The talent is everywhere in modern society. This is doubly true for IT field. With the popularity of the computer, hardly anyone can't use a computer. Working in the IT industry, don't you feel pressure? Educational level is not representative of your strength. Education is just a ticket, however really keeping your status is your strength. As IT staff, how to cultivate your strength? It is a good choice to take IT certification test which can not only help you master more skills, also can get the certificate to prove your ability. Do you want to take Amazon SAP-C02 Exam that is very popular in recent?

The Amazon SAP-C02 exam is an advanced certification for IT professionals who want to demonstrate their expertise in designing and deploying scalable, fault-tolerant, and highly available systems on the Amazon Web Services (AWS) platform. This exam is intended for individuals who have already obtained the AWS Certified Solutions Architect – Associate certification and have at least two years of experience in designing and deploying AWS-based applications.

The Amazon SAP-C02 (AWS Certified Solutions Architect - Professional) Certification Exam is designed for IT professionals who are seeking to validate their skills and knowledge in designing and deploying highly available, cost-effective, fault-tolerant, and scalable systems on Amazon Web Services (AWS) cloud platform. It is an advanced-level exam that builds upon the foundational knowledge and skills tested in the AWS Certified Solutions Architect - Associate certification exam. The SAP-C02 exam validates the candidate's ability to design, deploy, and manage complex AWS architectures and solutions that meet business requirements.

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q193-Q198):

NEW QUESTION # 193
A company is running an application in the AWS Cloud. The application runs on containers in an Amazon Elastic Container Service (Amazon ECS) cluster. The ECS tasks use the Fargate launch type. The application's data is relational and is stored in Amazon Aurora MySQL. To meet regulatory requirements, the application must be able to recover to a separate AWS Region in the event of an application failure. In case of a failure, no data can be lost.
Which solution will meet these requirements with the LEAST amount of operational overhead?

  • A. Set up AWS DataSync for continuous replication of the data to a different Region.
  • B. Set up AWS Database Migration Service (AWS DMS) to perform a continuous replication of the data to a different Region.
  • C. Use Amazon Data Lifecycle Manager {Amazon DLM) to schedule a snapshot every 5 minutes.
  • D. Provision an Aurora Replica in a different Region.

Answer: A


NEW QUESTION # 194
A finance company hosts a data lake in Amazon S3. The company receives financial data records over SFTP each night from several third parties. The company runs its own SFTP server on an Amazon EC2 instance in a public subnet of a VPC. After the files ate uploaded, they are moved to the data lake by a cron job that runs on the same instance. The SFTP server is reachable on DNS sftp.examWe.com through the use of Amazon Route 53.
What should a solutions architect do to improve the reliability and scalability of the SFTP solution?

  • A. Place the EC2 instance behind a Network Load Balancer (NLB). Update the DNS record sftp.example.com in Route 53 to point to the NLB.
  • B. Migrate the SFTP server to a file gateway in AWS Storage Gateway. Update the DNS record sflp.example.com in Route 53 to point to the file gateway endpoint.
  • C. Move the EC2 instance into an Auto Scaling group. Place the EC2 instance behind an Application Load Balancer (ALB). Update the DNS record sftp.example.com in Route 53 to point to the ALB.
  • D. Migrate the SFTP server to AWS Transfer for SFTP. Update the DNS record sftp.example.com in Route 53 to point to the server endpoint hostname.

Answer: D


NEW QUESTION # 195
A company is using AWS CodePipeline for the CI/CO of an application to an Amazon EC2 Auto Scaling group. All AWS resources are defined in AWS CloudFormation templates. The application artifacts are stored in an Amazon S3 bucket and deployed to the Auto Scaling group using instance user data scripts. As the application has become more complex, recent resource changes in the Cloud Formation templates have caused unplanned downtime.
How should a solutions architect improve the CI'CD pipeline to reduce the likelihood that changes in the templates will cause downtime?

  • A. Adapt the deployment scripts to detect and report CloudFormation error conditions when performing deployments. Write test plans for a testing team to execute in a non-production environment before approving the change for production.
  • B. Implement automated testing using AWS CodeBuild in a test environment. Use CloudFormation change sets to evaluate changes before deployment. Use AWS CodeDeploy to leverage blue/green deployment patterns to allow evaluations and the ability to revert changes, if needed.
  • C. Use plugins for the integrated development environment (IDE) to check the templates for errors, and use the AWS CLI to validate that the templates are correct. Adapt the deployment code to check for error conditions and generate notifications on errors. Deploy to a test environment and execute a manual test plan before approving the change for production.
  • D. Use AWS CodeDeploy and a blue/green deployment pattern with CloudFormation to replace the user data deployment scripts. Have the operators log in to running instances and go through a manual test plan to verify the application is running as expected.

Answer: B

Explanation:
Explanation
https://aws.amazon.com/blogs/devops/performing-bluegreen-deployments-with-aws-codedeploy-and-auto-scalin When one adopts go infrastructure as code, we need to test the infrastructure code as well via automated testing, and revert to original if things are not performing correctly.


NEW QUESTION # 196
A solutions architect is evaluating the reliability of a recently migrated application running on AWS. The front end is hosted on Amazon S3 and accelerated by Amazon CloudFront. The application layer is running in a stateless Docker container on an Amazon EC2 On-Demand Instance with an Elastic IP address. The storage layer is a MongoDB database running on an EC2 Reserved Instance in the same Availability Zone as the application layer.
Which combination of steps should the solutions architect take to eliminate single points of failure with minimal application code changes? (Select TWO.)

  • A. Migrate the storage layer to Amazon DocumentD8 (with MongoDB compatibility).
  • B. Create an Application Load Balancer and migrate the Docker container to AWS Fargate.
  • C. Migrate the storage layer to Amazon DynamoD8.
  • D. Create an Application Load Balancer and move the storage layer to an EC2 Auto Scaling group.
  • E. Create a REST API in Amazon API Gateway and use AWS Lambda functions as the application layer.

Answer: A,B

Explanation:
Explanation
https://aws.amazon.com/documentdb/?nc1=h_ls
https://aws.amazon.com/blogs/containers/using-alb-ingress-controller-with-amazon-eks-on-fargate/


NEW QUESTION # 197
A company is processing videos in the AWS Cloud by using Amazon EC2 instances in an Auto Scaling group. It takes 30 minutes to process a video. Several EC2 instances scale in and out depending on the number of videos in an Amazon Simple Queue Service (Amazon SQS) queue.
The company has configured the SQS queue with a redrive policy that specifies a target dead-letter queue and a maxReceiveCount of 1. The company has set the visibility timeout for the SQS queue to 1 hour. The company has set up an Amazon CloudWatch alarm to notify the development team when there are messages in the dead-letter queue.
Several times during the day, the development team receives notification that messages are in the dead-letter queue and that videos have not been processed properly. An investigation finds no errors in the application logs.
How can the company solve this problem?

  • A. Configure scale-in protection for the instances during processing.
  • B. Update the visibility timeout for the SOS queue to 3 hours.
  • C. Update the redrive policy and set maxReceiveCount to 0.
  • D. Turn on termination protection for the EC2 instances.

Answer: B

Explanation:
The best solution for this problem is to update the visibility timeout for the SQS queue to 3 hours. This is because when the visibility timeout is set to 1 hour, it means that if the EC2 instance doesn't process the message within an hour, it will be moved to the dead-letter queue. By increasing the visibility timeout to 3 hours, this should give the EC2 instance enough time to process the message before it gets moved to the dead-letter queue. Additionally, configuring scale-in protection for the EC2 instances during processing will help to ensure that the instances are not terminated while the messages are being processed.


NEW QUESTION # 198
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