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A company wants to migrate its data analytics environment from on premises to AWS The environment consists of two simple Node js applications One of the applications collects sensor data and loads it into a MySQL database The other application aggregates the data into reports When the aggregation jobs run. some of the load jobs fail to run correctly
The company must resolve the data loading issue The company also needs the migration to occur without interruptions or changes for the company's customers
What should a solutions architect do to meet these requirements?
Set up an Amazon Aurora MySQL database. Use AWS Database Migration Service (AWS DMS) to perform continuous data replication from the on-premises database to Aurora. Create an Aurora Replica for the Aurora MySQL database, and move the aggregation jobs to run against the Aurora Replica. Set up collection endpoints as AWS Lambda functions behind an Application Load Balancer (ALB), and use Amazon RDS Proxy to write to the Aurora MySQL database. When the databases are synced, point the collector DNS record to the ALB. Disable the AWS DMS sync task after the cutover from on premises to AWS.
Amazon RDS Proxy allows applications to pool and share connections established with the database, improving database efficiency and application scalability. With RDS Proxy, failover times for Aurora and RDS databases are reduced by up to 66%
A company is developing an application that will display financial reports. The company needs a solution that can store financial Information that comes from multiple systems. The solution must provide the reports through a web interface and must serve the data will less man 500 milliseconds or latency to end users. The solution also must be highly available and must have an RTO or 30 seconds.
Which solution will meet these requirements?
For an application requiring low-latency access to financial information and high availability with a Recovery Time Objective (RTO) of 30 seconds, using Amazon DynamoDB for data storage and Amazon QuickSight for reporting is the most suitable solution. DynamoDB offers fast, consistent, and single-digit millisecond latency for data retrieval, meeting the latency requirements. QuickSight's ability to directly query DynamoDB datasets and provide embedded dashboards for reporting enables real-time financial report generation. This combination ensures high availability and meets the RTO requirement, providing a robust solution for the application's needs.
Amazon DynamoDB Documentation: Describes the features and benefits of DynamoDB, emphasizing its performance and scalability for applications requiring low-latency access to data.
Amazon QuickSight Documentation: Provides information on using QuickSight for creating and embedding interactive dashboards, including direct querying of DynamoDB datasets for real-time data visualization.
A company wants to use a third-party software-as-a-service (SaaS) application. The third-party SaaS application is consumed through several API calls. The third-party SaaS application also runs on AWS inside a VPC.
The company will consume the third-party SaaS application from inside a VPC. The company has internal security policies that mandate the use of private connectivity that does not traverse the internet. No resources that run in the company VPC are allowed to be accessed from outside the company's VPC. All permissions must conform to the principles of least privilege.
Which solution meets these requirements?
Note from documentation that Interface Endpoint is at client side
A company is using AWS CodePipeline for the CI/CD of an application to an Amazon EC2 Auto Scaling group. All AWS resources are defined in AWS
CloudFormation templates. The application artifacts are stored in an Amazon S3 bucket and deployed to the Auto Scaling group using instance user data scripts.
As the application has become more complex, recent resource changes in the CloudFormation templates have caused unplanned downtime.
How should a solutions architect improve the CI/CD pipeline to reduce the likelihood that changes in the templates will cause downtime?
A company has a legacy monolithic application that is critical to the company's business. The company hosts the application on an Amazon EC2 instance that runs Amazon Linux 2. The company's application team receives a directive from the legal department to back up the data from the instance's encrypted Amazon
Elastic Block Store (Amazon EBS) volume to an Amazon S3 bucket. The application team does not have the administrative SSH key pair for the instance. The application must continue to serve the users.
Which solution will meet these requirements?
Taking a snapshot of the EBS volume using Amazon Data Lifecycle Manager (DLM) will meet the requirements because it allows you to create a backup of the volume without the need to access the instance or its SSH key pair. Additionally, DLM allows you to schedule the backups to occur at specific intervals and also enables you to copy the snapshots to an S3 bucket. This approach will not impact the running application as the backup is performed on the EBS volume level.
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