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Zorluk: OrtaHigh-Performing Database Solutions

A retail company is launching a new promotions portal that experiences sudden bursts of traffic. The database tier must support two distinct workloads: a transactional relational workload to process orders, and a highly concurrent, low-latency search workload for the active promotions catalog. The solutions architect needs to design a high-performing database architecture that can scale dynamically to handle these demands.

Which combination of database configurations should the solutions architect choose? (Select two.)

  1. Amazon Aurora MySQL database cluster with Aurora Auto Scaling for read replicas to handle transactional order processingCevap
  2. Amazon ElastiCache for Redis cluster to cache promotional catalog queriesCevap
  3. C
    Amazon DynamoDB table with a partition key of monotonically increasing transaction timestamps to store order details
  4. D
    Amazon RDS for MySQL instance using a read replica in a separate Availability Zone as the primary automatic failover mechanism for transaction writes
  5. E
    Amazon DynamoDB table configured in Provisioned Capacity Mode with fixed capacity units to handle the highly unpredictable spiky transactional traffic

Cevap

The correct configurations are using an Amazon Aurora MySQL database cluster with Aurora Auto Scaling for read replicas to handle transactional order processing, and deploying an Amazon ElastiCache for Redis cluster to cache promotional catalog queries.
The relational order processing requires a high-performance transactional database, which is served by Amazon Aurora MySQL. Aurora supports Auto Scaling read replicas to handle variable read capacity during traffic spikes. The search catalog requires highly concurrent, low-latency retrieval, which is served by Amazon ElastiCache for Redis, shielding the database from high read volume.

Adım Adım Çözüm

1
Analyze the workload requirements for the relational transaction processing system.
The system requires a database that supports transactional integrity (ACID compliance) and is capable of scaling read capacity dynamically during sudden bursts of traffic.
Amazon Aurora MySQL matches these requirements by offering a high-performance relational database with support for Auto Scaling read replicas.
2
Analyze the workload requirements for the promotions catalog searches.
Catalog searches require sub-millisecond, highly concurrent read capabilities to handle traffic spikes without placing excessive load on the main relational database.
Amazon ElastiCache for Redis provides a high-performing in-memory caching layer that handles concurrent read traffic with microsecond latencies.

Anahtar Kavram

High-performing database architectures leverage specialized services for different read/write patterns, such as using Aurora MySQL for relational transactional operations and Amazon ElastiCache to cache high-frequency, low-latency read requests.
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