, a time series database ideal for IoT and operational applications, emphasizing its scalability and cost-effectiveness.

What is a graph database and how does it differ from traditional relational databases?

What are some advantages of using graph databases for specific use cases?

Describe the purpose and functionality of Amazon Neptune.

What is the Amazon Quantum Ledger Database (QDB) and what are its key features?

How does QDB address the challenges associated with traditional relational databases?

What are the typical use cases for Amazon Time Stream?

In what scenarios would you recommend using Amazon Time Stream over relational databases?