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AWS Certified Solutions Architect - Professional Questions and Answers

Question 141

A company has a serverless application comprised of Amazon CloudFront, Amazon API Gateway, and AWS Lambda functions. The current deployment process of the application code is to create a new version number of the Lambda function and run an AWS CLI script to update. If the new function version has errors, another CLI script reverts by deploying the previous working version of the function. The company would like to decrease the time to deploy new versions of the application logic provided by the Lambda functions, and also reduce the time to detect and revert when errors are identified.

How can this be accomplished?

Options:

A.

Create and deploy nested AWS CloudFormation stacks with the parent stack consisting of the AWS CloudFront distribution and API Gateway, and the child stack containing the Lambda function. For changes to Lambda, create an AWS CloudFormation change set and deploy; if errors are triggered, revert the AWS CloudFormation change set to the previous version.

B.

Use AWS SAM and built-in AWS CodeDeploy to deploy the new Lambda version, gradually shift traffic to the new version, and use pre-traffic and post-traffic test functions to verify code. Rollback if Amazon CloudWatch alarms are triggered.

C.

Refactor the AWS CLI scripts into a single script that deploys the new Lambda version. When deployment is completed, the script tests execute. If errors are detected, revert to the previous Lambda version.

D.

Create and deploy an AWS CloudFormation stack that consists of a new API Gateway endpoint that references the new Lambda version. Change the CloudFront origin to the new API Gateway endpoint, monitor errors and if detected, change the AWS CloudFront origin to the previous API Gateway endpoint.

Question 142

A company recently deployed an application on AWS. The application uses Amazon DynamoDB.The company measured the application load and configured the RCUs and WCUs on the DynamoDB table to match the expected peak load. The peak load occurs once a week for a 4-hour period and is double the average load. The application load is close to the average load tor the rest of the week. The access pattern includes many more writes to the table than reads of the table.

A solutions architect needs to implement a solution to minimize the cost of the table.

Which solution will meet these requirements?

Options:

A.

Use AWS Application Auto Scaling to increase capacity during the peak period. Purchase reserved RCUs and WCUs to match the average load.

B.

Configure on-demand capacity mode for the table.

C.

Configure DynamoDB Accelerator (DAX) in front of the table. Reduce the provisioned read capacity to match the new peak load on the table.

D.

Configure DynamoDB Accelerator (DAX) in front of the table. Configure on-demand capacity mode for the table.

Question 143

An application is using an Amazon RDS for MySQL Multi-AZ DB instance in the us-east-1 Region. After a failover test, the application lost the connections to the database and could not re-establish the connections. After a restart of the application, the application re-established the connections.

A solutions architect must implement a solution so that the application can re-establish connections to the database without requiring a restart.

Which solution will meet these requirements?

Options:

A.

Create an Amazon Aurora MySQL Serverless v1 DB instance. Migrate the RDS DB instance to the Aurora Serverless v1 DB instance. Update the connection settings in the application to point to the Aurora reader endpoint.

B.

Create an RDS proxy. Configure the existing RDS endpoint as a target. Update the connection settings in the application to point to the RDS proxy endpoint.

C.

Create a two-node Amazon Aurora MySQL DB cluster. Migrate the RDS DB instance to the Aurora DB cluster. Create an RDS proxy. Configure the existing RDS endpoint as a target. Update the connection settings in the application to point to the RDS proxy endpoint.

D.

Create an Amazon S3 bucket. Export the database to Amazon S3 by using AWS Database Migration Service (AWS DMS). Configure Amazon Athena to use the S3 bucket as a data store. Install the latest Open Database Connectivity (ODBC) driver for the application. Update the connection settings in the application to point to the Athena endpoint

Question 144

A company has separate AWS accounts for each of its departments. The accounts are in OUs that are in an organization in AWS Organizations. The IT department manages a private certificate authority (CA) by using AWS Private Certificate Authority in its account.

The company needs a solution to allow developer teams in the other departmental accounts to access the private CA to issue certificates for their applications. The solution must maintain appropriate security boundaries between accounts.

Which solution will meet these requirements?

Options:

A.

Create an AWS Lambda function in the IT account. Program the Lambda function to use the AWS Private CA API to export and import a private CA certificate to each department account. Use Amazon EventBridge to invoke the Lambda function on a schedule.

B.

Create an IAM identity-based policy that allows cross-account access to AWS Private CA. In the IT account, attach this policy to the private CA. Grant access to AWS Private CA by using the AWS Private CA API.

C.

In the organization's management account, create an AWS CloudFormation stack to set up a resource-based delegation policy.

D.

Use AWS Resource Access Manager (AWS RAM) in the IT account to enable sharing in the organization. Create a resource share. Add the private CA resource to the resource share. Grant the department OUs access to the shared CA.

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