Imagine you have a table storing temporary session data. Which of the following best explains why enabling automatic expiration (TTL) is useful for managing data lifecycle?
Think about what happens to data you no longer need and how automatic expiration can help.
Automatic expiration (TTL) in DynamoDB deletes items after a specified time, which helps keep the table clean and reduces storage costs by removing outdated data automatically.
Given a DynamoDB table with TTL enabled on the attribute 'expireAt' (a timestamp), what will be the state of an item after its 'expireAt' time passes?
Consider what TTL does to expired items in the table.
TTL automatically deletes expired items from the table, so they no longer appear in queries or scans.
Which of the following AWS CLI commands correctly enables TTL on a DynamoDB table with the attribute 'expireAt'?
Check the official AWS CLI command syntax for TTL updates.
The correct command uses update-time-to-live with a JSON-like specification for enabling TTL and specifying the attribute name.
Which of the following best describes how automatic expiration (TTL) improves DynamoDB table performance?
Think about how fewer items in a table affect query speed.
Removing expired items reduces the amount of data DynamoDB must scan or read, which can improve latency and reduce costs.
A developer enabled TTL on the 'expireAt' attribute, but expired items remain in the table after their expiration time. What is the most likely reason?
Check the required format for TTL attribute values.
TTL expects the expiration attribute to be a number representing Unix epoch time in seconds. If the format is incorrect, DynamoDB will not delete the items.