AWS Certified Cloud Practitioner (CLF-C01)- Introduction to Amazon RDS

This video tutorial provides an overview of AWS database services, focusing on Amazon RDS. It explains basic database concepts, such as tables and keys, and discusses hosting options on AWS, including self-hosted and managed services. Advanced RDS features like multi-AZ, backups, and scalability are also covered, preparing viewers for the AWS Cloud Practitioner exam.

Which AWS service is known for providing a NoSQL database solution?

• Amazon RDS

• Amazon DynamoDB

• Amazon Redshift

• Amazon Aurora

Which AWS service is designed for data warehousing?

• Amazon RDS

• Amazon Redshift

• Amazon DynamoDB

• Amazon ElastiCache

What is a primary key in a database?

• A tool for database management

• A column that stores data

• A unique identifier for each record

• A type of database engine

What is the role of a foreign key in a database?

• To manage database transactions

• To store large amounts of data

• To uniquely identify each record

• To link tables together

What is one advantage of using Amazon RDS over self-hosting a database on EC2?

• Lower initial setup cost

• Complete control over the database server

• Automatic database backups and patching

• Ability to use any database engine

Which of the following is NOT a database engine supported by Amazon RDS?

• MySQL

• PostgreSQL

• Oracle

• MongoDB

Which storage option is NOT available for Amazon RDS?

• Magnetic storage

• General Purpose SSD

• Tape storage

• Provisioned IOPS SSD

What is the purpose of Multi-AZ deployments in Amazon RDS?

• To allow multiple database engines

• To reduce storage costs

• To provide high availability and failover support

• To increase read performance

How does Amazon RDS handle backups to avoid IO suspension?

• By using a separate backup server

• By using read replicas

• By taking backups from the standby instance in Multi-AZ deployments

• By scheduling backups during off-peak hours

What is the main benefit of using read replicas in Amazon RDS?

• To scale out read-heavy workloads

• To reduce latency for write operations

• To provide a backup solution

• To improve write performance