AWS Certified Data Engineer Associate DEA-C01 Practice Question
An e-commerce company runs a MySQL 8.0 database on a Single-AZ db.m5.large Amazon RDS instance. The workload peaks at about 300 writes/sec and 3,000 read queries/sec during sales. Management wants to improve read performance and availability while controlling cost and making as few application changes as possible. Which solution meets these requirements?
Enable a Multi-AZ deployment and upgrade the primary instance to db.m6i.2xlarge.
Migrate the database to Amazon Aurora MySQL Serverless v2 and use two Aurora Replicas.
Create two Amazon RDS MySQL read replicas in different Availability Zones and route read queries to the replicas.
Move frequently read tables to Amazon ElastiCache for Redis and switch the database storage to gp3 volumes.
Amazon RDS MySQL read replicas use asynchronous replication to offload read traffic from the primary instance. Placing replicas in separate AZs increases availability for reads, and the application can begin directing SELECT traffic to the replicas with minimal code changes. Multi-AZ deployments improve failover resilience but keep all reads on the primary, so they do not relieve read pressure. Migrating to Aurora or adding ElastiCache introduces higher cost and greater change complexity compared with simply adding read replicas.
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What is the purpose of Amazon RDS MySQL read replicas?
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How does asynchronous replication work in RDS MySQL read replicas?
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Why is Multi-AZ deployment not ideal for reducing read traffic?
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How do Amazon RDS MySQL read replicas improve database performance?
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What is the difference between a Multi-AZ deployment and read replicas in Amazon RDS?
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Why is migrating to Amazon Aurora or using ElastiCache not preferred in this scenario?
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AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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