Online Access Free AWS-Solutions-Architect-Professional Practice Test

A company hosts a VPN in an on-premises data center. Employees currently connect to the VPN to access files in their Windows home directories. Recently, there has been a large growth in the number of employees who work remotely. As a result, bandwidth usage for connections into the data center has begun to reach
100% during business hours.
The company must design a solution on AWS that will support the growth of the company's remote workforce, reduce the bandwidth usage for connections into the data center, and reduce operational overhead.
Which combination of steps will meet these requirements with the LEAST operational overhead? (Select TWO.)

• A.Create an AWS Direct Connect connection from the on-premises data center to AWS.
• B.Migrate remote users to AWS Client VPN
• C.Migrate the home directories to Amazon FSx for Windows File Server.
• D.Migrate the home directories to Amazon FSx for Lustre.
• E.Create an AWS Storage Gateway Volume Gateway. Mount a volume from the Volume Gateway to the on-premises file server.

A company built an application based on AWS Lambda deployed in an AWS CloudFormation stack. The last production release of the web application introduced an issue that resulted in an outage lasting several minutes.
A solutions architect must adjust the deployment process to support a canary release.
Which solution will meet these requirements?

• A.Create an alias for every new deployed version of the Lambda function. Use the AWS CLI update-alias command with the routing-config parameter to distribute the load.
• B.Create a version for every new deployed Lambda function. Use the AWS CLI update-function-configuration command with the routing-config parameter to distribute the load.
• C.Deploy the application into a new CloudFormation stack. Use an Amazon Route 53 weighted routing policy to distribute the load.
• D.Configure AWS CodeDeploy and use CodeDeployDefault.OneAtATime in the Deployment configuration to distribute the load.

A solutions architect needs to migrate an on-premises legacy application to AWS. The application runs on two servers behind a bad balancer. The application requires a license file that is associated with the MAC address of the server's network adapter. It takes the software vendor 12 hours to send new license files. The application also uses configuration files with a static IP address to access a database host names are not supported.
Given these requirements. which combination of steps should be taken to implement highly available architecture for the application servers in AWS? (Select TWO.)

• A.Edit an Amazon EC2 instance to include the database server IP address in the configuration files and re-create the AMI to use for all future EC2 instances.
• B.Create a pool of ENIs. Request license files from the vendor for the pool, and store the license files in Amazon $3. Create a bootstrap automation script to download a license file and attach the corresponding ENI to an Amazon EC2 instance.
• C.Create a bootstrap automation script to request a new license file from the vendor. When the response is received, apply the license file to an Amazon EC2 instance.
• D.Edit the bootstrap automation script to read the database server IP address from the AWS Systems Manager Parameter Store. and inject the value into the local configuration files.
• E.Create a pool of ENIs. Request license files from the vendor for the pool, store the license files on an Amazon EC2 instance. Create an AMI from the instance and use this AMI for all future EC2

A financial services company receives a regular data feed from its credit card servicing partner Approximately
5.000 records are sent every 15 minutes in plaintext, delivered over HTTPS directly into an Amazon S3 bucket with server-side encryption. This feed contains sensitive credit card primary account number (PAN) data The company needs to automatically mask the PAN before sending the data to another S3 bucket for additional internal processing. The company also needs to remove and merge specific fields, and then transform the record into JSON format Additionally, extra feeds are likely to be added in the future, so any design needs to be easily expandable.
Which solutions will meet these requirements?

• A.Trigger an AWS Lambda function on file delivery that extracts each record and writes it to an Amazon SQS queue. Trigger another Lambda function when new messages arrive in the SQS queue to process the records, writing the results to a temporary location in Amazon S3. Trigger a final Lambda function once the SQS queue is empty to transform the records into JSON format and send the results to another S3 bucket for internal processing.
• B.Create an AWS Glue crawler and custom classifier based on the data feed formats and build a table definition to match. Trigger an AWS Lambda function on file delivery to start an AWS Glue ETL job to transform the entire record according to the processing and transformation requirements. Define the output format as JSON. Once complete, have the ETL job send the results to another S3 bucket for internal processing.
• C.Trigger an AWS Lambda function on file delivery that extracts each record and writes it to an Amazon SQS queue. Configure an AWS Fargate container application to automatically scale to a single instance when the SQS queue contains messages. Have the application process each record, and transform the record into JSON format. When the queue is empty, send the results to another S3 bucket for internal processing and scale down the AWS Fargate instance.
• D.Create an AWS Glue crawler and custom classifier based upon the data feed formats and build a table definition to match. Perform an Amazon Athena query on file delivery to start an Amazon EMR ETL job to transform the entire record according to the processing and transformation requirements. Define the output format as JSON. Once complete, send the results to another S3 bucket for internal processing and scale down the EMR cluster.

A company is providing weather data over a REST-based API to several customers. The API is hosted by Amazon API Gateway and is integrated with different AWS Lambda functions for each API operation. The company uses Amazon Route 53 for DNS and has created a resource record of weather.example.com. The company stores data for the API in Amazon DynamoDB tables. The company needs a solution that will give the API the ability to fail over to a different AWS Region.
Which solution will meet these requirements?

• A.Deploy a new API Gateway API and Lambda functions in another Region. Change the Route 53 DNS record to a failover record. Enable target health monitoring. Convert the DynamoDB tables to global tables.
• B.Deploy a new API Gateway API in a new Region. Change the Lambda functions to global functions.
  Change the Route 53 DNS record to a multivalue answer. Add both API Gateway APIs to the answer.
  Enable target health monitoring. Convert the DynamoDB tables to global tables.
• C.Deploy a new set of Lambda functions in a new Region. Update the API Gateway API to use an edge-optimized API endpoint with Lambda functions from both Regions as targets. Convert the DynamoDB tables to global tables.
• D.Deploy a new API Gateway API and Lambda functions in another Region. Change the Route 53 DNS record to a multivalue answer. Add both API Gateway APIs to the answer. Enable target health monitoring. Convert the DynamoDB tables to global tables.