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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:
674
Last Updated:
Jun 6, 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 deploys an AI agent on Amazon Bedrock AgentCore Runtime. The agent processes customer requests. Some agent actions are classified as high risk and must receive human approval before proceeding. The workflow must pause the agent, notify a human approver, and resume or cancel the action based on the approver ' s decision. Approvals typically take between 5 minutes and 60 minutes.

Which solution will meet these requirements?

Options:

A.

Configure the agent to write high-risk action requests to an Amazon SQS queue. Create a separate polling application that reads the queue and sends approval email messages by using Amazon SES. Configure the application to invoke the agent by providing the approval result.

B.

Configure an AWS Step Functions workflow that invokes the agent. Use a task token callback pattern to pause the workflow when the agent identifies a high-risk action. Send the task token to an approver by using Amazon SNS. Resume or cancel the workflow when the approver responds with the task token.

C.

Configure the agent to invoke an AWS Lambda function for high-risk actions. Configure the Lambda function to send an approval email message by using Amazon SNS. Configure the Lambda function to poll an Amazon DynamoDB table until the approver updates the approval status.

D.

Configure an Amazon EventBridge rule that intercepts all agent actions. Route high-risk actions to a separate approval queue. Create a second agent that monitors the queue and automatically approves or rejects actions without human input based on predefined rules.

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Question 2

A retail company is mounting IoT sensors in all of its stores worldwide. During the manufacturing of each sensor, the company ' s private certificate authority (CA) issues an X.509 certificate that contains a unique serial number. The company then deploys each certificate to its respective sensor.

A solutions architect needs to give the sensors the ability to send data to AWS after they are installed. Sensors must not be able to send data to AWS until they are installed.

Which solution will meet these requirements?

Options:

A.

Create an AWS Lambda function that can validate the serial number. Create an AWS IoT Core provisioning template. Include the SerialNumber parameter in the Parameters section. Add the Lambda function as a pre-provisioning hook. During manufacturing, call the RegisterThing API operation and specify the template and parameters.

B.

Create an AWS Step Functions state machine that can validate the serial number. Create an AWS IoT Core provisioning template. Include the SerialNumber parameter in the Parameters section. Specify the Step Functions state machine to validate parameters. Call the StartThingRegistrationTask API operation during installation.

C.

Create an AWS Lambda function that can validate the serial number. Create an AWS IoT Core provisioning template. Include the SerialNumber parameter in the Parameters section. Add the Lambda function as a pre-provisioning hook. Register the CA with AWS IoT Core, specify the provisioning template, and set the allow-auto-registration parameter.

D.

Create an AWS IoT Core provisioning template. Include the SerialNumber parameter in the Parameters section. Include parameter validation in the template. Provision a claim certificate and a private key for each device that uses the CA. Grant AWS IoT Core service permissions to update AWS IoT things during provisioning.

Question 3

A live-events company is designing a scaling solution for its ticket application on AWS. The application has high peaks of utilization during sale events. Each sale event is a one-time event that is scheduled.

The application runs on Amazon EC2 instances that are in an Auto Scaling group. The application uses PostgreSOL for the database layer.

The company needs a scaling solution to maximize availability during the sale events.

Which solution will meet these requirements?

Options:

A.

Use a predictive scaling policy for the EC2 instances. Host the database on an Amazon Aurora PostgreSOL Serverless v2 Multi-AZ DB instance with automatically scaling read replicas. Create an AWS Step Functions state machine to run parallel AWS Lambda functions to pre-warm the database before a sale event. Create an Amazon EventBridge rule to invoke the state machine.

B.

Use a scheduled scaling policy for the EC2 instances. Host the database on an Amazcyl ROS for PostgreSQL Multi-AZ DB instance with automatically scaling read replicas. Create an Amazon EventBridge rule that invokes an AWS Lambda function to create a larger read replica before a sale event. Fail over to the larger read replica. Create another EventBridge rule that invokes another Lambda function to scale down the read replica after the sale

C.

Use a predictive scaling policy for the EC2 instances. Host the database on an Amazon RDS for PostgreSOL Multi-AZ DB instance with automatically scaling read replica. Create an AWS Step Functions state machine to run parallel AWS Lambda functions to pre-warm the database before a saleevent. Create an Amazon EventBridge rule to invoke the state machine.

D.

Use a scheduled scaling policy for the EC2 instances. Host the database on an Amazon Aurora PostgreSQL Multi-AZ DB duster. Create an Amazon EventBridge rule that invokes an AWS Lambda function to create a larger Aurora Replica before a sale event. Fail over to the larger Aurora Replica. Create another EventBridge rule that invokes another Lambda function to scale down the Aurora Replica after the sale event.