A mobile app stores blog posts in an Amazon DynamoDB table. Millions of posts are added every day, and each post represents a single item in the table. The mobile app requires only recent posts. Any post that is older than 48 hours can be removed.

What is the MOST cost-effective way to delete posts that are older than 48 hours?

A. For each item, add a new attribute of type String that has a timestamp that is set to the blog post creation time. Create a script to find old posts with a table scan and remove posts that are older than 48 hours by using the BatchWriteItem API operation. Schedule a cron job on an Amazon EC2 instance once an hour to start the script.

B. For each item, add a new attribute of type String that has a timestamp that is set to the blog post creation time. Create a script to find old posts with a table scan and remove posts that are older than 48 hours by using the BatchWriteItem API operation. Place the script in a container image. Schedule an Amazon Elastic Container Service (Amazon ECS) task on AWS Fargate that invokes the container every 5 minutes.

C. For each item, add a new attribute of type Date that has a timestamp that is set to 48 hours after the blog post creation time. Create a global secondary index (GSI) that uses the new attribute as a sort key. Create an AWS Lambda function that references the GSI and removes expired items by using the BatchWriteItem API operation. Schedule the function with an Amazon CloudWatch event every minute.

D. For each item, add a new attribute of type Number that has a timestamp that is set to 48 hours after the blog post creation time. Configure the DynamoDB table with a TTL that references the new attribute.

An application uses Lambda functions to extract metadata from files uploaded to an S3 bucket; the metadata is stored in Amazon DynamoDB. The application starts behaving unexpectedly, and the Developer wants to examine the logs of the Lambda function code for errors.

Based on this system configuration, where would the Developer find the logs?

A. Amazon S3

B. AWS CloudTrail

C. Amazon CloudWatch

D. Amazon DynamoDB

A developer is working on a serverless application lhat needs lo process any changes to an Amazon DynamoDB table with an AWS Lambda function

How should the developer configure the Lambda function to detect changes to the DynamoDB tabled

A. Create an Amazon Kinesis data stream, and attach it to the DynamoDB table Create a trigger to connect the data stream to the Lambda function

B. Create an Amazon EventBridge (Amazon CloudWatch Events) rule to invoke the Lambda function on a regular schedule Connect to the DynamoDB table from the Lambda function to detect changes

C. Enable DynamoDB Streams on the table Create a trigger to connect the DynamoDB stream to the Lambda function

D. Create an Amazon Kinesis Data Firehose delivery stream, and attach it to the DynamoDB table Configure the delivery stream destination as the Lambda function

A company provides APIs as a service and commits to a service level agreement (SLA) with all its users. To comply with each SLA, what should the company do?

A. Enable throttling limits for each method in Amazon API Getaway.

B. Create a usage plan for each user and request API keys to access the APIs.

C. Enable API rate limiting in Amazon cognito for each user.

D. Enable default throttling limits for each stage after deploying the APIs.

A company is adding items to an Amazon DynamoDB table from an AWS Lambda function that is written in Python. A developer needs to implement a solution that inserts records in the DynamoDB table and performs automatic retry when the insert fails.

Which solution meets these requirements with MINIMUM code changes?

A. Configure the Python code to run the AWS CLI through shell to call the PutItem operation

B. Call the PutItem operation from Python by using the DynamoDB HTTP API

C. Queue the items in AWS Glue, which will put them into the DynamoDB table

D. Use the AWS software development kit (SDK) for Python (boto3) to call the PutItem operation