An online gaming company hosts its platform on Amazon EC2 instances behind Network Load Balancers (NLBs) across multiple AWS Regions. The NLBs can route requests to targets over the internet. The company wants to improve the customer playing experience by reducing end-to-end load time for its global customer base.
Which solution will meet these requirements?
A. Create Application Load Balancers (ALBs) in each Region to replace the existing NLBs. Register the existing EC2 instances as targets for the ALBs in each Region.
B. Configure Amazon Route 53 to route equally weighted traffic to the NLBs in each Region.
C. Create additional NLBs and EC2 instances in other Regions where the company has large customer bases.
D. Create a standard accelerator in AWS Global Accelerator. Configure the existing NLBs as target endpoints.
A company runs a container application on a Kubernetes cluster in the company's data center. The application uses Advanced Message Queuing Protocol (AMQP) to communicate with a message queue. The data center cannot scale fast enough to meet the company's expanding business needs. The company wants to migrate the workloads to AWS.
Which solution will meet these requirements with the LEAST operational overhead?
A. Migrate the container application to Amazon Elastic Container Service (Amazon ECS). Use Amazon Simple Queue Service (Amazon SQS) to retrieve the messages.
B. Migrate the container application to Amazon Elastic Kubernetes Service (Amazon EKS). Use Amazon MQ to retrieve the messages.
C. Use highly available Amazon EC2 instances to run the application. Use Amazon MQ to retrieve the messages.
D. Use AWS Lambda functions to run the application. Use Amazon Simple Queue Service (Amazon SQS) to retrieve the messages.
A solutions architect runs a web application on multiple Amazon EC2 instances that are in individual target groups behind an Application Load Balancer (ALB). Users can reach the application through a public website.
The solutions architect wants to allow engineers to use a development version of the website to access one specific development EC2 instance to test new features for the application. The solutions architect wants to use an Amazon Route 53
hosted zone to give the engineers access to the development instance. The solution must automatically route to the development instance even if the development instance is replaced.
Which solution will meet these requirements?
A. Create an A Record for the development website that has the value set to the ALB. Create a listener rule on the ALB that forwards requests for the development website to the target group that contains the development instance.
B. Recreate the development instance with a public IP address. Create an A Record for the development website that has the value set to the public IP address of the development instance.
C. Create an A Record for the development website that has the value set to the ALB. Create a listener rule on the ALB to redirect requests for the development website to the public IP address of the development instance.
D. Place all the instances in the same target group. Create an A Record for the development website. Set the value to the ALB. Create a listener rule on the ALB that forwards requests for the development website to the target group.
A company hosts a data lake on Amazon S3. The data lake ingests data in Apache Parquet format from various data sources. The company uses multiple transformation steps to prepare the ingested data. The steps include filtering of anomalies, normalizing of data to standard date and time values, and generation of aggregates for analyses.
The company must store the transformed data in S3 buckets that data analysts access. The company needs a prebuilt solution for data transformation that does not require code. The solution must provide data lineage and data profiling. The company needs to share the data transformation steps with employees throughout the company.
Which solution will meet these requirements?
A. Configure an AWS Glue Studio visual canvas to transform the data. Share the transformation steps with employees by using AWS Glue jobs.
B. Configure Amazon EMR Serverless to transform the data. Share the transformation steps with employees by using EMR Serverless jobs.
C. Configure AWS Glue DataBrew to transform the data. Share the transformation steps with employees by using DataBrew recipes.
D. Create Amazon Athena tables for the data. Write Athena SQL queries to transform the data. Share the Athena SQL queries with employees.
A company wants to set up Amazon Managed Grafana as its visualization tool. The company wants to visualize data from its Amazon RDS database as one data source. The company needs a secure solution that will not expose the data over the internet.
Which solution will meet these requirements?
A. Create an Amazon Managed Grafana workspace without a VPC. Create a public endpoint for the RDS database. Configure the public endpoint as a data source in Amazon Managed Grafana.
B. Create an Amazon Managed Grafana workspace in a VPC. Create a private endpoint for the RDS database. Configure the private endpoint as a data source in Amazon Managed Grafana.
C. Create an Amazon Managed Grafana workspace without a VPCreate an AWS PrivateLink endpoint to establish a connection between Amazon Managed Grafana and Amazon RDS. Set up Amazon RDS as a data source in Amazon Managed Grafana.
D. Create an Amazon Managed Grafana workspace in a VPC. Create a public endpoint for the RDS database. Configure the public endpoint as a data source in Amazon Managed Grafana.
A company has an application that runs on a single Amazon EC2 instance. The application uses a MySQL database that runs on the same EC2 instance. The company needs a highly available and automatically scalable solution to handle increased traffic.
Which solution will meet these requirements?
A. Deploy the application to EC2 instances that run in an Auto Scaling group behind an Application Load Balancer. Create an Amazon Redshift cluster that has multiple MySQL-compatible nodes.
B. Deploy the application to EC2 instances that are configured as a target group behind an Application Load Balancer. Create an Amazon RDS for MySQL cluster that has multiple instances.
C. Deploy the application to EC2 instances that run in an Auto Scaling group behind an Application Load Balancer. Create an Amazon Aurora Serverless MySQL cluster for the database layer.
D. Deploy the application to EC2 instances that are configured as a target group behind an Application Load Balancer. Create an Amazon ElastiCache for Redis cluster that uses the MySQL connector.
A robotics company is designing a solution for medical surgery. The robots will use advanced sensors, cameras, and AI algorithms to perceive their environment and to complete surgeries.
The company needs a public load balancer in the AWS Cloud that will ensure seamless communication with backend services. The load balancer must be capable of routing traffic based on the query strings to different target groups. The
traffic must also be encrypted.
Which solution will meet these requirements?
A. Use a Network Load Balancer with a certificate attached from AWS Certificate Manager (ACM). Use query parameter-based routing.
B. Use a Gateway Load Balancer. Import a generated certificate in AWS Identity and Access Management (IAM). Attach the certificate to the load balancer. Use HTTP path-based routing.
C. Use an Application Load Balancer with a certificate attached from AWS Certificate Manager (ACM). Use query parameter-based routing.
D. Use a Network Load Balancer. Import a generated certificate in AWS Identity and Access Management (IAM). Attach the certificate to the load balancer. Use query parameter-based routing.
A company recently migrated its application to AWS. The application runs on Amazon EC2 Linux instances in an Auto Scaling group across multiple Availability Zones. The application stores data in an Amazon Elastic File System (Amazon
EFS) file system that uses EFS Standard-Infrequent Access storage. The application indexes the company's files. The index is stored in an Amazon RDS database.
The company needs to optimize storage costs with some application and services changes.
Which solution will meet these requirements MOST cost-effectively?
A. Create an Amazon S3 bucket that uses an Intelligent-Tiering lifecycle policy. Copy all files to the S3 bucket. Update the application to use Amazon S3 API to store and retrieve files.
B. Deploy Amazon FSx for Windows File Server file shares. Update the application to use CIFS protocol to store and retrieve files.
C. Deploy Amazon FSx for OpenZFS file system shares. Update the application to use the new mount point to store and retrieve files.
D. Create an Amazon S3 bucket that uses S3 Glacier Flexible Retrieval. Copy all files to the S3 bucket. Update the application to use Amazon S3 API to store and retrieve files as standard retrievals.
A company uses Salesforce. The company needs to load existing data and ongoing data changes from Salesforce to Amazon Redshift for analysis. The company does not want the data to travel over the public internet. Which solution will meet these requirements with the LEAST development effort?
A. Establish a VPN connection from the VPC to Salesforce. Use AWS Glue DataBrew to transfer data.
B. Establish an AWS Direct Connect connection from the VPC to Salesforce. Use AWS Glue DataBrew to transfer data.
C. Create an AWS PrivateLink connection in the VPC to Salesforce. Use Amazon AppFlow to transfer data.
D. Create a VPC peering connection to Salesforce. Use Amazon AppFlow to transfer data.
A company is migrating a legacy application from an on-premises data center to AWS. The application relies on hundreds of cron jobs that run between 1 and 20 minutes on different recurring schedules throughout the day.
The company wants a solution to schedule and run the cron jobs on AWS with minimal refactoring. The solution must support running the cron jobs in response to an event in the future.
Which solution will meet these requirements?
A. Create a container image for the cron jobs. Use Amazon EventBridge Scheduler to create a recurring schedule. Run the cron job tasks as AWS Lambda functions.
B. Create a container image for the cron jobs. Use AWS Batch on Amazon Elastic Container Service (Amazon ECS) with a scheduling policy to run the cron jobs.
C. Create a container image for the cron jobs. Use Amazon EventBridge Scheduler to create a recurring schedule. Run the cron job tasks on AWS Fargate.
D. Create a container image for the cron jobs. Create a workflow in AWS Step Functions that uses a Wait state to run the cron jobs at a specified time. Use the RunTask action to run the cron job tasks on AWS Fargate.
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