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Amazon SAP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Design solutions for organizational complexity	26%
Continuous improvement for existing solutions	25%
Design for new solutions	29%
Accelerate workload migration and modernization	20%

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q26-Q31):

NEW QUESTION # 26
A company hosts a metadata API on Amazon EC2 instances behind an internet-facing Application Load Balancer (ALB). Only internal applications that run on EC2 instances in separate AWS accounts need to access the metadata API. All the internal EC2 instances use NAT gateways.
A new policy requires that traffic between internal applications must not travel across the public internet.
Which solution will meet this requirement?

A. Create an HTTP API in Amazon API Gateway. Configure a route for the metadata API. Configure a VPC link to the VPC that hosts the metadata API's EC2 instances. Update the API Gateway resource policy to include the account IDs of the internal applications that access the metadata API.
B. Create a REST API in Amazon API Gateway. Specify the API Gateway endpoint type as private.
Associate the REST API with the metadata API's VPC. Create a gateway VPC endpoint for the REST API. Share the endpoint across accounts by using AWS Resource Access Manager (AWS RAM). Configure the internal applications to connect to the gateway VPC endpoint.
C. Create an internal ALB. Register the metadata API's EC2 instances with the internal ALB.Configure an AWS PrivateLink endpoint service for the internal ALB. Grant the internal applications access to the metadata API through the PrivateLink endpoint.
D. Create an internal ALB. Register the metadata API's EC2 instances with the internal ALB. Create an internal Network Load Balancer (NLB) that has a target group type of ALB. Register the internal ALB as the target. Configure an AWS PrivateLink endpoint service for the NLB. Grant the internal applications access to the metadata API through the PrivateLink endpoint.

Answer: C

Explanation:
Creating an internal Application Load Balancer (ALB) and registering the metadata API's EC2 instances with it ensures that the API is accessible only within the private network, without exposing it to the public internet. Using AWS PrivateLink allows secure and private connectivity between the internal applications and the ALB. By configuring the PrivateLink endpoint service for the internal ALB and granting access to the internal applications, traffic will be routed securely over the AWS private network, meeting the requirement that traffic does not travel across the public internet.

NEW QUESTION # 27
A company has an application that stores data in a single Amazon S3 bucket. The company must keep all data for 1 year. The company's security team is concerned that an attacker could gain access to the AWS account through leaked long-term credentials.
Which solution will ensure that existing and future objects in the S3 bucket are protected?

A. Enable Amazon GuardDuty with the S3 protection feature for the account and the AWS Region.
Add an S3 Lifecycle rule to delete objects after 1 year.
B. Explicitly deny bucket creation from all users and roles except for an AWS Service Catalog launch constraint role. Define a Service Catalog product for the creation of the S3 bucket to force S3 Versioning and MFA Delete to be enabled. Authorize users to launch the product when they need to create an S3 bucket.
C. Create a new AWS account that is accessible only to the security team through an assumed role.
Create an S3 bucket in the new account. Enable S3 Versioning and S3 Object Lock. Configure a default retention period of 1 year. Set up replication from the existing S3 bucket to the new S3 bucket. Create an S3 Batch Replication job to copy all existing data.
D. Use the s3-bucket-versioning-enabled AWS Config managed rule. Configure an automatic remediation action that uses an AWS Lambda function to enable S3 Versioning and MFA Delete on noncompliant resources. Add an S3 Lifecycle rule to delete objects after 1 year.

Answer: C

Explanation:
https://docs.aws.amazon.com/AmazonS3/latest/userguide/security-best-practices.html

NEW QUESTION # 28
A company is building an AI agent that is deployed on Amazon Bedrock AgentCore Runtime. The agent accesses multiple external services on behalf of individual users. Each user must grant the agent permission to access their accounts on the external services. The agent must authenticate as its own identity rather than impersonate users when communicating with downstream services.
Which solution will meet these requirements?

A. Create an IAM role for the agent that has policies that grant access to each external service API.
Configure the agent to assume the IAM role and pass user credentials to each downstream service.
B. Store each user's external service credentials in AWS Secrets Manager. Configure the agent to retrieve the credentials at runtime and authenticate to each service by presenting the user's credentials.
C. Configure resource credential providers by using the OAuth 2.0 authorization code grant flow for each external service. Register the agent as a work load identity in an agent identity directory. Use the token vault to store user-delegated access tokens specific to each user-agent combination.
D. Configure the agent to use the OAuth 2.0 client credentials grant flow for each external service.Register the agent as a workload identity. Use machine-to-machine authentication to access each user's data without requiring user consent.

Answer: C

Explanation:
The authorization code flow obtains each user's explicit consent for access to user-specific external accounts. AgentCore Identity securely stores the delegated tokens per user-agent combination while preserving the agent's distinct workload identity when it accesses downstream services.

NEW QUESTION # 29
A company has migrated an application from on premises to AWS. The application frontend is a static website that runs on two Amazon EC2 instances behind an Application Load Balancer (ALB). The application backend is a Python application that runs on three EC2 instances behind another ALB. The EC2 instances are large, general purpose On-Demand Instances that were sized to meet the on-premises specifications for peak usage of the application.
The application averages hundreds of thousands of requests each month. However, the application is used mainly during lunchtime and receives minimal traffic during the rest of the day.
A solutions architect needs to optimize the infrastructure cost of the application without negatively affecting the application availability.
Which combination of steps will meet these requirements? (Choose two.)

A. Change all the backend EC2 instances to Spot Instances.
B. Change all the EC2 instances to compute optimized instances that have the same number of cores as the existing EC2 instances.
C. Deploy the backend Python application to general purpose burstable EC2 instances that have the same number of cores as the existing EC2 instances.
D. Deploy the application frontend by using AWS Elastic Beanstalk. Use the same instance type for the nodes.
E. Move the application frontend to a static website that is hosted on Amazon S3.

Answer: A,E

Explanation:
Explanation
Moving the application frontend to a static website that is hosted on Amazon S3 will save cost as S3 is cheaper than running EC2 instances.
Using Spot instances for the backend EC2 instances will also save cost, as they are significantly cheaper than On-Demand instances. This will be suitable for the application, as it has minimal traffic during the rest of the day, and the availability of spot instances will not negatively affect the application's availability.
Reference:
Amazon S3 pricing: https://aws.amazon.com/s3/pricing/
Amazon EC2 Spot Instances documentation: https://aws.amazon.com/ec2/spot/ AWS Elastic Beanstalk documentation: https://aws.amazon.com/elasticbeanstalk/ Amazon Elastic Compute Cloud (EC2) pricing: https://aws.amazon.com/ec2/pricing/

NEW QUESTION # 30
A company has an application that runs on Amazon EC2 instances in an Amazon EC2 Auto Scaling group. The company uses AWS CodePipeline to deploy the application. The instances that run in the Auto Scaling group are constantly changing because of scaling events.
When the company deploys new application code versions, the company installs the AWS CodeDeploy agent on any new target EC2 instances and associates the instances with the CodeDeploy deployment group. The application is set to go live within the next 24 hours.
What should a solutions architect recommend to automate the application deployment process with the LEAST amount of operational overhead?

A. Write a script to suspend Amazon EC2 Auto Scaling operations before the deployment of new code. When the deployment is complete, create a new AMI and configure the Auto Scaling group's launch template to use the new AMI for new launches. Resume Amazon EC2 Auto Scaling operations.
B. Create a new AMI that has the CodeDeploy agent installed. Configure the Auto Scaling group's launch template to use the new AMI. Associate the CodeDeploy deployment group with the Auto Scaling group instead of the EC2 instances.
C. Create a new AWS CodeBuild project that creates a new AMI that contains the new code.
Configure CodeBuild to update the Auto Scaling group's launch template to the new AMI. Run an Amazon EC2 Auto Scaling instance refresh operation.
D. Configure Amazon EventBridge (Amazon CloudWatch Events) to invoke an AWS Lambda function when a new EC2 instance is launched into the Auto Scaling group. Code the Lambda function to associate the EC2 instances with the CodeDeploy deployment group.

Answer: B

Explanation:
https://docs.aws.amazon.com/codedeploy/latest/userguide/integrations-aws-auto-scaling.html

NEW QUESTION # 31
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