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

The most cost-effective, secure way for private subnets to access AWS services without public IP addresses is to use VPC endpoints:

Interface endpoints (powered by AWS PrivateLink) for services like S3, DynamoDB, etc.

Traffic stays on the AWS network.

“You can privately connect your VPC to supported AWS services using interface VPC endpoints powered by AWS PrivateLink. Instances in your VPC do not require public IP addresses.”

— VPC Endpoints Documentation

Why not others:

NAT gateways incur hourly + data transfer costs and use public IPs.

Internet gateways expose traffic to the internet.

Direct Connect is for private on-prem connectivity, not needed here.

The requirements are high availability, scalability for traffic spikes, and least administrative overhead. Option C matches established AWS reference patterns: use an Application Load Balancer + Auto Scaling group for the web tier and a managed database service with Multi-AZ for the database tier.

For the web application, placing EC2 instances in an Auto Scaling group across multiple Availability Zones allows the fleet to scale out automatically during the promotional event and to scale in afterward, preserving performance while controlling cost. The Application Load Balancer distributes requests across instances and AZs and removes unhealthy instances from rotation, improving availability.

For the database, Amazon RDS Multi-AZ is the simplest managed HA solution for relational engines, including SQL Server. Multi-AZ provides synchronous replication to a standby instance in another Availability Zone and supports automatic failover. This reduces administrative effort because AWS handles replication, failover orchestration, backups, and underlying infrastructure maintenance within service capabilities. It also ensures database availability during instance or AZ-level disruptions.

Option A is problematic because RDS for SQL Server does not use read replicas as the primary HA mechanism the way Aurora does, and focusing on replicas does not directly address HA in the simplest supported form. Option B and D rely on self-managed SQL Server on EC2, which requires significant operational overhead (patching, backups, replication setup, failover testing, monitoring, and recovery). Option B also suggests multi-Region replication, which adds complexity and is not required to meet “highly available and scalable” for a single-event scale scenario.

Therefore, C provides scalable compute with managed load balancing and managed database high availability, meeting the requirements with the least operational burden.

SQS Standard queues provide at-least-once delivery; they can, by design, deliver duplicate messages, and you cannot turn that off.

To guarantee no duplicates to consumers, AWS provides SQS FIFO queues with exactly-once processing semantics in conjunction with deduplication.

The minimal change to achieve this behavior is to:

Recreate the queue as a FIFO queue and

Enable content-based deduplication, so SQS automatically deduplicates messages with identical bodies within the deduplication window.

Why others are not correct:

A: Long polling reduces empty responses and costs but does not eliminate duplicates.

C: Content-based deduplication is available only for FIFO queues, not for standard queues—so you cannot “modify” a standard queue this way.

D: Moving to Amazon MQ is a much bigger architectural change and adds more operational overhead; it’s not the “fewest changes” approach.