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A company has an event-driven application that invokes AWS Lambda functions up to 800 times each minute with varying runtimes. The Lambda functions access data that is stored in an Amazon Aurora MySQL OB cluster. The company is noticing connection timeouts as user activity increases The database shows no signs of being overloaded. CPU. memory, and disk access metrics are all low. Which solution will resolve this issue with the LEAST operational overhead?
A. Adjust the size of the Aurora MySQL nodes to handle more connections. Configure retry
logic in the Lambda functions for attempts to connect to the database
B. Set up Amazon ElastiCache tor Redls to cache commonly read items from the database. Configure the Lambda functions to connect to ElastiCache for reads.
C. Add an Aurora Replica as a reader node. Configure the Lambda functions to connect to the reader endpoint of the OB cluster rather than lo the writer endpoint.
D. Use Amazon ROS Proxy to create a proxy. Set the DB cluster as the target database Configure the Lambda functions lo connect to the proxy rather than to the DB cluster.
A company wants to create an audio version of its product manual. The product manual contains custom product names and abbreviations. The product manual is divided into sections Which solution will meet these requirements with the LEAST operational overhead?
A. Use Amazon Polly Build custom lexicons for the product names and abbreviations Use the StartSpeechSynthesJsTaskAPl operation for each section of the product manual
B. Use Amazon Polly Build custom Speech Synthesis Markup Language (SSML) for the product names and abbreviations Use the StartDocumentTextDetection API operation for each section of the product manual
C. Use Amazon Textract Build custom Speech Synthesis Markup Language (SSML) for the
product names and abbreviations Use the StartDocumentTextDetection API operation for
each section of the product manual
D. Use Amazon Textract Build custom lexicons for the product names and abbreviations Use the StartTranscriptionJob API operation for each section of the product manual
A company's application integrates with multiple software-as-a-service (SaaS) sources for data collection. The company runs Amazon EC2 instances to receive the data and to upload the data to an Amazon S3 bucket for analysis. The same EC2 instance that receives and uploads the data also sends a notification to the user when an upload is complete. The company has noticed slow application performance and wants to improve the performance as much as possible. Which solution will meet these requirements with the LEAST operational overhead?
A. Create an Auto Scaling group so that EC2 instances can scale out. Configure an S3 event notification to send events to an Amazon Simple Notification Service (Amazon SNS)
topic when the upload to the S3 bucket is complete.
B. Create an Amazon AppFlow flow to transfer data between each SaaS source and the
S3 bucket. Configure an S3 event notification to send events to an Amazon Simple
Notification Service (Amazon SNS) topic when the upload to the S3 bucket is complete.
C. Create an Amazon EventBridge (Amazon CloudWatch Events) rule for each SaaS source to send output data. Configure the S3 bucket as the rule's target. Create a second EventBridge (CloudWatch Events) rule to send events when the upload to the S3 bucket is complete. Configure an Amazon Simple Notification Service (Amazon SNS) topic as the second rule's target.
D. Create a Docker container to use instead of an EC2 instance. Host the containerized application on Amazon Elastic Container Service (Amazon ECS). Configure Amazon CloudWatch Container Insights to send events to an Amazon Simple Notification Service (Amazon SNS) topic when the upload to the S3 bucket is complete.
A company stores data in an Amazon Aurora PostgreSQL DB cluster. The company must store all the data for 5 years and must delete all the data after 5 years. The company also must indefinitely keep audit logs of actions that are performed within the database. Currently, the company has automated backups configured for Aurora. Which combination of steps should a solutions architect take to meet these requirements? (Select TWO.)
A. Take a manual snapshot of the DB cluster.
B. Create a lifecycle policy for the automated backups.
C. Configure automated backup retention for 5 years.
D. Configure an Amazon CloudWatch Logs export for the DB cluster.
E. Use AWS Backup to take the backups and to keep the backups for 5 years.
A research company runs experiments that are powered by a simulation application and a visualization application. The simulation application runs on Linux and outputs intermediate data to an NFS share every 5 minutes. The visualization application is a Windows desktop application that displays the simulation output and requires an SMB file system. The company maintains two synchronized tile systems. This strategy is causing data duplication and inefficient resource usage. The company needs to migrate the applications to AWS without making code changes to either application. Which solution will meet these requirements?
A. Migrate both applications to AWS Lambda Create an Amazon S3 bucket to
exchange data between the applications.
B. Migrate both applications to Amazon Elastic Container Service (Amazon ECS).
Configure Amazon FSx File Gateway for storage.
C. Migrate the simulation application to Linux Amazon EC2 instances. Migrate the
visualization application to Windows EC2 instances. Configure Amazon Simple Queue
Service (Amazon SOS) to exchange data between the applications.
D. Migrate the simulation application to Linux Amazon EC2 instances. Migrate the
visualization application to Windows EC2 instances. Configure Amazon FSx for NetApp
ONTAP for storage.