High Availability, Fault Tolerance, and Auto Scaling Flashcards

Which AWS service allows you to use machine learning to forecast future traffic and proactively scale capacity ahead of demand?

Answer: Predictive Scaling

Predictive Scaling uses machine learning to analyze historical CloudWatch metrics and forecast future load, scaling capacity before demand arrives.

Which ElastiCache feature enables automatic detection of a Redis primary node failure and promotion of a replica?

Answer: ElastiCache Multi-AZ with Auto Failover

ElastiCache Multi-AZ with Auto Failover automatically detects primary node failures and promotes a replica to minimize downtime.

Which AWS Global Accelerator feature improves availability by routing traffic to the nearest healthy endpoint across AWS regions?

Answer: Anycast IP with health-based routing

AWS Global Accelerator uses anycast IP addresses and continuously monitors endpoint health, routing traffic to the nearest healthy AWS region.

What does the EC2 Auto Scaling `cooldown` period prevent?

Answer: Launching or terminating additional instances before the effects of previous scaling activity are visible

The cooldown period prevents Auto Scaling from performing additional scaling actions before the previous action's effects on metrics can be measured.

Which AWS service provides active-active multi-region replication for DynamoDB tables?

Answer: DynamoDB Global Tables

DynamoDB Global Tables provide fully managed, multi-region, multi-active database replication, enabling low-latency reads and writes in multiple regions.

Which ECS deployment configuration setting specifies the minimum percentage of tasks that must remain running during a rolling deployment?

Answer: minimumHealthyPercent

The minimumHealthyPercent setting in ECS ensures that during a deployment, the service maintains at least this percentage of its desired task count in the RUNNING state.