A Solutions Architect must design an Amazon DynamoDB table to store data about customer activities. The data is used to analyze recent customer behavior, so data that is less than a week old is heavily accessed and older data is accessed infrequently. Data that is more than one month old never needs to be referenced by the application, but needs to be archived for year-end analytics. What is the MOST cost-efficient way to meet these requirements? (Choose two.)
A. Use DynamoDB time-to-live settings to expire items after a certain time period.
B. Provision a higher write capacity unit to minimize the number of partitions.
C. Create separate tables for each week’s data with higher throughput for the current week.
D. Pre-process data to consolidate multiple records to minimize write operations.
E. Export the old table data from DynamoDB to Amazon S3 using AWS Data Pipeline, and delete the old table.
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