Question 321
A developer maintains a critical business application that uses Amazon DynamoDB as the primary data store The DynamoDB table contains millions of documents and receives 30-60 requests each minute The developer needs to perform processing in near-real time on the documents when they are added or updated in the DynamoDB table How can the developer implement this feature with the LEAST amount of change to the existing application code?
Question 322
A developer is creating a machine learning (ML) pipeline in AWS Step Functions that contains AWS Lambda functions. The developer has configured an Amazon Simple Queue Service (Amazon SQS) queue to deliver ML model parameters to the ML pipeline to train ML models. The developer uploads the trained models are uploaded to an Amazon S3 bucket.
The developer needs a solution that can locally test the ML pipeline without making service integration calls to Amazon SQS and Amazon S3.
Which solution will meet these requirements?
Question 323
A company runs an application on AWS The application stores data in an Amazon DynamoDB table Some queries are taking a long time to run These slow queries involve an attribute that is not the table's partition key or sort key The amount of data that the application stores in the DynamoDB table is expected to increase significantly. A developer must increase the performance of the queries.
Which solution will meet these requirements'?
Question 324
A developer at a company writes an AWS CloudFormation template. The template refers to subnets that were created by a separate AWS CloudFormation template that the company's network team wrote. When the developer attempts to launch the stack for the first time, the launch fails.
Which template coding mistakes could have caused this failure? (Choose two.)
Question 325
A developer is migrating some features from a legacy monolithic application to use AWS Lambda functions instead. The application currently stores data in an Amazon Aurora DB cluster that runs in private subnets in a VPC. The AWS account has one VPC deployed. The Lambda functions and the DB cluster are deployed in the same AWS Region in the same AWS account.
The developer needs to ensure that the Lambda functions can securely access the DB cluster without crossing the public internet.
Which solution will meet these requirements?
