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Amazon SAP-C02 exam is a certification exam offered by Amazon Web Services (AWS) for professionals seeking to become certified solutions architects. SAP-C02 exam is designed to test the candidate's knowledge and skills in designing and deploying scalable, highly available, and fault-tolerant systems on the AWS platform. SAP-C02 exam has been updated to reflect the latest AWS services and best practices, ensuring that certified professionals have the most up-to-date knowledge.

The SAP-C02 exam is a two-part examination consisting of multiple-choice and multiple-response questions, which test a candidate's ability to design and deploy AWS solutions that meet customer requirements. SAP-C02 Exam is intended for individuals who have already achieved the AWS Certified Solutions Architect - Associate certification and have at least two years of experience working with AWS. By passing the SAP-C02 certification exam, individuals demonstrate their ability to design, implement, and manage complex AWS architectures and solutions, thereby enhancing their professional credentials and career prospects in the cloud computing industry.

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Amazon SAP-C02 Certification Exam is designed to test the skills and knowledge of IT professionals in deploying and managing complex applications on the AWS platform. AWS Certified Solutions Architect - Professional (SAP-C02) certification is aimed at professionals who have already obtained the AWS Certified Solutions Architect - Associate certification and want to advance their knowledge and skills to become a professional solutions architect.

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q363-Q368):

NEW QUESTION # 363
A company runs an loT platform on AWS loT sensors in various locations send data to the company's Node js API servers on Amazon EC2 instances running behind an Application Load Balancer The data is stored in an Amazon RDS MySQL DB instance that uses a 4 TB General Purpose SSD volume The number of sensors the company has deployed in the field has increased over time and is expected to grow significantly The API servers are consistently overloaded and RDS metrics show high write latency Which of the following steps together will resolve the issues permanently and enable growth as new sensors are provisioned, while keeping this platform cost-efficient? {Select TWO.)

A. Leverage Amazon Kinesis Data Streams and AWS Lambda to ingest and process the raw data
B. Resize the MySQL General Purpose SSD storage to 6 TB to improve the volume's IOPS
C. Re-architect the database tier to use Amazon Aurora instead of an RDS MySQL DB instance and add read replicas
D. Use AWS X-Ray to analyze and debug application issues and add more API servers to match the load
E. Re-architect the database tier to use Amazon DynamoDB instead of an RDS MySQL DB instance

Answer: A,E

NEW QUESTION # 364
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?

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 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.
C. 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.
D. 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.

Answer: C

Explanation:
Option B is correct because high-risk agent actions require a durable pause, human approval, and a controlled resume or cancellation path. Step Functions callback with task token is the cleanest pattern for this requirement. The workflow can stop progressing while waiting for approval without running compute continuously, and the task token uniquely correlates the pending approval response to the correct workflow execution. AWS documentation states that callback tasks pause a workflow until the task token is returned and that this pattern is suitable for human approvals and third-party integrations. Option A requires a custom polling application. Option C wastes compute by polling DynamoDB. Option D violates the requirement for human approval because a second agent automatically approves or rejects actions.

NEW QUESTION # 365
A company completed a successful Amazon Workspaces proof of concept. They now want to make Workspaceshighly available across two AWS Regions. Workspaces are deployed in the failover Region. A hosted zone is available in Amazon Route 53.
What should the solutions architect do?

A. Create a connection alias in the primary Region. Associate with the directory in the primary Region.
Use Route 53 weighted routing.
B. Create a connection alias in the primary Region. Associate it with the directory in the failover Region.Use Route 53 failover routing with Evaluate Target Health = Yes.
C. Create a connection alias in the primary Region and in the failover Region. Associate each with a directory in its Region. Create a Route 53 failover routing policy with Evaluate Target Health = Yes.
D. Create a connection alias in both Regions. Associate both with a directory in the primary Region. Use a Route 53 multivalue answer routing policy.

Answer: C

Explanation:
A is correct because AWS recommends using oneconnection alias per Region, associated witheach directory.
Then, configure a Route 53 failover policy so that if the primary Region becomes unhealthy, users are directed to the failover Region automatically. "Evaluate Target Health" ensures automatic detection and failover.
References:
Amazon Workspaces Cross-Region Resilience
Route 53 Failover Routing

NEW QUESTION # 366
A company stores all its infrastructure code in a central Git repository that is hosted on GitHub Enterprise.
The company wants to implement a process that submits every infrastructure update by using a pull request.
Each pull request must automatically receive an AWS CloudFormation change set. After the pull request is approved, CloudFormation must apply the updates directly. The process must not require custom pipelines or manual template processing.
Which solution will meet these requirements?

A. Use CloudFormation drift detection. Create an Amazon EventBridge rule that reacts to pull request updates. Configure the EventBridge rule to produce drift comparison results and send the results as comments before the stack is updated.
B. Use CloudFormation Git sync to link CloudFormation with the repository. Configure automatic change set creation for pull request updates. Configure CloudFormation to post the change set summary and apply the update when the pull request is approved and merged.
C. Use CloudFormation Lambda Hooks. Configure Lambda Hooks to evaluate the updated template and write the planned changes into the pull request when a stack update is requested.
D. Use CloudFormation to invoke an AWS CodePipeline action. Configure the CodePipeline action to validate the template and publish the validation results as pull request comments.

Answer: B

Explanation:
Option B is correct because CloudFormation Git sync is built specifically to connect CloudFormation stacks to source-controlled templates and deployment files in Git repositories. It supports GitHub Enterprise as a provider, can monitor repository changes, and can update stacks after approved changes are merged. AWS documentation states that Git sync works with pull requests and can post comments explaining what changes will be made before a stack update. This directly satisfies the requirement for automatic change set visibility on pull requests without building custom CodePipeline logic or manually processing templates. Option A introduces a custom pipeline, which the question explicitly rejects. Drift detection compares deployed resources against expected configuration; it does not create pull-request change sets. Lambda Hooks evaluate resources during CloudFormation operations but do not provide native Git pull-request synchronization.

NEW QUESTION # 367
A company runs a popular web application in an on-premises data center. The application receives four million views weekly. The company expects traffic to increase by 200% because of an advertisement that will be published soon.
The company needs to decrease the load on the origin before the increase of traffic occurs.
The company does not have enough time to move the entire application to the AWS Cloud.
Which solution will meet these requirements?

A. Create an Amazon CloudFront content delivery network (CDN). Enable query forwarding to the origin. Create a managed cache policy that includes query strings. Use an on-premises load balancer as the origin. Offload the DNS querying to AWS to handle CloudFront CDN traffic.
B. Create an accelerator in AWS Global Accelerator. Add listeners for HTTP and HTTPS TCP ports. Create an endpoint group. Create an Application Load Balancer (ALB), and attach it to the endpoint group. Point the ALB to the on-premises servers. Offload the DNS querying to AWS to handle AWS Global Accelerator traffic.
C. Create an accelerator in AWS Global Accelerator. Add listeners for HTTP and HTTPS TCP ports. Create an endpoint group. Create a Network Load Balancer (NLB), and attach it to the endpoint group. Point the NLB to the on-premises servers. Offload the DNS querying to AWS to handle AWS Global Accelerator traffic.
D. Create an Amazon CloudFront content delivery network (CDN) that uses a Real Time Messaging Protocol (RTMP) distribution. Enable query forwarding to the origin. Use an on-premises load balancer as the origin. Offload the DNS querying to AWS to handle CloudFront CDN traffic.

Answer: B

NEW QUESTION # 368
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