A company is running a two-tier web-based application in an on-premises data center. The application user consists of a single server running a stateful application. The application connects to a PostgreSQL database running on a separate server. The application’s user base is expected to grow significantly, so the company is migrating the application and database to AWS. The solution will use Amazon Aurora PostgreSQL, Amazon EC2 Auto Scaling, and Elastic Load Balancing.
Which solution will provide a consistent user experience that will allow the application and database tiers to scale?

A. Enable Aurora Auto Scaling for Aurora Replicas. Use a Network Load Balancer with the least outstanding requests routing algorithm and sticky sessions enabled.
B. Enable Aurora Auto Scaling for Aurora writes. Use an Application Load Balancer with the round robin routing algorithm and sticky sessions enabled.
C. Enable Aurora Auto Scaling for Aurora Replicas. Use an Application Load Balancer with the robin routing and sickly sessions enabled.
D. Enable Aurora Scaling for Aurora writers. Use a Network Load Balancer with the least outstanding requests routing algorithm and sticky sessions enabled.

A solutions architect is migrating an existing workload to AWS Fargate. The task can only run in a private subnet within the VPC where there is no direct connectivity from outside the system to the application. When the Fargate task is launched, the task fails with the following error:
CannotPullContainerError: API error (500): Get https://111122223333.dkr.ecr.us-east1.amazonaws.com/v2/: net/http: request canceled while waiting for connection
How should the solutions architect correct this error?

A. Ensure the task is set to ENABLED for the auto-assign public IP setting when launching the task.
B. Ensure the task is set to DISABLED for the auto-assign public IP setting when launching the task. Configure a NAT gateway in the public subnet in the VPC to route requests to the internet.
C. Ensure the task is set to DISABLED for the auto-assign public IP setting when launching the task. Configure a NAT gateway in the private subnet in the VPC to route requests to the internet.
D. Ensure the network mode is set to bridge in the Fargate task definition.

A healthcare company runs a production workload on AWS that stores highly sensitive personal information. The security team mandates that, for auditing purposes, any AWS API action using AWS account root user credentials must automatically create a high-priority ticket in the company’s ticketing system. The ticketing system has a monthly 3-hour maintenance window when no tickets can be created.
To meet security requirements, the company enabled AWS CloudTrail logs and wrote a scheduled AWS Lambda function that uses Amazon Athena to query API actions performed by the root user. The Lambda function submits any actions found to the ticketing system API. During a recent security audit, the security team discovered that several tickets were not created because the ticketing system was unavailable due to planned maintenance.
Which combination of steps should a solutions architect take to ensure that the incidents are reported to the ticketing system even during planned maintenance? (Choose two.)

A. Create an Amazon SNS topic to which Amazon CloudWatch alarms will be published. Configure a CloudWatch alarm to invoke the Lambda function.
B. Create an Amazon SQS queue to which Amazon CloudWatch alarms will be published. Configure a CloudWatch alarm to publish to the SQS queue.
C. Modify the Lambda function to be triggered by messages published to an Amazon SNS topic. Update the existing application code to retry every 5 minutes if the ticketing system’s API endpoint is unavailable.
D. Modify the Lambda function to be triggered when there are messages in the Amazon SQS queue and to return successfully when the ticketing system API has processed the request.
E. Create an Amazon EventBridge rule that triggers on all API events where the invoking user identity is root. Configure the EventBridge rule to write the event to an Amazon SQS queue.

A company has a single AWS master billing account, which is the root of the AWS Organizations hierarchy.
The company has multiple AWS accounts within this hierarchy, all organized into organization units (OUs). More OUs and AWS accounts will continue to be created as other parts of the business migrate applications to AWS. These business units may need to use different AWS services. The Security team is implementing the following requirements for all current and future AWS accounts:

• Control policies must be applied across all accounts to prohibit AWS servers.
• Exceptions to the control policies are allowed based on valid use cases.

Which solution will meet these requirements with minimal optional overhead?

A. Use an SCP in Organizations to implement a deny list of AWS servers. Apply this SCP at the level. For any specific exceptions for an OU, create a new SCP for that OU and add the required AWS services to the allow list.
B. Use an SCP in Organizations to implement a deny list of AWS service. Apply this SCP at the root level and each OU. Remove the default AWS managed SCP from the root level and all OU levels. For any specific exceptions, modify the SCP attached to that OU, and add the required AWS services to the allow list.
C. Use an SCP in Organizations to implement a deny list of AWS service. Apply this SCP at each OU level. Leave the default AWS managed SCP at the root level. For any specific executions for an OU, create a new SCP for that OU.
D. Use an SCP in Organizations to implement an allow list of AWS services. Apply this SCP at the root level. Remove the default AWS managed SCP from the root level and all OU levels. For any specific exceptions for an OU, modify the SCP attached to that OU, and add the required AWS services to the allow list.

A company standardized its method of deploying applications to AWS using AWS CodePipeline and AWS Cloud Formation. The applications are in TypeScript and Python. The company has recently acquired another business that deploys applications to AWS using Python scripts.
Developers from the newly acquired company are hesitant to move their applications under Cloud Formation because it would require that they learn a new domain-specific language and eliminate their access to language features, such as looping.
How can the acquired applications quickly be brought up to deployment standards while addressing the developers’ concerns?

A. Create Cloud Formation templates and re-use parts of the Python scripts as Instance user data. Use the AWS Cloud Development Kit (AWS CDK) to deploy the application using these templates. Incorporate the AWS CDK into CodePipeline and deploy the application to AWS using these templates.
B. Use a third-party resource provisioning engine inside AWS CodeBuild to standardize the deployment processes of the existing and acquired company. Orchestrate the CodeBuild job using CodePipeline.
C. Standardize on AWS OpsWorks. Integrate OpsWorks with CodePipeline. Have the developers create Chef recipes to deploy their applications on AWS.
D. Define the AWS resources using TypeScript or Python. Use the AWS Cloud Development Kit (AWS CDK) to create CloudFormation templates from the developers’ code, and use the AWS CDK to create CloudFormation stacks. Incorporate the AWS CDK as a CodeBuild job in CodePipeline.

A North American company with headquarters on the East Coast is deploying a new web application running on Amazon EC2 in the us-east-1 Region. The application should dynamically scale to meet user demand and maintain resiliency. Additionally, the application must have disaster recover capabilities in an active-passive configuration with the us-west-1 Region.
Which steps should a solutions architect take after creating a VPC in the us-east-1 Region?

A. Create a VPC in the us-west-1 Region. Use inter-Region VPC peering to connect both VPCs. Deploy an Application Load Balancer (ALB) spanning multiple Availability Zones (AZs) to the VPC in the us-east-1 Region. Deploy EC2 instances across multiple AZs in each Region as part of an Auto Scaling group spanning both VPCs and served by the ALB.
B. Deploy an Application Load Balancer (ALB) spanning multiple Availability Zones (AZs) to the VPC in the us-east-1 Region. Deploy EC2 instances across multiple AZs as part of an Auto Scaling group served by the ALB. Deploy the same solution to the us-west-1 Region. Create an Amazon Route 53 record set with a failover routing policy and health checks enabled to provide high availability across both Regions.
C. Create a VPC in the us-west-1 Region. Use inter-Region VPC peering to connect both VPCs. Deploy an Application Load Balancer (ALB) that spans both VPCs. Deploy EC2 instances across multiple Availability Zones as part of an Auto Scaling group in each VPC served by the ALB. Create an Amazon Route 53 record that points to the ALB.
D. Deploy an Application Load Balancer (ALB) spanning multiple Availability Zones (AZs) to the VPC in the us-east-1 Region. Deploy EC2 instances across multiple AZs as part of an Auto Scaling group served by the ALB. Deploy the same solution to the us-west-1 Region. Create separate Amazon Route 53 records in each Region that point to the ALB in the Region. Use Route 53 health checks to provide high availability across both Regions.

A financial company is using a high-performance compute cluster running on Amazon EC2 instances to perform market simulations. A DNS record must be created in an Amazon Route 53 private hosted zone when instances start. The DNS record must be removed after instances are terminated.
Currently the company uses a combination of Amazon CloudWatch Events and AWS Lambda to create the DNS record. The solution worked well in testing with small clusters, but in production with clusters containing thousands of instances the company sees the following error in the Lambda logs:
HTTP 400 error (Bad request).
The response header also includes a status code element with a value of “Throttling” and a status message element with a value of “Rate exceeded”.
Which combination of steps should the Solutions Architect take to resolve these issues? (Choose three.)

A. Configure an Amazon SOS FIFO queue and configure a CloudWatch Events rule to use this queue as a target. Remove the Lambda target from the CloudWatch Events rule.
B. Configure an Amazon Kinesis data stream and configure a CloudWatch Events rule to use this queue as a target. Remove the Lambda target from the CloudWatch Events rule.
C. Update the CloudWatch Events rule to trigger on Amazon EC2 “Instance Launch Successful” and “Instance Terminate Successful” events for the Auto Scaling group used by the cluster.
D. Configure a Lambda function to retrieve messages from an Amazon SQS queue. Modify the Lambda function to retrieve a maximum of 10 messages then batch the messages by Amazon Route 53 API call type and submit. Delete the messages from the SQS queue after successful API calls.
E. Configure an Amazon SQS standard queue and configure the existing CloudWatch Events rule to use this queue as a target. Remove the Lambda target from the CloudWatch Events rule.
F. Configure a Lambda function to read data from the Amazon Kinesis data stream and configure the batch window to 5 minutes. Modify the function to make a single API call to Amazon Route 53 with all records read from the kinesis data stream.

A company needs to create a centralized logging architecture for all of its AWS accounts. The architecture should provide near-real-time data analysis for all AWS CloudTrail logs and VPC Flow Logs across all AWS accounts. The company plans to use Amazon Elasticsearch Service (Amazon ES) to perform log analysis in the logging account.
Which strategy a solutions architect use to meet these requirements?

A. Configure CloudTrail and VPC Flow Logs in each AWS account to send data to a centralized Amazon S3 bucket in the logging account. Create and AWS Lambda function to load data from the S3 bucket to Amazon ES in the logging account.
B. Configure CloudTrail and VPC Flow Logs to send data to a log group in Amazon CloudWatch account. Configure a CloudWatch subscription filter in each AWS account to send data to Amazon Kinesis Data Firehouse in the logging account. Load data from Kinesis Data Firehouse into Amazon ES in the logging account.
C. Configure CloudTrail and VPC Flow Logs to send data to a separate Amazon S3 bucket in each AWS account. Create an AWS Lambda function triggered by S3 events to copy the data to a centralized logging bucket. Create another Lambda function to load data from the S3 bucket to Amazon ES in the logging account.
D. Configure CloudTrail and VPC Flow Logs to send data to a log group in Amazon CloudWatch Logs in each AWS account. Create AWS Lambda functions in each AWS accounts to subscribe to the log groups and stream the data to an Amazon S3 bucket in the logging account. Create another Lambda function to load data from the S3 bucket to Amazon ES in the logging account.

A fitness tracking company serves users around the world, with its primary markets in North America and Asia. The company needs to design an infrastructure for its read-heavy user authorization application with the following requirements:

• Be resilient to problem 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? (Choose 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 instance 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 application servers and store them in an Amazon S3 bucket in both Regions.

A financial services company has an on-premises environment that ingests market data feeds from stock exchanges, transforms the data, and sends the data to an internal Apache Kafka cluster. Management wants to leverage AWS services to build a scalable and near-real-time solution with consistent network performance to provide stock market data to a web application.
Which steps should a solutions architect take to build the solution? (Choose three.)

A. Establish an AWS Direct Connect connection from the on-premises data center to AWS.
B. Create an Amazon EC2 Auto Scaling group to pull the messages from the on-premises Kafka cluster and use the Amazon Consumer Library to put the data into an Amazon Kinesis data stream.
C. Create an Amazon EC2 Auto Scaling group to pull the messages from the on-premises Kafka cluster and use the Amazon Kinesis Producer Library to put the data into a Kinesis data stream.
D. Create a WebSocket API in Amazon API Gateway, create an AWS Lambda function to process an Amazon Kinesis data stream, and use the @connections command to send callback messages to connected clients.
E. Create a GraphQL API in AWS AppSync, create an AWS Lambda function to process the Amazon Kinesis data stream, and use the @connections command to send callback messages to connected clients.
F. Establish a Site-to-Site VPN from the on-premises data center to AWS.