SAA-C03 Online Practice Questions

Explanation:
Analysis:
The solution must handle variable sales volumes, preserve transaction information, and store data in an Amazon Aurora database with minimal operational overhead. UsingAPI Gateway, AWS Lambda, and SQSis the best option because it provides scalability, reliability, and resilience.
Why Option A is Correct:
API Gateway: Serves as an entry point for transaction data in a serverless, scalable manner.
AWS Lambda: Processes the transactions and sends them to Amazon SQS for queuing.
Amazon SQS: Buffers the transaction data, ensuring durability and resilience against spikes in transaction volume.
Second Lambda Function: Processes messages from the SQS queue and updates the Aurora database, decoupling the workflow for better scalability.
Dead-Letter Queue (DLQ): Ensures failed transactions are logged for later debugging or reprocessing.
Why Other Options Are Not Ideal:
Option B:
Using an ALB with ECS on EC2 introduces operational overhead, such as managing EC2 instances and scaling ECS tasks. Not cost-effective.
Option C:
EKS is highly operationally intensive and requires Kubernetes cluster management, which is unnecessary for this use case. Too complex.
Option D:
Amazon Data Firehose and DMS are not designed for real-time transactional workflows. They are better suited for data analytics pipelines. Not suitable.
AWS
Reference: Amazon API Gateway: AWS Documentation - API Gateway AWS Lambda: AWS Documentation - Lambda Amazon SQS: AWS Documentation - SQS Amazon Aurora: AWS Documentation - Aurora

Explanation:
To improve availability and fault tolerance of an Amazon RDS instance, the recommended approach is to configure a Multi-AZ deployment.
Multi-AZ deployments for RDS automatically replicate data to a standby instance in a different Availability Zone (AZ).
If a failure occurs in the primary AZ (due to hardware, network, or power), RDS will automatically failover to the standby instance with minimal downtime, without administrative intervention.
This is an AWS-managed feature and does not require application modification.
It does not provide scalability or load balancing; it's designed for high availability and resiliency.
Options A, B, and D are incorrect:
A refers to cross-Region, which is used for disaster recovery, not high availability.
B and D with SQS do not address high availability directly for the RDS instance; queues help decouple systems but do not make a database more resilient.
Reference: Amazon RDS Multi-AZ Deployments

Explanation:
Memory Optimized Instances: These instances are designed to deliver fast performance for workloads that process large data sets in memory. They are ideal for high-performance databases like SAP and applications with high memory utilization.
High Memory Utilization: Both the SAP application and the SQL Server database have high memory demands as per the on-premises performance data. Memory optimized instances provide the necessary memory capacity and performance.
Instance Types:
For the SAP application, using a memory optimized instance ensures the application has sufficient memory to handle the high workload efficiently.
For the SQL Server database, memory optimized instances ensure optimal database performance with high memory throughput.
Operational Efficiency: Using the same instance family for both the application and the database simplifies management and ensures both components meet performance requirements.
Reference: Amazon EC2 Instance Types
SAP on AWS

Explanation:
For a large-scale multi-account AWS environment with many VPCs and centralized Direct Connect, AWS recommends using a Transit Gateway (TGW) architecture combined with a Direct Connect gateway (DXGW). This setup allows scalable, centralized connectivity between on-premises and multiple VPCs across accounts.
Step B: Creating a Direct Connect gateway and Transit Gateway in a central network account and connecting them via a transit VIF enables the on-premises network to access all connected VPCs.
Step D: Sharing the transit gateway with other accounts via AWS Resource Access Manager (RAM) allows the central TGW to attach VPCs in multiple accounts, simplifying multi-account connectivity.
Step F: To route cloud resources’ internet traffic back through the on-premises data center (for centralized egress), provisioning only private subnets and routing outbound internet traffic through NAT or firewall services in the data center is necessary. This requires configuring transit gateway and customer gateway routes appropriately.
Option A is partially correct in the use of Direct Connect gateway but association proposals are not scalable for hundreds of VPCs and accounts compared to transit gateway.
Option C (internet gateway) is irrelevant here as traffic egress is required via on-premises data center, not directly to the internet.
Option E (VPC peering) is not scalable for hundreds of VPCs.
Reference: AWS Transit Gateway Overview (https: //docs.aws.amazon.com/vpc/latest/tgw/what-is-transit-gateway.html)
AWS Direct Connect Gateway (https: //docs.aws.amazon.com/directconnect/latest/UserGuide/direct-connect-gateways.html)
Centralized Egress Architecture with Transit Gateway (https: //aws.amazon.com/blogs/networking-and-content-delivery/how-to-set-up-centralized-egress-with-transit-gateway/)
AWS Well-Architected Framework ― Reliability Pillar (https: //d1.awsstatic.com/whitepapers/architecture/AWS_Well-Architected_Framework.pdf)