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 primary advantage of graph databases over relational databases?

• They efficiently handle highly connected data.

• They require less storage space.

• They can store unstructured data.

• They are easier to set up.

Which AWS service is designed for applications with highly connected datasets?

• Amazon S3

• Amazon Neptune

• Amazon RDS

• Amazon DynamoDB

What is a key feature of Amazon Quantum Ledger Database?

• It is a decentralized database.

• It provides immutable and verifiable transaction logs.

• It supports SQL queries.

• It is primarily used for social networking applications.

Why might a company choose QLDB over a blockchain solution?

• QLDB supports more data types.

• QLDB is faster to set up.

• QLDB requires less complex infrastructure.

• QLDB is more secure.

What type of data is Amazon Timestream optimized for?

• Transactional data

• Time series data

• Graph data

• Unstructured data

Which AWS service is best suited for IoT applications requiring time series data analysis?

• Amazon RDS

• Amazon DynamoDB

• Amazon Timestream

• Amazon S3

What is a cost advantage of using Amazon Timestream over relational databases?

• It requires no upfront payment.

• It costs 1/10th of the price.

• It is free to use.

• It offers unlimited storage.