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

Amazon FSx for Lustre: Lustre is a high-performance file system designed for workloads that require fast storage with sustained high throughput and low latency. It integrates with Amazon S3, making it suitable for HPC environments.

Persistent File Systems:

Persistent Storage: Suitable for long-term storage and recurrent use, providing durability and availability.

High Throughput and Low Latency: Persistent Lustre file systems can handle large amounts of data with sub-millisecond latency, meeting the needs of high-performance computing workloads.

Simultaneous Access: FSx for Lustre allows thousands of compute instances to access and process large datasets concurrently, ensuring that the high volume of data is handled efficiently.

Highly Available: FSx for Lustre is designed to provide high availability and is managed by AWS, reducing the operational burden.

Amazon EC2 On-Demand Instances: Since the batch jobs cannot be disrupted, On-Demand Instances provide the necessary reliability and availability.

Amazon S3 Standard: Storing data in S3 Standard for the first 30 days ensures quick and frequent access.

S3 Glacier Deep Archive: After 30 days, moving data to S3 Glacier Deep Archive significantly reduces storage costs for data that is rarely accessed.

S3 Lifecycle Configuration: Automating the transition and deletion of objects using lifecycle policies ensures cost optimization and compliance with data retention requirements.

Comprehensive and Detailed 250 to 300 words of Explanation (AWS documentation-based, no links):

To achieve resilience across multiple Availability Zones, the architecture should use services that natively provide Multi-AZ durability and failover with minimal manual intervention. For static website content, Amazon S3 is the natural choice because it stores objects durably and is designed for high availability; it also integrates well with common web delivery patterns. For the database, the requirement is explicitly Microsoft SQL Server and resilience across AZs.

An Amazon RDS for SQL Server Multi-AZ deployment (Option B) is designed to provide high availability by maintaining a standby replica in a different Availability Zone and performing automated failover in certain failure scenarios. This meets the Multi-AZ resiliency requirement while reducing operational overhead compared to self-managed database clustering on EC2.

Option A uses RDS Custom for SQL Server, which is intended for scenarios where you need OS-level and database-level access/customization. That typically increases operational responsibility and is not the simplest “resilient Multi-AZ” answer unless the scenario demands deep customization (it does not here). Options C and D propose using EBS Multi-Attach for static content, which is not a good fit for static website assets and adds complexity; Multi-Attach is limited and does not replace object storage semantics. Option D also adds substantial operational overhead by running and managing SQL Server across EC2 instances in multiple AZs, including patching, backups, and HA configuration.

Therefore, B best meets all requirements: S3 for static object content and RDS for SQL Server Multi-AZ for resilient, managed database high availability across Availability Zones.