Amazon Web Services SAA-C03 Exam With Confidence Using Practice Dumps

Key Requirements:

High availability and automatic recovery.

Separate transactional and analytical queries with minimal performance impact.

Allow up to a 4-hour lag for analytical queries.

Analysis of Options:

Option A:

Multi-AZ deployments provide high availability but do not include read replicas for separating transactional and analytical queries.

Analytical queries on the secondary DB instance would impact the transactional workload.

Incorrect Approach:Does not meet the requirement of query separation.

Option B:

Multi-AZ DB clusters provide high availability and include a reader endpoint. However, these are better suited for Aurora and not RDS for MySQL.

Incorrect Approach:Not applicable to standard RDS for MySQL.

Option C:

Multiple read replicas allow separation of transactional and analytical workloads.

Queries can be pointed to a replica in a different AZ, ensuring no impact on transactional queries.

Correct Approach:Meets all requirements with high availability and query separation.

Option D:

Creating nightly snapshots and read-only databases adds significant operational overhead and does not support the 4-hour lag requirement.

Incorrect Approach:Not practical for dynamic query separation.

AWS Solution Architect References:

Amazon RDS Read Replicas

Multi-AZ Deployments

Creating a listener rule on theApplication Load Balancer (ALB)to return a maintenance response during the maintenance window is the most straightforward solution with the least operational overhead. The rule can be configured to match all incoming requests and return a custom response, and it can be easily removed once maintenance is complete.

Option A (Aurora table flag): This adds unnecessary complexity for a temporary maintenance response.

Option B and D (SQS or SNS): These options introduce more components than needed for a simple maintenance message.

AWS References:

ALB Listener Rules

The key requirements are asynchronous processing, high availability, burst handling, and strict message ordering. Amazon SQS FIFO queues are specifically designed to guarantee exactly-once processing and ordered message delivery, making them ideal for transactional workflows like ecommerce order processing.

Option B meets all requirements. SQS FIFO preserves the order of messages within a message group and scales automatically to absorb traffic spikes. Integrating SQS FIFO with AWS Lambda enables serverless, event-driven processing with automatic scaling and no infrastructure management. Lambda processes messages as they arrive while maintaining order guarantees.

Option A (SNS) does not guarantee ordering and is designed for fan-out messaging. Option C (SQS standard) scales well but does not preserve order. Option D introduces unnecessary batch infrastructure and increased latency.

Therefore, B is the best solution because it combines ordered delivery, resilience, elasticity, and serverless compute, ensuring reliable and scalable order processing.