Elastic Cash is an AWS service that provides in-memory caching for databases, enhancing performance by storing data in memory rather than on disk. It offers two solutions: Memcached, which is simple and high-performing, and Redis, which is compliant with regulations like HIPAA. The AWS Elasticache interface allows users to set up and manage caching clusters. Choosing the right node type is crucial for ensuring sufficient memory for caching needs.

What is the primary benefit of using Elastic Cache with databases?

• Increased disk space

• Improved data security

• Reduced database size

• Faster data access

Which Elastic Cache solution is best for applications without compliance requirements?

• DynamoDB

• RDS

• Memcached

• Redis

Why might someone choose Redis over Memcached in Elastic Cache?

• Easier setup

• Compliance capabilities

• Lower cost

• Better performance

Where can you find Elastic Cache in the AWS interface?

• In the RDS section

• In the database category

• In the storage section

• In the compute category

What is the default Elastic Cache solution when setting up a new cluster?

• DynamoDB

• Aurora

• Memcached

• Redis

What is crucial to consider when selecting an instance type for Elastic Cache?

• The number of CPUs

• The storage type

• The amount of memory

• The network bandwidth

Why is it important to choose the right node type in Elastic Cache?

• To lower costs

• To ensure sufficient memory

• To reduce latency

• To increase security