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

Amazon SQS FIFO queuesensure that orders are processed in the exact order received and maintain message deduplication.

AWS Lambdascales automatically, handling bursts and maintaining high availability in a cost-effective manner.

Option A and D:Amazon SNS does not guarantee ordered processing.

Option C:Standard SQS queues do not guarantee order.

AWS Documentation References:

Amazon SQS FIFO Queues

For global low latency, AWS recommends using Amazon CloudFront as a content delivery network in front of both static and dynamic origins when possible.

Static content on Amazon S3 + CloudFront is the standard cost-effective pattern: S3 for low-cost durable storage, CloudFront for global edge caching.

Dynamic content exposed via Amazon API Gateway HTTP API can also be used as an origin for CloudFront, giving global users reduced latency and the ability to cache appropriate responses (when safe).

This pattern minimizes cost by:

Using S3 instead of EC2 for static hosting.

Using HTTP APIs (cheaper than REST APIs) for dynamic content.

Offloading a significant portion of requests to CloudFront cache.

Why the other options are not correct:

B: Static content is not fronted by CloudFront, so global latency is higher.

C: EC2-based web servers for the core web tier add more operational and cost overhead than needed for a mostly static + API pattern.

D: Only the static content uses CloudFront; the dynamic API still lacks a latency-optimized global entry point.

To analyze the performance of the web application with granularity of no more than 2 minutes, enablingdetailed monitoringon EC2 instances is the best solution. By default, CloudWatch provides metrics at a 5-minute interval. Enabling detailed monitoring allows you to collect metrics at 1-minute intervals, which will give you the level of granularity you need to analyze performance during peak traffic.

Amazon CloudWatch metrics can then be used to analyze CPU utilization, memory usage, disk I/O, and network throughput, among other performance-related metrics, at the desired granularity.

Option A: Sending CloudWatch logs to Redshift for analysis is unnecessary and overcomplicated for simple performance analysis, which can be done using CloudWatch metrics alone.

Option C: Fetching EC2 logs via Lambda adds complexity, and CloudWatch metrics already provide the required data for performance analysis.

Option D: Sending logs to S3 and using Redshift for analysis is also more complex than necessary for simple performance monitoring.

AWS References:

Monitoring Amazon EC2 with CloudWatch

Amazon CloudWatch Detailed Monitoring