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

Using S3 gateway endpoints allows private and cost-free access to S3 without routing traffic through a NAT gateway. NAT gateway traffic incurs charges, especially when used across multiple Availability Zones.

By using an S3 gateway endpoint, EC2 instances in private subnets can access S3 directly without needing internet access, reducing both data transfer and NAT gateway costs.

Interface endpoints are more expensive and typically used for services like API Gateway or Systems Manager.

The correct answer is C because the company already uses Amazon FSx for NetApp ONTAP and requires a disaster recovery solution in a secondary Region that preserves access through the same protocols , specifically CIFS and NFS . The most appropriate solution is to deploy a second FSx for ONTAP file system in the secondary Region and use NetApp SnapMirror to replicate data between Regions. SnapMirror is built for ONTAP-based replication and is the native mechanism for efficient, storage-level disaster recovery.

This option provides the least operational overhead because it uses the capabilities already integrated into FSx for ONTAP rather than introducing another storage platform or custom replication tooling. It also preserves protocol compatibility, so applications in the recovery Region can continue to access data through CIFS and NFS without architectural changes.

Option A is incorrect because replicating data to Amazon S3 does not preserve native CIFS and NFS file shares. Option B can support recovery, but backups and restores are not the best fit for an active DR strategy where the secondary Region needs accessible replicated storage with the same protocols and lower recovery effort. Option D is incorrect because Amazon EFS does not provide CIFS/SMB support in the same way as FSx for ONTAP and would require a platform change.

AWS guidance for FSx for ONTAP disaster recovery favors using SnapMirror replication to another FSx for ONTAP deployment. This approach is protocol-compatible, efficient, and operationally simpler than building a custom DR workflow.

For infrequent or ad hoc querying of log data, Amazon S3 + Amazon Athena provides the most cost-effective, serverless, and scalable analytics solution.

From AWS Documentation:

“Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.”

(Source: Amazon Athena User Guide)

Why A is correct:

Amazon S3 offers durable, scalable, and cost-efficient storage.

Athena allows SQL-based querying on structured or semi-structured data like logs.

No need to provision or manage infrastructure.

Ideal for occasional querying at low cost.

Why the others are not optimal:

Option B: OpenSearch adds cost and is best for frequent, low-latency log querying.

Option C: RDS is not optimized for large-scale write-heavy log ingestion and costs more.

Option D: CloudWatch Logs is suitable for real-time monitoring, not for long-term storage and analytics of large log volumes.