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

Exam Code:
SAP-C02
Exam Name:
AWS Certified Solutions Architect - Professional
Questions:
625
Last Updated:
Apr 10, 2026
Exam Status:
Stable
Amazon Web Services SAP-C02

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

Question 1

A company is hosting an application on AWS for a project that will run for the next 3 years. The application consists of 20 Amazon EC2 On-Demand Instances that are registered in a target group for a Network Load Balancer (NLB). The instances are spread across two Availability Zones. The application is stateless and runs 24 hours a day, 7 days a week.

The company receives reports from users who are experiencing slow responses from the application. Performance metrics show that the instances are at 10% CPU utilization during normal application use. However, the CPU utilization increases to 100% at busy times, which typically last for a few hours.

The company needs a new architecture to resolve the problem of slow responses from the application.

Which solution will meet these requirements MOST cost-effectively?

Options:

A.

Create an Auto Scaling group. Attach the Auto Scaling group to the target group of the NLB. Set the minimum capacity to 20 and the desired capacity to 28. Purchase Reserved Instances for 20 instances.

B.

Create a Spot Fleet that has a request type of request. Set the TotalTargetCapacity parameter to 20. Set the DefaultTargetCapacityType parameter to On-Demand. Specify the NLB when creating the Spot Fleet.

C.

Create a Spot Fleet that has a request type of maintain. Set the TotalTargetCapacity parameter to 20. Set the DefaultTargetCapacityType parameter to Spot. Replace the NLB with an Application Load Balancer.

D.

Create an Auto Scaling group. Attach the Auto Scaling group to the target group of the NLB. Set the minimum capacity to 4 and the maximum capacity to 28. Purchase Reserved Instances for four instances.

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Question 2

A company wants to migrate virtual Microsoft workloads from an on-premises data center to AWS The company has successfully tested a few sample workloads on AWS. The company also has created an AWS Site-to-Site VPN connection to a VPC A solutions architect needs to generate a total cost of ownership (TCO) report for the migration of all the workloads from the data center

Simple Network Management Protocol (SNMP) has been enabled on each VM in the data center The company cannot add more VMs m the data center and cannot install additional software on the VMs The discovery data must be automatically imported into AWS Migration Hub

Which solution will meet these requirements?

Options:

A.

Use the AWS Application Migration Service agentless service and the AWS Migration Hub Strategy Recommendations to generate the TCO report

B.

Launch a Windows Amazon EC2 instance Install the Migration Evaluator agentless collector on the EC2 instance Configure Migration Evaluator to generate the TCO report

C.

Launch a Windows Amazon EC2 instance. Install the Migration Evaluator agentless collector on the EC2 instance. Configure Migration Hub to generate the TCO report

D.

Use the AWS Migration Readiness Assessment tool inside the VPC Configure Migration Evaluator to generate the TCO report

Question 3

A company runs a processing engine in the AWS Cloud. The engine processes environmental data from logistics centers to calculate a sustainability index. The company has millions of devices in logistics centers that are spread across Europe. The devices send information to the processing engine through a RESTful API. The API experiences unpredictable bursts of traffic. The company must implement a solution to process all data that the devices send to the processing engine. Data loss is unacceptable. Which solution will meet these requirements?

Options:

A.

Create an Application Load Balancer (ALB) for the RESTful API. Create an Amazon SQS queue. Create a listener and a target group for the ALB. Add the SQS queue as the target. Use a container that runs in Amazon ECS with the Fargate launch type to process messages in the queue.

B.

Create an Amazon API Gateway HTTP API that implements the RESTful API. Create an Amazon SQS queue. Create an API Gateway service integration with the SQS queue. Create an AWS Lambda function to process messages in the SQS queue.

C.

Create an Amazon API Gateway REST API that implements the RESTful API. Create a fleet of Amazon EC2 instances in an Auto Scaling group. Create an API Gateway Auto Scaling group proxy integration. Use the EC2 instances to process incoming data.

D.

Create an Amazon CloudFront distribution for the RESTful API. Create a data stream in Amazon Kinesis Data Streams. Set the data stream as the origin for the distribution. Create an AWS Lambda function to consume and process data in the data stream.