A company built an online event platform. For each event, the company organizes quizzes and generates eaderboards that are based on the quiz scores. The company stores the leaderboard data in Amazon DynamoDB and retains the data for 30 days after an event is complete. The company then uses a cheduled job to delete the old leaderboard data.
The DynamoDB table is configured with a fixed write capacity. During the months when many events occur, he DynamoDB write API requests are throttled when the scheduled delete job runs.
A developer must create a long-term solution that deletes the old leaderboard data and optimizes write hroughput.
Which solution meets these requirements?
A. Configure a TTL attribute for the leaderboard data.
B. Use DynamoDB Streams to schedule and delete the leaderboard data.
C. Use AWS Step Functions to schedule and delete the leaderboard data.
D. Set a higher write capacity when the scheduled delete job runs.
The DynamoDB table is configured with a fixed write capacity. During the months when many events occur, he DynamoDB write API requests are throttled when the scheduled delete job runs.
A developer must create a long-term solution that deletes the old leaderboard data and optimizes write hroughput.
Which solution meets these requirements?
A. Configure a TTL attribute for the leaderboard data.
B. Use DynamoDB Streams to schedule and delete the leaderboard data.
C. Use AWS Step Functions to schedule and delete the leaderboard data.
D. Set a higher write capacity when the scheduled delete job runs.
