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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 11, 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 life sciences company is using a combination of open source tools to manage data analysis workflows and Docker containers running on servers in its on-premises data center to process genomics data Sequencing data is generated and stored on a local storage area network (SAN), and then the data is processed. The research and development teams are running into capacity issues and have decided to re-architect their genomics analysis platform on AWS to scale based on workload demands and reduce the turnaround time from weeks to days

The company has a high-speed AWS Direct Connect connection Sequencers will generate around 200 GB of data for each genome, and individual jobs can take several hours to process the data with ideal compute capacity. The end result will be stored in Amazon S3. The company is expecting 10-15 job requests each day

Which solution meets these requirements?

Options:

A.

Use regularly scheduled AWS Snowball Edge devices to transfer the sequencing data into AWS When AWS receives the Snowball Edge device and the data is loaded into Amazon S3 use S3 events to trigger an AWS Lambda function to process the data

B.

Use AWS Data Pipeline to transfer the sequencing data to Amazon S3 Use S3 events to trigger an Amazon EC2 Auto Scaling group to launch custom-AMI EC2 instances running the Docker containers to process the data

C.

Use AWS DataSync to transfer the sequencing data to Amazon S3 Use S3 events to trigger an AWS Lambda function that starts an AWS Step Functions workflow Store the Docker images in Amazon Elastic Container Registry (Amazon ECR) and trigger AWS Batch to run the container and process the sequencing data

D.

Use an AWS Storage Gateway file gateway to transfer the sequencing data to Amazon S3 Use S3 events to trigger an AWS Batch job that runs on Amazon EC2 instances running the Docker containers to process the data

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Question 2

A company hosts a ticketing service on a fleet of Linux Amazon EC2 instances that are in an Auto Scaling group. The ticketing service uses a pricing file. The pricing file is stored in an Amazon S3 bucket that has S3 Standard storage. A central pricing solution that is hosted by a third party updates the pricing file.

The pricing file is updated every 1–15 minutes and has several thousand line items. The pricing file is downloaded to each EC2 instance when the instance launches.

The EC2 instances occasionally use outdated pricing information that can result in incorrect charges for customers.

Which solution will resolve this problem MOST cost-effectively?

Options:

A.

Create an AWS Lambda function to update an Amazon DynamoDB table with new prices each time the pricing file is updated. Update the ticketing service to use DynamoDB to look up pricing.

B.

Create an AWS Lambda function to update an Amazon EFS file share with the pricing file each time the file is updated. Update the ticketing service to use Amazon EFS to access the pricing file.

C.

Load Mountpoint for Amazon S3 onto the AMI of the EC2 instances. Configure Mountpoint for Amazon S3 to mount the S3 bucket that contains the pricing file. Update the ticketing service to point to the mount point and path to access the S3 object.

D.

Create an Amazon EBS volume. Use EBS Multi-Attach to attach the volume to every EC2 instance. When a new EC2 instance launches, configure the new instance to update the pricing file on the EBS volume. Update the ticketing service to point to the new local source.

Question 3

A company wants to modernize a monolithic application in the company ' s data center and deploy the application on AWS. The monolithic application consists of an event broker in a central account and multiple microservices in individual AWS accounts. The event broker and the microservices are deployed on Amazon ECS clusters that use the Fargate launch type.

Multiple microservices need access to the same events from the event broker. The company wants to distribute events from the central event broker to each microservice across accounts.

Which solution will meet these requirements?

Options:

A.

Create an Amazon SNS topic in the central account. Add a topic policy to allow other accounts to subscribe to the topic. Create an Amazon SQS queue in each individual AWS account. Subscribe the SQS queue to the SNS topic. Configure the microservices to read events from their own SQS queue.

B.

Create a new Amazon EventBridge event bus in the central account with the required permissions. Add EventBridge rules filtered by service for each microservice. Invoke the rules to route events to other accounts.

C.

Create a data stream in Amazon Kinesis Data Streams in the central account. Create an IAM policy to grant the necessary permissions to access the data stream. Set each of the microservices as an event source on the Kinesis stream. Configure the stream to invoke each microservice.

D.

Create a new Amazon SQS queue as the event broker in the central account. Grant the required permissions. Configure each of the microservices to read messages from the central SQS queue.