100% Free Amazon SAP-C02 Practice Test Questions

Question 1

A company is developing an application that will display financial reports. The company needs a solution that

can store financial Information that comes from multiple systems. The solution must provide the reports

through a web interface and must serve the data will less man 500 milliseconds or latency to end users. The

solution also must be highly available and must have an RTO or 30 seconds.

Which solution will meet these requirements?

A : Use an Amazon Redshift cluster to store the data. Use a state website that is hosted on Amazon S3 with backend APIs that ate served by an Amazon Elastic Cubemates Service (Amazon EKS) cluster to provide the reports to the application.

B : Use Amazon S3 to store the data Use Amazon Athena to provide the reports to the application. Use AWS App Runner to serve the application to view the reports.

C : Use Amazon DynamoDB to store the data, use an embedded Amazon QuickStight dashboard with direct Query datasets to provide the reports to the application.

D : Use Amazon Keyspaces (for Apache Cassandra) to store the data, use AWS Elastic Beanstalk to provide the reports to the application.

Answer: C

Question 2

A company is migrating its legacy .NET workload to AWS. The company has a containerized setup that

includes a base container image. The base image is tens of

gigabytes in size because of legacy libraries and other dependencies. The company has images for custom

developed components that are dependent on the base image.The company will use Amazon Elastic Container Registry (Amazon ECR) as part of its solution on AWS. Which solution will provide the LOWEST container startup time on AWS?

A : Use Amazon ECR to store the base image and the images for the custom developed components. Use Amazon Elastic Container Service (Amazon ECS) on AWS Fargate to run the workload.

B : Use Amazon ECR to store the base image and the images for the custom developed components. Use AWS App Runner to run the workload.

C : Use Amazon ECR to store the images for the custom developed components. Create an AMI that contains the base image. Use Amazon Elastic Container Service (Amazon ECS) on Amazon EC2 instances that are based on the AMI to run the workload

D : Use Amazon ECR to store the images for the custom developed components. Create an AMI that contains the base image. Use Amazon Elastic Kubernetes Service (Amazon EKS) on AWS Fargate with the AMI to run the workload.

Answer: C

Question 3

A manufacturing company is building an inspection solution for its factory. The company has IP cameras at the end of each assembly line. The company has used Amazon SageMaker to train a machine learning (ML) model to identify common defects from still images.

The company wants to provide local feedback to factory workers when a defect is detected. The company must be able to provide this feedback even if the factory's internet connectivity is down. The company has a local Linux server that hosts an API that provides local feedback to the workers.

How should the company deploy the ML model to meet these requirements?

A : Set up an Amazon Kinesis video stream from each IP camera to AWS. Use Amazon EC2 instances to take still images of the streams. Upload the images to an Amazon S3 bucket. Deploy a SageMaker endpoint with the ML model. Invoke an AWS Lambda function to call the inference endpoint when new images are uploaded. Configure the Lambda function to call the local API when a defect is detected.

B : Deploy AWS IoT Greengrass on the local server. Deploy the ML model to the Greengrass server. Create a Greengrass component to take still images from the cameras and run inference. Configure the component to call the local API when a defect is detected.

C : Order an AWS Snowball device. Deploy a SageMaker endpoint the ML model and an Amazon EC2 instance on the Snowball device. Take still images from the cameras. Run inference from the EC2 instance. Configure the instance to call the local API when a defect is detected.

D : Deploy Amazon Monitron devices on each IP camera. Deploy an Amazon Monitron Gateway on premises. Deploy the ML model to the Amazon Monitron devices. Use Amazon Monitron health state alarms to call the local API from an AWS Lambda function when a defect is detected.

Answer: B

Question 4

A company is using a lift-and-shift strategy to migrate applications from several on-premises Windows servers

to AWS. The Windows servers will be hosted on Amazon EC2 instances in the us-east-1 Region.

The company's security policy allows the installation of migration tools on servers. The migration data must

be encrypted in transit and encrypted at rest. The applications are business critical. The company needs to

minimize the cutover window and minimize the downtime that results from the migration. The company wants

to use Amazon CloudWatch and AWS CloudTrail for monitoring.

Which solution will meet these requirements?

A : Use AWS Application Migration Service (CloudEnsure Migration) to migrate the Windows servers toAWS. Create a Replication Settings template. Install the AWS Replication Agent on the source servers

B : Use AWS DataSync to migrate the Windows servers to AWS. Install the DataSync agent on the sourceservers. Configure a blueprint for the target servers. Begin the replication process.

C : Use AWS Server Migration Service (AWS SMS) to migrate the Windows servers to AWS. Install theSMS Connector on the source servers. Replicate the source servers to AWS. Convert the replicatedvolumes to AMIs to launch EC2 instances.

D : Use AWS Migration Hub to migrate the Windows servers to AWS. Create a project in Migration Hub.Track the progress of server migration by using the built-in dashboard.

Answer: A

Question 5

A company recently developed a web application that processes customer behavioral data and stores the results in a DynamoDB table. The application is expected to receive a high usage load. To ensure that data is not lost when DynamoDB write requests are throttled, the solutions architect must reduce the load taken by the table.

Which of the following is the MOST cost-effective strategy for reducing the load on the DynamoDB table?

A : Use an SQS queue to decouple messages from the application and the database.

B : Replicate the DynamoDB table to another AWS region using global tables.

C : Provision more DynamoDB tables to absorb the load.

D : Provision higher write-capacity units (WCUs) to your DynamoDB table.

Answer: A

Free Practice Amazon SAP-C02 Exam Questions 2025