Amazon Web Services SAP-C02 Exam With Confidence Using Practice Dumps

Exam Code:

SAP-C02

Exam Name:

AWS Certified Solutions Architect - Professional

Certification:

AWS Certified Professional

Vendor:

Amazon Web Services

Questions:

645

Last Updated:

May 7, 2026

Exam Status:

Stable

SAP-C02: AWS Certified Professional Exam 2025 Study Guide Pdf and Test Engine

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AWS Certified Solutions Architect - Professional Questions and Answers

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Question 1

A Solutions Architect wants to make sure that only AWS users or roles with suitable permissions can access a new Amazon API Gateway endpoint. The Solutions

Architect wants an end-to-end view of each request to analyze the latency of the request and create service maps.

How can the Solutions Architect design the API Gateway access control and perform request inspections?

Options:

For the API Gateway method, set the authorization to AWS_IAM. Then, give the IAM user or role execute-api:Invoke permission on the REST API resource. Enable the API caller to sign requests with AWS Signature when accessing the endpoint. Use AWS X-Ray to trace and analyze user requests to API Gateway.

For the API Gateway resource, set CORS to enabled and only return the company's domain in Access-Control-Allow-Origin headers. Then, give the IAM user or role execute-api:Invoke permission on the REST API resource. Use Amazon CloudWatch to trace and analyze user requests to API Gateway.

Create an AWS Lambda function as the custom authorizer, ask the API client to pass the key and secret when making the call, and then use Lambda to validate the key/secret pair against the IAM system. Use AWS X-Ray to trace and analyze user requests to API Gateway.

Create a client certificate for API Gateway. Distribute the certificate to the AWS users and roles that need to access the endpoint. Enable the API caller to pass the client certificate when accessing the endpoint. Use Amazon CloudWatch to trace and analyze user requests to API Gateway.

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Question 2

A company has a payment gateway that processes millions of daily transactions on AWS. The solution uses Amazon ECS with a single Amazon EC2 instance that is not configured for auto scaling and an Amazon Aurora PostgreSQL database. All the solution's resources are deployed in the same Availability Zone. The company uses Amazon Route 53 to manage its domain name resolution.

The company needs to implement a new strategy to make the application more highly available.

Which solution will meet this requirement with the LEAST operational overhead?

Options:

Set up an Amazon RDS Proxy in front of the Aurora database. Modify the Aurora database to a Multi-AZ DB cluster by adding a read replica in a second Availability Zone.

Configure Amazon ECS services to distribute tasks across multiple Availability Zones. Create a cross-Region read replica of the Aurora database in a second AWS Region. Create a script to perform a manual failover process.

Configure Amazon ECS services on AWS Fargate to distribute tasks across multiple Availability Zones. Modify the Aurora database to a Multi-AZ DB cluster by adding a read replica in a second Availability Zone.

Deploy the gateway application into a second AWS Region. Migrate the Aurora database to an Aurora global database. Configure Route 53 for active-active gateway request routing.

Answer:

Explanation:

Comprehensive and Detailed Explanation From Exact Extract:

C is correct because it converts the single–Availability Zone, single-EC2-instance ECS design into a managed, multi-AZ, self-healing architecture with minimal day-to-day operations. The current design has multiple single points of failure: one EC2 instance for ECS capacity and one Availability Zone for all components. Moving the ECS service to AWS Fargate removes the need to manage EC2 instances (capacity provisioning, patching, and scaling of the container instances) and allows the service to run tasks across multiple Availability Zones for higher availability. On the database side, modifying Aurora PostgreSQL to a Multi-AZ DB cluster (by adding a replica in another AZ) increases availability and supports faster recovery from an AZ failure with AWS-managed failover.

Why the other options are less suitable:

A: Making Aurora Multi-AZ improves database availability, but it does not address the compute layer’s biggest issue: ECS is on a single EC2 instance in one AZ with no auto scaling. RDS Proxy can help with connection management, but it does not fix the application’s single-AZ ECS single-instance availability risk.

B: Cross-Region read replicas and manual failover scripts increase operational burden. Also, it keeps ECS on EC2 (still requires instance management) and introduces a manual failover process, which is the opposite of “least operational overhead.”

D: Multi-Region active-active plus Aurora global database can deliver very high availability, but it adds significant complexity (multi-Region deployment, routing strategy, global database considerations, operational procedures). That is higher operational overhead than a straightforward multi-AZ design using managed services.

[References:, Amazon ECS Documentation: service placement across multiple Availability Zones; high availability patterns for ECS services, AWS Fargate Documentation: serverless container compute that removes the need to manage EC2 instances and supports multi-AZ task placement, Amazon Aurora PostgreSQL Documentation: Multi-AZ Aurora architecture, replicas across Availability Zones, and managed failover behavior, AWS Well-Architected Framework (Reliability Pillar): eliminating single points of failure with multi-AZ architectures and using managed services to reduce operational burden, AWS Certified Solutions Architect – Professional (SAP-C02) Exam Guide: designing highly available workloads, selecting managed services to reduce operational overhead, , ]

Question 3

A company hosts a Git repository in an on-premises data center. The company uses webhooks to invoke functionality that runs in the AWS Cloud. The company hosts the webhook logic on a set of Amazon EC2 instances in an Auto Scaling group that the company set as a target for an Application Load Balancer (ALB). The Git server calls the ALB for the configured webhooks. The company wants to move the solution to a serverless architecture.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

For each webhook, create and configure an AWS Lambda function URL. Update the Git servers to call the individual Lambda function URLs.

Create an Amazon API Gateway HTTP API. Implement each webhook logic in a separate AWS Lambda function. Update the Git servers to call the API Gateway endpoint.

Deploy the webhook logic to AWS App Runner. Create an ALB, and set App Runner as the target. Update the Git servers to call the ALB endpoint.

Containerize the webhook logic. Create an Amazon Elastic Container Service (Amazon ECS) cluster, and run the webhook logic in AWS Fargate. Create an Amazon API Gateway REST API, and set Fargate as the target. Update the Git servers to call the API Gateway endpoint.

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Amazon Web Services SAP-C02 Exam With Confidence Using Practice Dumps

SAP-C02: AWS Certified Professional Exam 2025 Study Guide Pdf and Test Engine

Related Amazon Web Services Exams

AWS Certified Solutions Architect - Professional Questions and Answers

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