A custom metric uses a unique request ID as a dimension and creates a very large number of time series. Which change should be evaluated?

1. Use bounded dimensions for aggregate metrics and keep request IDs in logs or traces for detailed correlation.
2. Delete all request correlation information from every diagnostic system.
3. Assume dimension values are ignored when CloudWatch identifies a metric.
4. Add a second random dimension to every request to reduce cardinality.