SAA-C03 Exam Dumps : AWS Certified Solutions Architect - Associate (SAA-C03)

AmazonTextractcan extract text from the PDFs, andAmazon Comprehendis the most suitable service to analyze the extracted text for sentiment and insights. Comprehend offers a fully managed, low-operational overhead solution for analyzing text data. The results can then be stored in anAmazon S3bucket, ensuring scalability and easy access.

Option A: Athena is for querying structured data and is not suitable for sentiment analysis.

Option B: SageMaker adds complexity and is not necessary when Comprehend can handle sentiment analysis natively.

Option D: QuickSight is used for visualization and analytics, but it does not provide sentiment analysis.

AWS References:

Amazon Comprehend

Amazon Textract

Amazon RDS Proxy is a fully managed database proxy for RDS that makes applications more scalable, more resilient to database failures, and more secure. RDS Proxy pools and shares database connections, allowing applications to open and close connections as needed without overwhelming the database. This is the recommended solution when the application cannot be modified to use connection pooling itself.

AWS Documentation Extract:

" Amazon RDS Proxy helps manage database connections to improve application scalability and performance. It pools connections and shares them among application clients, which can mitigate issues caused by opening and closing many database connections. "

(Source: Amazon RDS Proxy documentation)

A: Upgrading the instance does not solve connection inefficiency and can be cost-ineffective.

B: Increasing IOPS only helps if storage is a bottleneck, not if connections are the issue.

D: Multi-AZ improves availability, not connection management.

The correct answers are A, B, and C because the company needs to handle a sharp increase in read traffic , maintain high availability , and avoid application changes . These three options improve scaling at different layers of the architecture while remaining aligned with the current application design.

A. Amazon CloudFront helps reduce load on the web tier by caching content closer to users at edge locations. This improves responsiveness and reduces the number of requests that must reach the origin web servers during the marketing event. It is a common way to scale web traffic without changing the application.

B. Auto Scaling for the application layer is also appropriate because the application layer is already described as stateless and supports automatic scaling. Adding or removing EC2 instances based on demand helps the application remain responsive under high load.

C. Amazon Aurora with Aurora Replicas and Aurora Auto Scaling is the best way to scale the relational database layer for read-heavy workloads. Aurora Replicas can offload read traffic from the writer instance, and Aurora Auto Scaling can automatically adjust replica capacity based on demand. This preserves the relational architecture while improving read scalability and availability.

Option D can reduce database read pressure, but adding ElastiCache effectively requires the application to use the cache, which conflicts with the requirement to avoid modifying the application. Option E is incorrect because replacing the ALB with an NLB does not solve the application’s scaling or read-traffic bottlenecks. Option F is incorrect because migrating from a relational database to DynamoDB would require a major redesign.

So the best combination is CloudFront , Auto Scaling for the stateless application tier , and Aurora with read scaling features .