Question : Which of the following is used by Amazon RDS to provide high availability and failover support for DB instances 1. Multi Region Deployment of DB Instances 2. Multi-AZ deployments 3. Access Mostly Uused Products by 50000+ Subscribers 4. Read Replicas
Amazon RDS provides high availability and failover support for DB instances using Multi-AZ deployments. Multi-AZ deployments for Oracle, PostgreSQL, and MySQL DB instances use Amazon technology to automatically provision and maintain a synchronous standby replica in a different Availability Zone. The primary DB instance is synchronously replicated across Availability Zones to a standby replica to provide data redundancy, eliminate I/O freezes, and minimize latency spikes during system backups. Running a DB instance with high availability can enhance availability during planned system maintenance, and help protect your databases against DB instance failure and Availability Zone disruption.
Note that the high-availability feature is not a scaling solution for read-only scenarios; you cannot use a standby replica to serve read traffic. To service read-only traffic, you should use a read replica.
Question : What would you use to categorize your EC resources by application or purpose?
Explanation: Tags enable you to categorize your AWS resources in different ways, for example, by purpose, owner, or environment. Each tag consists of a key and a value, both of which you define. For example, you could define a set of tags for your account's Amazon EC2 instances that helps you track each instance's owner and stack level. We recommend that you devise a set of tag keys that meets your needs for each resource type. Using a consistent set of tag keys makes it easier for you to manage your resources. You can search and filter the resources based on the tags you add.
Question :
What is the maximum write throughput that can be provisioned for a single DynamoDB table?
Explanation: No, you can increase the throughput you have provisioned for your table using UpdateTable API or in the AWS Management Console. DynamoDB is able to operate at massive scale and there is no theoretical limit on the maximum throughput you can achieve. DynamoDB automatically divides your table across multiple partitions, where each partition is an independent parallel computation unit. DynamoDB can achieve increasingly high throughput rates by adding more partitions.
If you wish to exceed throughput rates of 10,000 writes/second or 10,000 reads/second, you must first contact Amazon