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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:
691
Last Updated:
Oct 4, 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

Question:

A company is migrating a monolithic on-premises .NET Framework production application to AWS. Application demand will grow exponentially in the next 6 months. The company must ensure that the application can scale appropriately.

The application currently connects to a Microsoft SQL Server transactional database. The company has well-documented source code for the application. Some business logic is contained within stored procedures.

A solutions architect must recommend a solution to redesign the application to meet the growth in demand.

Which solution will meet this requirement MOST cost-effectively?

Options:

A.

Use Amazon API Gateway APIs and Amazon EC2 Spot Instances to rehost the application with a scalable microservices architecture. Deploy the EC2 instances in a cluster placement group. Configure EC2 Auto Scaling. Store the data and stored procedures in Amazon RDS for SQL Server.

B.

Use AWS Application Migration Service to migrate the application to AWS Elastic Beanstalk. Deploy Elastic Beanstalk packages to configure and deploy the application as microservices. Deploy Elastic Beanstalk across multiple Availability Zones and configure auto scaling. Store the data and stored procedures in Amazon RDS for MySQL.

C.

Migrate the applications by using AWS App2Container. Use AWS Fargate in multiple AWS Regions to host the containers. Use Amazon API Gateway APIs and AWS Lambda functions to call the containers. Store the data and stored procedures in Amazon DynamoDB Accelerator (DAX).

D.

Use Amazon API Gateway APIs and AWS Lambda functions to decouple the application into microservices. Use the AWS Schema Conversion Tool (AWS SCT) to review and modify the stored procedures. Store the data in Amazon Aurora Serverless v2.

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Question 2

A company wants to retire its Oracle Solaris NFS storage arrays. The company requires rapid data migration over its internet network connection to a combination of destinations for Amazon S3, Amazon EFS, and Amazon FSx for Windows File Server. The company also requires a full initial copy, as well as incremental transfers of changes until the retirement of the storage arrays. All data must be encrypted and checked for integrity.

What should a solutions architect recommend to meet these requirements?

Options:

A.

Configure AWS Application Migration Service. Create a project and deploy the AWS Replication Agent and token to the storage array. Run the migration plan to start the transfer.

B.

Configure AWS DataSync. Configure the DataSync agent and deploy it to the local network. Create a transfer task and start the transfer.

C.

Configure the aws S3 sync command. Configure the AWS client on the client side with credentials. Run the sync command to start the transfer.

D.

Configure AWS Transfer for FTP. Configure the FTP client with credentials. Script the client to connect and sync to start the transfer.

Question 3

A company is using Amazon SageMaker AI Notebook Instances and SageMaker APIs to train machine learning models. The SageMaker AI Notebook Instances are deployed in a VPC that does not have access to or from the internet. Datasets for model training are stored in an Amazon S3 bucket. Interface VPC endpoints provide access to Amazon S3 and the SageMaker APIs.

Occasionally, data scientists require access to a private Git repository to update application packages that they use as part of their workflow. The company must provide access to the Git repository while ensuring that the SageMaker AI Notebook Instances remain isolated from the internet.

Which solution meets these requirements with the LEAST operational overhead?

Options:

A.

Add the Git repository as a resource for SageMaker by referencing the remote URL. Configure AWS Secrets Manager to use Git credentials to access the repository.

B.

Add the Git repository as a resource for SageMaker by referencing the remote URL. Add the username to the URL that is required to access the repository.

C.

Create a NAT gateway in the VPC. Configure VPC routes to allow access to the internet. Configure network ACL rules that allow the SageMaker AI Notebook Instances access to only the Git repository URL.

D.

Create a NAT gateway in the VPC. Configure VPC routes to allow access to the internet with a network ACL that allows access to only the Git repository URL.