A company is migrating its blog platform to AWS. The company's on-premises servers connect to AWS through an AWS Site-to-Site VPN connection. The blog content is updated several times a day by multiple authors and is served from a file share on a network-attached storage (NAS) server.
The company needs to migrate the blog platform without delaying the content updates. The company has deployed Amazon EC2 instances across multiple Availability Zones to run the blog platform behind an Application Load Balancer. The company also needs to move 200 TB of archival data from its on-premises servers to Amazon S3 as soon as possible.
Which combination of stops will meet these requirements? (Choose two.)
A. Create a weekly cron job in Amazon EventBridge. Use the cron job to invoke an AWS Lambda function to update the EC2 instances from the NAS server.
B. Configure an Amazon Elastic Block Store (Amazon EBS) Multi-Attach volume for the EC2 instances to share for content access. Write code to synchronize the EBS volume with the NAS server weekly.
C. Mount an Amazon Elastic File System (Amazon EFS) file system to the on-premises servers to act as the NAS server. Copy the blog data to the EFS file system. Mount the EFS file system to the C2 instances to serve the content.
D. Order an AWS Snowball Edge Storage Optimized device. Copy the static data artifacts to the device. Ship the device to AWS.
E. Order an AWS Snowcons SSD device. Copy the static data artifacts to the device. Ship the device to AWS.
A company needs to migrate its on-premises database fleet to Amazon RDS. The company is currently using a mixture of Microsoft SQL Server, MySQL, and Oracle databases. Some of the databases have custom schemas and stored procedures.
Which combination of steps should the company take for the migration? (Choose two.)
A. Use Migration Evaluator Quick Insights to analyze the source databases and to identify the stored procedures that need to be migrated.
B. Use AWS Application Migration Service to analyze the source databases and to identify the stored procedures that need to be migrated.
C. Use the AWS Schema Conversion Tool (AWS SCT) to analyze the source databases for changes that are required
D. Use AWS Database Migration Service (AWS DMS) to migrate the source databases to Amazon RDS.
E. Use AWS DataSync to migrate the data from the source databases to Amazon RDS.
A company runs a web application on a single Amazon EC2 instance. End users experience slow application performance during times of peak usage, when CPU utilization is consistently more than 95%.
A user data script installs required custom packages on the EC2 instance. The process of launching the instance takes several minutes.
The company is creating an Auto Scaling group that has mixed instance groups, varied CPUs, and a maximum capacity limit. The Auto Scaling group will use a launch template for various configuration options. The company needs to
decrease application latency when new instances are launched during auto scaling.
Which solution will meet these requirements?
A. Use a predictive scaling policy. Use an instance maintenance policy to run the user data script. Set the default instance warmup time to 0 seconds.
B. Use a dynamic scaling policy. Use lifecycle hooks to run the user data script. Set the default instance warmup time to 0 seconds.
C. Use a predictive scaling policy. Enable warm pools for the Auto Scaling group. Use an instance maintenance policy to run the user data script.
D. Use a dynamic scaling policy. Enable warm pools for the Auto Scaling group. Use lifecycle hooks to run the user data script.
A company is migrating its on-premises IoT platform to AWS. The platform consists of the following components:
? A MongoDB cluster as a data store for all collected and processed IoT data.
? An application that uses Message Queuing Telemetry Transport (MQTT) to connect to IoT devices every 5 minutes to collect data. ? An application that runs jobs periodically to generate reports from the IoT data. The jobs take 120-600
seconds to finish running. ? A web application that runs on a web server. End users use the web application to generate reports that are accessible to the general public.
The company needs to migrate the platform to AWS to reduce operational overhead while maintaining performance.
Which combination of steps will meet these requirements with the LEAST operational overhead? (Choose three.)
A. Create AWS Step Functions state machines with AUS Lambda tasks to prepare the reports and to write the reports to Amazon S3. Configure an Amazon CloudFront distribution that has an S3 origin to serve the reports
B. Create an AWS Lambda function. Program the Lambda function to connect to the IoT devices. process the data, and write the data to the data store. Configure a Lambda layer to temporarily store messages for processing.
C. Configure an Amazon Elastic Kubernetes Service (Amazon EKS) cluster with Amazon EC2 instances to prepare the reports. Create an ingress controller on the EKS cluster to serve the reports.
D. Connect the IoT devices to AWS IoT Core to publish messages. Create an AWS IoT rule that runs when a message is received. Configure the rule to call an AWS Lambda function. Program the Lambda function to parse, transform, and store device message data to the data store.
E. Migrate the MongoDB cluster to Amazon DocumentDB (with MongoDB compatibility).
F. Migrate the MongoDB cluster to Amazon EC2 instances.
A company plans to migrate a legacy on-premises application to AWS. The application is a Java web application that runs on Apache Tomcat with a PostgreSQL database. The company does not have access to the source code but can deploy the application Java Archive (JAR) files. The application has increased traffic at the end of each month. Which solution will meet these requirements with the LEAST operational overhead?
A. Launch Amazon EC2 instances in multiple Availability Zones. Deploy Tomcat and PostgreSQL to all the instances by using Amazon Elastic File System (Amazon EFS) mount points. Use AWS Step Functions to deploy additional EC2 instances to scale for increased traffic.
B. Provision Amazon Elastic Kubernetes Service (Amazon EKS) in an Auto Scaling group across multiple AWS Regions. Deploy Tomcat and PostgreSQL in the container images. Use a Network Load Balancer to scale for increased traffic.
C. Refactor the Java application into Python-based containers. Use AWS Lambda functions for the application logic. Store application data in Amazon DynamoDB global tables. Use AWS Storage Gateway and Lambda concurrency to scale for increased traffic.
D. Use AWS Elastic Beanstalk to deploy the Tomcat servers with auto scaling in multiple Availability Zones. Store application data in an Amazon RDS for PostgreSQL database. Deploy Amazon CloudFront and an Application Load Balancer to scale for increased traffic.
A company is migrating its data center to the AWS Cloud and needs to complete the migration as quickly as possible. The company has many applications that are running on hundreds of VMware VMs in the data center. Each VM is configured with a shared Windows folder that contains common shared files. The file share is larger than 100 GB in size.
The company's compliance team requires a change request to be fled and approved for every software installation and modification to each VM. The company has an AWS Direct Connect connection with 10 GB of bandwidth between AWS and the data center.
Which set of steps should the company take to complete the migration in the LEAST amount of time?
A. Use VM ImporvExport to create images of each VM. Use AWS Application Migration Service to manage and view the images. Copy the Windows file share data to an Amazon Elastic File System (Amazon EFS) file system. After migration, remap the file share to the EFS file system.
B. Deploy the AWS Application Discovery Service agentless appliance to VMware vCenter. Review the portfolio of discovered VMs in AWS Migration Hub.
C. Deploy the AWS Application Migration Service agentless appliance to VMware vCenter. Copy the Windows file share data to a new Amazon FSx for Windows File Server file system. After migration, remap the file share on each VM to the FSx for Windows File Server file system.
D. Create and review a portfolio in AWS Migration Hub. Order an AWS Snowcone device. Deploy AWS Application Migration Service to VMware vCenter and export all the VMs to the Snowcone device. Copy all Windows file share data to the Snowcone device. Ship the Snowcone device to AWS. Use Application Migration Service to deploy all the migrated instances.
E. Deploy the AWS Application Discovery Service Agent and the AWS Application Migration Service Agent onto each VMware hypervisor directly. Review the portfolio in AWS Migration Hub. Copy each VM's file share data to a new Amazon FSx for Windows File Server file system. After migration, remap the file share on each VM to the FSx for Windows File Server file system.
A company operates a static content distribution platform that serves customers globally. The customers consume content from their own AWS accounts.
The company serves its content from an Amazon S3 bucket. The company uploads the content from its on-premises environment to the S3 bucket by using an S3 File Gateway.
The company wants to improve the platform's performance and reliability by serving content from the AWS Region that is geographically closest to customers. The company must route the on-premises data to Amazon S3 with minimal latency and without public internet exposure.
Which combination of steps will meet these requirements with the LEAST operational overhead? (Choose two.)
A. Implement S3 Multi-Region Access Points
B. Use S3 Cross-Region Replication (CRR) to copy content to different Regions
C. Create an AWS Lambda function that tracks the routing of clients to Regions
D. Use an AWS Site-to-Site VPN connection to connect to a Multi-Region Access Point.
E. Use AWS PrivateLink and AWS Direct Connect to connect to a Multi-Region Access Point.
A company wants to create a single Amazon S3 bucket for its data scientists to store work-related documents. The company uses AWS IAM Identity Center to authenticate all users. A group for the data scientists was created.
The company wants to give the data scientists access to only their own work. The company also wants to create monthly reports that show which documents each user accessed.
Which combination of steps will meet these requirements? (Choose two.)
A. Create a custom IAM Identity Center permission set to grant the data scientists access to an S3 bucket prefix that matches their username tag. Use a policy to limit access to paths with the ${aws:PrincipalTag/userName}/* condition.
B. Create an IAM Identity Center role for the data scientists group that has Amazon S3 read access and write access. Add an S3 bucket policy that allows access to the IAM Identity Center role.
C. Configure AWS CloudTrail to log S3 data events and deliver the logs to an S3 bucket. Use Amazon Athena to run queries on the CloudTrail logs in Amazon S3 and generate reports.
D. Configure AWS CloudTrail to log S3 management events to CloudWatch. Use Amazon Athena's CloudWatch connector to query the logs and generate reports.
E. Enable S3 access logging to EMR File System (EMRFS). Use Amazon S3 Select to query logs and generate reports.
An entertainment company hosts a ticketing service on a fleet of Linux Amazon EC2 instances that are in an Auto Scaling group. The ticketing service uses a pricing file. The pricing file is stored in an Amazon S3 bucket that has S3 Standard storage. A central pricing solution that is hosted by a third party updates the pricing file.
The pricing file is updated every 1-15 minutes and has several thousand line items. The pricing file is downloaded to each EC2 instance when the instance launches.
The EC2 instances occasionally use outdated pricing information that can result in incorrect charges for customers.
Which solution will resolve this problem MOST cost-effectively?
A. Create an AWS Lambda function to update an Amazon DynamoDB table with new prices each time the pricing file is updated. Update the ticketing service to use DynramoDB to look up pricing
B. Create an AWS Lambda function to update an Amazon Elastic File System (Amazon EFS) file share with the pricing file each time the file is updated. Update the ticketing service to use Amazon EFS to access the pricing file.
C. Load Mountpoint for Amazon S3 onto the AMI of the EC2 instances. Configure Mountpoint for Amazon S3 to mount the S3 bucket that contains the pricing file. Update the ticketing service to point to the mount point and path to access the $3 object,
D. Create an Amazon Elastic Block Store (Amazon EBS) volume. Use EBS Multi-Attach to attach the volume to every EC2 instance. When a new EC2 instance launches, configure the new instance to update the pricing file on the EBS volume. Update the ticketing service to point to the new local source.
A company creates an Amazon API Gateway API and shares the API with an external development team. The API uses AWS Lambda functions and is deployed to a stage that is named Production.
The external development team is the sole consumer of the API. The API experiences sudden increases of usage at specific times, leading to concerns about increased costs. The company needs to limit cost and usage without reworking the
Lambda functions.
Which solution will meet these requirements MOST cost-effectively?
A. Configure the API to send requests to Amazon Simple Queue Service (Amazon SQS) queues instead of directly to the Lambda functions. Update the Lambda functions to consume messages from the queues and to process the requests. Set up the queues to invoke the Lambda functions when new messages arrive.
B. Configure provisioned concurrency for each Lambda function. Use AWS Application Auto Scaling to register the Lambda functions as targets. Set up scaling schedules to increase and decrease capacity to match changes in API usage.
C. Create an API Gateway API key and an AWS WAF Regional web ACL. Associate the web ACL with the Production stage. Add a rate-based rule to the web ACL. In the rule, specify the rate limit and a custom request aggregation that uses the X-API-Key header. Share the API key with the external development team.
D. Create an API Gateway API Key and usage plan. Define throttling limits and quotas in the usage plan. Associate the usage plan with the Production stage and the API key. Share the API key with the external development team.
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