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Amazon SAA-C03 Exam Questions
AWS Certified Solutions Architect - Associate SAA-C03 (Page 36 )

Updated On: 20-Mar-2026
Page 36 of 205
PDF with 824 Questions

A company provides an API to its users that automates inquiries for tax computations based on item prices. The company experiences a larger number of inquiries during the holiday season only that cause slower response times. A solutions architect needs to design a solution that is scalable and elastic.
What should the solutions architect do to accomplish this?

  1. Provide an API hosted on an Amazon EC2 instance. The EC2 instance performs the required computations when the API request is made.
  2. Design a REST API using Amazon API Gateway that accepts the item names. API Gateway passes item names to AWS Lambda for tax computations.
  3. Create an Application Load Balancer that has two Amazon EC2 instances behind it. The EC2 instances will compute the tax on the received item names.
  4. Design a REST API using Amazon API Gateway that connects with an API hosted on an Amazon EC2 instance. API Gateway accepts and passes the item names to the EC2 instance for tax computations.

Answer(s): B

Explanation:

A REST API with API Gateway and AWS Lambda (B) is scalable and elastic, as API Gateway handles traffic management and Lambda provides automatic scaling for compute without provisioning servers. Lambda’s pay-per-use model fits seasonal spikes.
A: EC2-based compute is not inherently elastic; requires provisioning and scaling groups, which adds management overhead and slower cold starts.
C: ELB with fixed EC2 instances lacks automatic scaling during spikes and requires manual capacity planning.
D: API Gateway-to-EC2 integration reintroduces server management and lacks the fully serverless, scalable benefits of Lambda; adds latency from the extra hop.



A solutions architect is creating a new Amazon CloudFront distribution for an application. Some of the information submitted by users is sensitive. The application uses HTTPS but needs another layer of security. The sensitive information should.be protected throughout the entire application stack, and access to the information should be restricted to certain applications.
Which action should the solutions architect take?

  1. Configure a CloudFront signed URL.
  2. Configure a CloudFront signed cookie.
  3. Configure a CloudFront field-level encryption profile.
  4. Configure CloudFront and set the Origin Protocol Policy setting to HTTPS Only for the Viewer Protocol Policy.

Answer(s): C

Explanation:

CloudFront field-level encryption (FLE) encrypts specific data fields in user requests at the edge, protecting sensitive information end-to-end through the stack and restricting access to designated applications that hold the decryption keys.
A) CloudFront signed URLOnly controls access to the content, not field-level data protection. B) Signed cookies also manage access, not data encryption within requests. D) Origin Protocol Policy HTTPS Only ensures transport security to the origin, but does not encrypt specific fields in transit or enforce per-field access control. C) Correct: FLE provides per-field encryption, meeting the requirement for protecting sensitive information across the stack and limiting access to authorized apps.



A gaming company hosts a browser-based application on AWS. The users of the application consume a large number of videos and images that are stored in Amazon S3. This content is the same for all users.
The application has increased in popularity, and millions of users worldwide accessing these media files. The company wants to provide the files to the users while reducing the load on the origin.
Which solution meets these requirements MOST cost-effectively?

  1. Deploy an AWS Global Accelerator accelerator in front of the web servers.
  2. Deploy an Amazon CloudFront web distribution in front of the S3 bucket.
  3. Deploy an Amazon ElastiCache for Redis instance in front of the web servers.
  4. Deploy an Amazon ElastiCache for Memcached instance in front of the web servers.

Answer(s): B

Explanation:

Using CloudFront in front of S3 caches and delivers static media at edge locations, reducing origin load and lowering cost for global, cacheable content.
A) Global Accelerator optimizes network paths to endpoints but does not provide caching for S3 content, so cost reduction and cache benefits are limited.
C) ElastiCache for Redis introduces a caching layer but is stateful and requires application changes; it sits behind the app, not at the edge for static media.
D) ElastiCache for Memcached similarly adds a cache but at the origin side; it’s not a global CDN and lacks edge caching for S3 content.



A company has a multi-tier application that runs six front-end web servers in an Amazon EC2 Auto Scaling group in a single Availability Zone behind an Application Load Balancer (ALB). A solutions architect needs to modify the infrastructure to be highly available without modifying the application.
Which architecture should the solutions architect choose that provides high availability?

  1. Create an Auto Scaling group that uses three instances across each of two Regions.
  2. Modify the Auto Scaling group to use three instances across each of two Availability Zones.
  3. Create an Auto Scaling template that can be used to quickly create more instances in another Region.
  4. Change the ALB in front of the Amazon EC2 instances in a round-robin configuration to balance traffic to the web tier.

Answer(s): B

Explanation:

The correct answer is B.
A) Deploying across two Regions is unnecessary for regional HA and introduces cross-region latency and data transfer costs; not required for high availability within a single application.
B) Using three instances across two Availability Zones distributes load and resilience against AZ failures, meeting HA requirements without modifying the app.
C) An Auto Scaling template to another Region aids rapid deployment but does not ensure active HA without cross-region routing and syncing; it’s not a direct HA architecture adjustment.
D) ALB round-robin does not address AZ failure scenarios and does not increase HA beyond current single-AZ deployment.



An ecommerce company has an order-processing application that uses Amazon API Gateway and an AWS Lambda function. The application stores data in an Amazon Aurora PostgreSQL database. During a recent sales event, a sudden surge in customer orders occurred. Some customers experienced timeouts, and the application did not process the orders of those customers.
A solutions architect determined that the CPU utilization and memory utilization were high on the database because of a large number of open connections. The solutions architect needs to prevent the timeout errors while making the least possible changes to the application.
Which solution will meet these requirements?

  1. Configure provisioned concurrency for the Lambda function. Modify the database to be a global database in multiple AWS Regions.
  2. Use Amazon RDS Proxy to create a proxy for the database. Modify the Lambda function to use the RDS Proxy endpoint instead of the database endpoint.
  3. Create a read replica for the database in a different AWS Region. Use query string parameters in API Gateway to route traffic to the read replica.
  4. Migrate the data from Aurora PostgreSQL to Amazon DynamoDB by using AWS Database Migration Service (AWS DMS). Modify the Lambda function to use the DynamoDB table.

Answer(s): B

Explanation:

Amazon RDS Proxy offloads and multiplexes database connections, reducing open connections and CPU/memory pressure on Aurora PostgreSQL during spikes, which minimizes timeouts without substantial application changes. A) Provisioned concurrency helps Lambda cold-starts but does not address DB connection saturation. Global database and regional failover add complexity and latency rather than solving connection limits. C) Read replicas in another region do not alleviate connection saturation and routing via API Gateway adds overhead. D) Migrating to DynamoDB is a major architecture change and unnecessary for this issue. B) correctly targets connection management with minimal changes to the Lambda and existing Aurora setup.



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