AWS CloudFormation stack including an Amazon RDS database instance was mistakenly removed, resulting in the loss of recent dat a. A Database Specialist must apply RDS parameters to the CloudFormation template in order to minimize the possibility of future inadvertent instance data loss. Which settings will satisfy this criterion? (Select three.)
On AWS, a business is developing a web application. The application needs that the database supports concurrent read and write activities in several AWS Regions. Additionally, the database must communicate data changes across Regions as they occur. The application must be highly available and have a latency of less than a few hundred milliseconds. Which solution satisfies these criteria?
A business uses Amazon EC2 instances in VPC A to serve an internal file-sharing application. This application is supported by an Amazon ElastiCache cluster in VPC B that is peering with VPC
A ride-hailing application stores bookings in a persistent Amazon RDS for MySQL DB instance. This program is very popular, and the corporation anticipates a tenfold rise in the application's user base over the next several months. The application receives a higher volume of traffic in the morning and evening. This application is divided into two sections: ✑ An internal booking component that takes online reservations in response to concurrent user queries. ✑ A component of a third-party customer relationship management (CRM) system that customer service professionals utilize. Booking data is accessed using queries in the CRM. To manage this workload effectively, a database professional must create a cost-effective database system. Which solution satisfies these criteria?
Amazon Neptune is being used by a corporation as the graph database for one of its products. During an ETL procedure, the company's data science team produced enormous volumes of temporary data by unintentionally. The Neptune DB cluster extended its storage capacity automatically to handle the added data, but the data science team erased the superfluous data. What should a database professional do to prevent incurring extra expenditures for cluster volume space that is not being used?
A bank intends to utilize Amazon RDS to host a MySQL database instance. The database should be able to handle high-volume read requests with extremely few repeated queries. Which solution satisfies these criteria?
