Amazon Aurora Features: MySQL and PostgreSQL Compatibility

Answer: A, D.

Option A is CORRECT.

The statement is incorrect.

Correct statement: Amazon Aurora is faster than standard MySQL (up to five times faster).

Option B is INCORRECT.

This is a feature of Amazon Aurora.

Option C is INCORRECT.

This is a feature of Amazon Aurora.

Option D is CORRECT.

The statement is incorrect.

Correct statement: Amazon Aurora can auto-scale up to 128 TB.Option E is INCORRECT.

This is a feature of Amazon Aurora.

https://aws.amazon.com/rds/aurora/

Sure, I'd be happy to provide a detailed explanation of the features of Amazon Aurora and which two of the listed options are not among its features.

Amazon Aurora is a cloud-based relational database service that is fully managed by AWS. It is designed to be highly available, scalable, and compatible with MySQL and PostgreSQL. Here are some of the key features of Amazon Aurora:

A. Amazon Aurora is slower than standard MySQL databases. This statement is not true. Amazon Aurora is actually designed to be faster than standard MySQL databases. It uses a distributed, fault-tolerant architecture that allows it to deliver high performance and availability. In addition, it has an optimized storage subsystem that is designed to deliver high I/O performance, and it can automatically scale its compute and storage resources based on demand.

B. Amazon Aurora provides replication across 3 AZs. This statement is true. Amazon Aurora is designed to be highly available and fault-tolerant, and it achieves this through its ability to replicate data across multiple availability zones (AZs). When you create an Aurora database, you can specify that you want it to be replicated across three AZs, which means that if one AZ fails, your database will still be available in the other two AZs.

C. Amazon Aurora features self-healing storage system. This statement is true. One of the key features of Amazon Aurora is its self-healing storage system. This system is designed to automatically detect and repair any issues with the underlying storage infrastructure, without any intervention required from the user. This helps to ensure that your data is always available and that you don't experience any downtime due to storage issues.

D. Amazon Aurora can auto scale up to 32 T. This statement is true. Amazon Aurora is designed to be highly scalable, and it can automatically scale its compute and storage resources based on demand. It can scale its storage capacity up to 64 TB, and it can also scale its compute capacity up to 32 vCPUs and 244 GB of memory.

E. Amazon Aurora is fully managed. This statement is true. Amazon Aurora is a fully managed database service, which means that AWS handles all of the administrative tasks involved in running a database, such as provisioning, patching, and backups. This allows you to focus on developing your applications rather than worrying about database maintenance.

Therefore, the two statements that are not features of Amazon Aurora are A. Amazon Aurora is slower than standard MySQL databases and D. Amazon Aurora can auto scale up to 32 T.