A financial company needs to create a separate AWS account for a new digital wallet application. The company uses AWS Organizations to manage its accounts. A solutions architect uses the IAM user Support1 from the master account to create a new member account with finance1@example.com as the email address.
What should the solutions architect do to create IAM users in the new member account?

A. Sign in to the AWS Management Console with AWS account root user credentials by using the 64-character password from the initial AWS Organizations email sent to finance1@example.com. Set up the IAM users as required.
B. From the master account, switch roles to assume the OrganizationAccountAccessRole role with the account ID of the new member account. Set up the IAM users as required.
C. Go to the AWS Management Console sign-in page. Choose “Sign in using root account credentials.” Sign in by using the email address finance1@example.com and the master account’s root password. Set up the IAM users as required.
D. Go to the AWS Management Console sign-in page. Sign in by using the account ID of the new member account and the Support1 IAM credentials. Set up the IAM users as required.

A company is configuring connectivity to a multi-account AWS environment to support application workloads that serve users in a single geographic region. The workloads depend on a highly available, on-premises legacy system deployed across two locations. It is critical for the AWS workloads to maintain connectivity to the legacy system, and a minimum of 5 Gbps of bandwidth is required. All application workloads within AWS must have connectivity with one another.
Which solution will meet these requirements?

A. Configure multiple AWS Direct Connect (DX) 10 Gbps dedicated connections from a DX partner for each on–premises location. Create private virtual interfaces on each connection for each AWS account VPC. Associate the private virtual interface with a virtual private gateway attached to each VPC.
B. Configure multiple AWS Direct Connect (DX) 10 Gbps dedicated connections from two DX partners for each on-premises location. Create and attach a virtual private gateway for each AWS account VPC. Create a DX gateway in a central network account and associate it with the virtual private gateways. Create a public virtual interface on each DX connection and associate the interface with the DX gateway.
C. Configure multiple AWS Direct Connect (DX) 10 Gbps dedicated connections from two DX partners for each on-premises location. Create a transit gateway and a DX gateway in a central network account. Create a transit virtual interface for each DX interface and associate them with the DX gateway. Create a gateway association between the DX gateway and the transit gateway.
D. Configure multiple AWS Direct Connect (DX) 10 Gbps dedicated connections from a DX partner for each on-premises location. Create and attach a virtual private gateway for each AWS account VPC. Create a transit gateway in a central network account and associate it with the virtual private gateways. Create a transit virtual interface on each DX connection and attach the interface to the transit gateway.

A company wants to change its internal cloud billing strategy for each of its business units. Currently, the cloud governance team shares reports for overall cloud spending with the head of each business unit. The company uses AWS Organizations to manage the separate AWS accounts for each business unit. The existing tagging standard in Organizations includes the application, environment, and owner. The cloud governance team wants a centralized solution so each business unit receives monthly reports on its cloud spending. The solution should also send notifications for any cloud spending that exceeds a set threshold.
Which solution is the MOST cost-effective way to meet these requirements?

A. Configure AWS Budgets in each account and configure budget alerts that are grouped by application, environment, and owner. Add each business unit to an Amazon SNS topic for each alert. Use Cost Explorer in each account to create monthly reports for each business unit.
B. Configure AWS Budgets in the organization’s master account and configure budget alerts that are grouped by application, environment, and owner. Add each business unit to an Amazon SNS topic for each alert. Use Cost Explorer in the organization’s master account to create monthly reports for each business unit.
C. Configure AWS Budgets in each account and configure budget alerts that are grouped by application, environment, and owner. Add each business unit to an Amazon SNS topic for each alert. Use the AWS Billing and Cost Management dashboard in each account to create monthly reports for each business unit.
D. Enable AWS Cost and Usage Reports in the organization’s master account and configure reports grouped by application, environment, and owner. Create an AWS Lambda function that processes AWS Cost and Usage Reports, sends budget alerts, and sends monthly reports to each business unit’s email list.

A company’s AWS architecture currently uses access keys and secret access keys stored on each instance to access AWS services. Database credentials are hard-coded on each instance. SSH keys for command-line remote access are stored in a secured Amazon S3 bucket. The company has asked its solutions architect to improve the security posture of the architecture without adding operational complexity.
Which combination of steps should the solutions architect take to accomplish this? (Choose three.)

A. Use Amazon EC2 instance profiles with an IAM role
B. Use AWS Secrets Manager to store access keys and secret access keys
C. Use AWS Systems Manager Parameter Store to store database credentials
D. Use a secure fleet of Amazon EC2 bastion hosts for remote access
E. Use AWS KMS to store database credentials
F. Use AWS Systems Manager Session Manager for remote access

A company is using Amazon Aurora MySQL for a customer relationship management (CRM) application. The application requires frequent maintenance on the database and the Amazon EC2 instances on which the application runs. For AWS Management Console access, the system administrators authenticate against AWS Identity and Access Management (IAM) using an internal identity provider. For database access, each system administrator has a user name and password that have previously been configured within the database.
A recent security audit revealed that the database passwords are not frequently rotated. The company wants to replace the passwords with temporary credentials using the company’s existing AWS access controls.
Which set of options will meet the company’s requirements?

A. Create a new AWS Systems Manager Parameter Store entry for each database password. Enable parameter expiration to invoke an AWS Lambda function to perform password rotation by updating the parameter value. Create an IAM policy allowing each system administrator to retrieve their current password from the Parameter Store. Use the AWS CLI to retrieve credentials when connecting to the database.
B. Create a new AWS Secrets Manager entry for each database password. Configure password rotation for each secret using an AWS Lambda function in the same VPC as the database cluster. Create an IAM policy allowing each system administrator to retrieve their current password. Use the AWS CLI to retrieve credentials when connecting to the database.
C. Enable IAM database authentication on the database. Attach an IAM policy to each system administrator’s role to map the role to the database user name. Install the Amazon Aurora SSL certificate bundle to the system administrators’ certificate trust store. Use the AWS CLI to generate an authentication token used when connecting to the database.
D. Enable IAM database authentication on the database. Configure the database to use the IAM identity provider to map the administrator roles to the database user. Install the Amazon Aurora SSL certificate bundle to the system administrators’ certificate trust store. Use the AWS CLI to generate an authentication token used when connecting to the database.

A company wants to migrate its corporate data center from on premises to the AWS Cloud. The data center includes physical servers and VMs that use VMware and Hyper-V. An administrator needs to select the correct services to collect data for the initial migration discovery process. The data format should be supported by AWS Migration Hub. The company also needs the ability to generate reports from the data.
Which solution meets these requirements?

A. Use the AWS Agentless Discovery Connector for data collection on physical servers and all VMs. Store the collected data in Amazon S3. Query the data with S3 Select. Generate reports by using Kibana hosted on Amazon EC2.
B. Use the AWS Application Discovery Service agent for data collection on physical servers and all VMs. Store the collected data in Amazon Elastic File System (Amazon EFS). Query the data and generate reports with Amazon Athena.
C. Use the AWS Application Discovery Service agent for data collection on physical servers and Hyper-V. Use the AWS Agentless Discovery Connector for data collection on VMware. Store the collected data in Amazon S3. Query the data with Amazon Athena. Generate reports by using Amazon QuickSight.
D. Use the AWS Systems Manager agent for data collection on physical servers. Use the AWS Agentless Discovery Connector for data collection on all VMs. Store, query, and generate reports from the collected data by using Amazon Redshift.

A company has a three-tier application running on AWS with a web server, an application server, and an Amazon RDS MySQL DB instance. A solutions architect is designing a disaster recovery (DR) solution with an RPO of 5 minutes.
Which solution will meet the company’s requirements?

A. Configure AWS Backup to perform cross-Region backups of all servers every 5 minutes. Reprovision the three tiers in the DR Region from the backups using AWS CloudFormation in the event of a disaster.
B. Maintain another running copy of the web and application server stack in the DR Region using AWS CloudFormation drift detection. Configure cross-Region snapshots of the DB instance to the DR Region every 5 minutes. In the event of a disaster, restore the DB instance using the snapshot in the DR Region.
C. Use Amazon EC2 Image Builder to create and copy AMIs of the web and application server to both the primary and DR Regions. Create a cross-Region read replica of the DB instance in the DR Region. In the event of a disaster, promote the read replica to become the master and reprovision the servers with AWS CloudFormation using the AMIs.
D. Create AMIs of the web and application servers in the DR Region. Use scheduled AWS Glue jobs to synchronize the DB instance with another DB instance in the DR Region. In the event of a disaster, switch to the DB instance in the DR Region and reprovision the servers with AWS CloudFormation using the AMIs.

A security engineer determined that an existing application retrieves credentials to an Amazon RDS for MySQL database from an encrypted file in Amazon S3. For the next version of the application, the security engineer wants to implement the following application design changes to improve security:

• The database must use strong, randomly generated passwords stored in a secure AWS managed service.
• The application resources must be deployed through AWS CloudFormation.
• The application must rotate credentials for the database every 90 days.

A solutions architect will generate a CloudFormation template to deploy the application.
Which resources specified in the CloudFormation template will meet the security engineer’s requirements with the LEAST amount of operational overhead?

A. Generate the database password as a secret resource using AWS Secrets Manager. Create an AWS Lambda function resource to rotate the database password. Specify a Secrets Manager RotationSchedule resource to rotate the database password every 90 days.
B. Generate the database password as a SecureString parameter type using AWS Systems Manager Parameter Store. Create an AWS Lambda function resource to rotate the database password. Specify a Parameter Store RotationSchedule resource to rotate the database password every 90 days.
C. Generate the database password as a secret resource using AWS Secrets Manager. Create an AWS Lambda function resource to rotate the database password. Create an Amazon EventBridge scheduled rule resource to trigger the Lambda function password rotation every 90 days.
D. Generate the database password as a SecureString parameter type using AWS Systems Manager Parameter Store. Specify an AWS AppSync DataSource resource to automatically rotate the database password every 90 days.

A company has five physical data centers in specific locations around the world. Each data center has hundreds of physical servers with a mix of Windows and Linux-based applications and database services. Each data center also has an AWS Direct Connect connection of 10 Gbps to AWS with a company-approved VPN solution to ensure that data transfer is secure. The company needs to shut down the existing data centers as quickly as possible and migrate the servers and applications to AWS.
Which solution meets these requirements?

A. Install the AWS Server Migration Service (AWS SMS) connector onto each physical machine. Use the AWS Management Console to select the servers from the server catalog, and start the replication. Once the replication is complete, launch the Amazon EC2 instances created by the service.
B. Install the AWS DataSync agent onto each physical machine. Use the AWS Management Console to configure the destination to be an AMI, and start the replication. Once the replication is complete, launch the Amazon EC2 instances created by the service.
C. Install the CloudEndure Migration agent onto each physical machine. Create a migration blueprint, and start the replication. Once the replication is complete, launch the Amazon EC2 instances in cutover mode.
D. Install the AWS Application Discovery Service agent onto each physical machine. Use the AWS Migration Hub import option to start the replication. Once the replication is complete, launch the Amazon EC2 instances created by the service.

A life sciences company is using a combination of open source tools to manage data analysis workflows and Docker containers running on servers in its on-premises data center to process genomics data. Sequencing data is generated and stored on a local storage area network (SAN), and then the data is processed. The research and development teams are running into capacity issues and have decided to re-architect their genomics analysis platform on AWS to scale based on workload demands and reduce the turnaround time from weeks to days.
The company has a high-speed AWS Direct Connect connection. Sequencers will generate around 200 GB of data for each genome, and individual jobs can take several hours to process the data with ideal compute capacity. The end result will be stored in Amazon S3. The company is expecting 10-15 job requests each day.
Which solution meets these requirements?

A. Use regularly scheduled AWS Snowball Edge devices to transfer the sequencing data into AWS. When AWS receives the Snowball Edge device and the data is loaded into Amazon S3, use S3 events to trigger an AWS Lambda function to process the data.
B. Use AWS Data Pipeline to transfer the sequencing data to Amazon S3. Use S3 events to trigger an Amazon EC2 Auto Scaling group to launch custom-AMI EC2 instances running the Docker containers to process the data.
C. Use AWS DataSync to transfer the sequencing data to Amazon S3. Use S3 events to trigger an AWS Lambda function that starts an AWS Step Functions workflow. Store the Docker images in Amazon Elastic Container Registry (Amazon ECR) and trigger AWS Batch to run the container and process the sequencing data.
D. Use an AWS Storage Gateway file gateway to transfer the sequencing data to Amazon S3. Use S3 events to trigger an AWS Batch job that executes on Amazon EC2 instances running the Docker containers to process the data.