Online Access Free Amazon.SAP-C02.v2023-04-10.q185 Practice Test (Page 7)

SAP-C02 Exam Question 26

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.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.

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.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.

SAP-C02 Exam Question 27

A company is currently using AWS CodeCommit for its source control and AWS CodePipeline for continuous integration The pipeline has a build stage for building the artifacts, which is then staged in an Amazon S3 bucket.
The company has identified various improvement opportunities in the existing process and a solutions architect has been given the following requirements
* Create a new pipeline to support feature development
* Support feature development without impacting production applications
* Incorporate continuous testing with unit tests
* Isolate development and production artifacts
* Support the capability to merge tested code into production code
How should the solutions architect achieve these requirements?

A.Trigger a separate pipeline from CodeCommit feature branches Use AWS CodeBuild for running unit tests Use CodeBuild to stage the artifacts within an S3 bucket in a separate testing account

B.Trigger a separate pipeline from CodeCommit feature branches Use AWS Lambda for running unit tests Use AWS CodeDeploy to stage the artifacts within an S3 bucket in a separate testing account

C.Create a separate CodeCommit repository for feature development and use it to trigger the pipeline Use AWS Lambda for running unit tests Use AWS CodeBuild to stage the artifacts within different S3 buckets in the same production account

D.Trigger a separate pipeline from CodeCommit tags Use Jenkins for running unit tests Create a stage in the pipeline with S3 as the target for staging the artifacts within an S3 bucket in a separate testing account.

SAP-C02 Exam Question 28

A company is planning to migrate an application from on premises to AWS. The application currently uses an Oracle database and the company can tolerate a brief downtime of 1 hour when performing the switch to the new infrastructure As part of the migration. the database engine will be changed to MySQL. A solutions architect needs to determine which AWS services can be used to perform the migration while minimizing the amount of work and time required.
Which of the following will meet the requirements?

A.Use AWS SCT to generate the schema scripts and apply them on the target prior to migration Use AWS DMS to analyse the current schema and provide a recommendation for the optimal database engine Then, use AWS DMS to migrate to the recommended engine Use AWS SCT to identify what embedded SQL code in the application can be converted and what has to be done manually

B.Use AWS DMS lo help identify the best target deployment between installing the database engine on Amazon EC2 directly or moving to Amazon RDS. Then, use AWS DMS to migrate to the platform. Use AWS Application Discovery Service to identify what embedded SQL code in the application can be converted and what has to be done manually.

C.Use AWS SCT to generate the schema scripts and apply them on the target prior to migration. Use AWS DMS to begin moving data from the on-premises database to AWS. After the initial copy continue to use AWS DMS to keep the databases m sync until cutting over to the new database Use AWS SCT to identify what embedded SOL code in the application can be converted and what has to be done manually.

D.Use AWS DMS to begin moving data from the on-premises database to AWS After the initial copy, continue to use AWS DMS to keep the databases in sync until cutting over to the new database use AWS Application Discovery Service to identify what embedded SQL code m the application can be convened and what has to be done manually

SAP-C02 Exam Question 29

A Solutions Architect is constructing a containerized.NET Core application for AWS Fargate. The application's backend needs a high-availability version of Microsoft SQL Server. All application levels must be extremely accessible. The credentials associated with the SQL Server connection string should not be saved to disk inside the.NET Core front-end containers.
Which tactics should the Solutions Architect use to achieve these objectives?

A.Set up SQL Server to run in Fargate with Service Auto Scaling. Create an Amazon ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to SQL Server running in Fargate. Specify the ARN of the secret in AWS Secrets Manager in the secrets section of the Fargate task definition so the sensitive data can be injected into the containers as environment variables on startup for reading into the application to construct the connection string. Set up the .NET Core service using Service Auto Scaling behind an Application Load Balancer in multiple Availability Zones.

B.Create a Multi-AZ deployment of SQL Server on Amazon RDS. Create a secret in AWS Secrets Manager for the credentials to the RDS database. Create an Amazon ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to the RDS database in Secrets Manager. Specify the ARN of the secret in Secrets Manager in the secrets section of the Fargate task definition so the sensitive data can be injected into the containers as environment variables on startup for reading into the application to construct the connection string. Set up the .NET Core service in Fargate using Service Auto Scaling behind an Application Load Balancer in multiple Availability Zones.

C.Create an Auto Scaling group to run SQL Server on Amazon EC2. Create a secret in AWS Secrets Manager for the credentials to SQL Server running on EC2. Create an Amazon ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to SQL Server on EC2. Specify the ARN of the secret in Secrets Manager in the secrets section of the Fargate task definition so the sensitive data can be injected into the containers as environment variables on startup for reading into the application to construct the connection string. Set up the .NET Core service using Service Auto Scaling behind an Application Load Balancer in multiple Availability Zones.

D.Create a Multi-AZ deployment of SQL Server on Amazon RDS. Create a secret in AWS Secrets Manager for the credentials to the RDS database. Create non- persistent empty storage for the .NET Core containers in the Fargate task definition to store the sensitive information. Create an Amazon ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to the RDS database in Secrets Manager. Specify the ARN of the secret in Secrets Manager in the secrets section of the Fargate task definition so the sensitive data can be written to the non-persistent empty storage on startup for reading into the application to construct the connection string. Set up the .NET Core service using Service Auto Scaling behind an Application Load Balancer in multiple Availability Zones.

SAP-C02 Exam Question 30

A fitness tracking company serves users around the world, with its primary markets in North America and Asi a. The company needs to design an infrastructure for its read-heavy user authorization application with the following requirements:
* Be resilient to problems with the application in any Region.
* Write to a database in a single Region.
* Read from multiple Regions.
* Support resiliency across application tiers in each Region.
* Support the relational database semantics reflected in the application.
Which combination of steps should a solutions architect take? (Select TWO.)

A.Use an Amazon Route 53 geoproximity routing policy combined with a multivalue answer routing policy.

B.Deploy web. application, and MySQL database servers to Amazon EC2 instances in each Region. Set up the application so that reads and writes are local to the Region. Create snapshots of the web, application, and database servers and store the snapshots in an Amazon S3 bucket in both Regions. Set up cross-Region replication for the database layer.

C.Use an Amazon Route 53 geolocation routing policy combined with a failover routing policy.

D.Set up web, application, and Amazon RDS for MySQL instances in each Region. Set up the application so that reads are local and writes are partitioned based on the user. Set up a Multi-AZ failover for the web, application, and database servers. Set up cross-Region replication for the database layer.

E.Set up active-active web and application servers in each Region. Deploy an Amazon Aurora global database with clusters in each Region. Set up the application to use the in-Region Aurora database endpoints. Create snapshots of the web and application servers and store them in an Amazon S3 bucket in both Regions.

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