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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
Certification:
AWS Certified Professional
Vendor:
Amazon Web Services
Questions:
674
Last Updated:
Jun 3, 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

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Question 1

A company is hosting a three-tier web application in an on-premises environment. Due to a recentsurge in traffic that resulted in downtime and a significant financial impact, company management has ordered that the application be moved to AWS. The application is written in .NET and has a dependency on a MySQL database A solutions architect must design a scalable and highly available solution to meet the demand of 200000 daily users.

Which steps should the solutions architect take to design an appropriate solution?

Options:

A.

Use AWS Elastic Beanstalk to create a new application with a web server environment and an Amazon RDS MySQL Multi-AZ DB instance The environment should launch a Network Load Balancer (NLB) in front of an Amazon EC2 Auto Scaling group in multiple Availability Zones Use an Amazon Route 53 alias record to route traffic from the company ' s domain to the NLB.

B.

Use AWS CloudFormation to launch a stack containing an Application Load Balancer (ALB) in front of an Amazon EC2 Auto Scaling group spanning three Availability Zones. The stack should launch a Multi-AZ deployment of an Amazon Aurora MySQL DB cluster with a Retain deletion policy. Use an Amazon Route 53 alias record to route traffic from the company ' s domain to the ALB

C.

Use AWS Elastic Beanstalk to create an automatically scaling web server environment that spans two separate Regions with an Application Load Balancer (ALB) in each Region. Create a Multi-AZ deployment of an Amazon Aurora MySQL DB cluster with a cross-Region read replica Use Amazon Route 53 with a geoproximity routing policy to route traffic between the two Regions.

D.

Use AWS CloudFormation to launch a stack containing an Application Load Balancer (ALB) in front of an Amazon ECS cluster of Spot Instances spanning three Availability Zones The stack should launch an Amazon RDS MySQL DB instance with a Snapshot deletion policy Use an Amazon Route 53 alias record to route traffic from the company ' s domain to the ALB

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Question 2

A company is migrating an application to the AWS Cloud. The application runs in an on-premises data center and writes thousands of images into a mounted NFS file system each night. After the company migrates the application, the company will host the application on an Amazon EC2 instance with a mounted Amazon

Elastic File System (Amazon EFS) file system.

The company has established an AWS Direct Connect connection to AWS. Before the migration cutover, a solutions architect must build a process that will replicate the newly created on-premises images to the EFS file system.

What is the MOST operationally efficient way to replicate the images?

Options:

A.

Configure a periodic process to run the aws s3 sync command from the on-premises file system to Amazon S3. Configure an AWS Lambda function to process event notifications from Amazon S3 and copy the images from Amazon S3 to the EFS file system.

B.

Deploy an AWS Storage Gateway file gateway with an NFS mount point. Mount the file gateway file system on the on-premises server. Configure a process to periodically copy the images to the mount point.

C.

Deploy an AWS DataSync agent to an on-premises server that has access to the NFS file system. Send data over the Direct Connect connection to an S3 bucket by using public VIF. Configure an AWS Lambda function to process event notifications from Amazon S3 and copy the images from Amazon S3 to the EFS file system.

D.

Deploy an AWS DataSync agent to an on-premises server that has access to the NFS file system. Send data over the Direct Connect connection to an AWS PrivateLink int

Question 3

A multi-tenant software as a service (SaaS) customer support platform serves thousands of enterprise clients. The platform must deploy more than 5,000 customized models that use the same ML framework to classify tickets, optimize inference infrastructure costs, and maintain sub-200 ms latency. The platform must operate in a multiaccount AWS architecture that includes separate accounts for development, staging, and production environments.

Which solution will meet these requirements MOST cost-effectively?

Options:

A.

Deploy each model to a dedicated Amazon SageMaker AI real-time endpoint. Provision ml.g5.xlarge instances to handle peak traffic. Use cross-account IAM roles to grant AWS accounts access to model artifacts.

B.

Deploy models by using Amazon SageMaker AI multi-model endpoints with inference components. Enable auto scaling in a centralized production account.

C.

Deploy models to individual Amazon SageMaker AI serverless inference endpoints. Configure auto scaling. Deploy the endpoints in separate AWS accounts for each environment. Use cross-account Amazon S3 bucket policies to share models.

D.

Deploy models to Amazon SageMaker AI asynchronous inference endpoints. Use Amazon S3 to queue requests from multiple accounts. Use batch transform jobs to perform offline processing.

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