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Vou have an Azure Cosmos DB for NoSQL account that hosts a container named Container1.

Vou have an Azure Cosmos DB for NoSQL account that hosts a container named Container1. Contained has analytical store enabled, analytical TTL is set to 7 flays.

An application performs frequent updates to Container 1 and uses TTL to remove expired items.

Vou plan to build an incremental export from Container! to a downstream sink by using change data capture (CDC) in the analytical store and running the export from Azure Data Factory mapping data flows-

You need to configure CDC to meet the following requirement!

• The first run must include only changes from the last three days.

• The RUs required to perform the first run must be minimized.

• Subsequent runs must capture inserts updates, deletes, and TTL operations.

• The process must NOT rely on custom checkpoints based on the _is property,

Which CDC start option should you configure for the source?

A.

Start from the beginning, and set analytical TTL to 3 days so that the first CDC read contains only the last three days.

B.

Start from a specific timestamp set to now. and configure the pipeline to backfill the previous three days by querying the analytical store with a _is fitter

C.

Start from a specific timestamp set to three days ago.

D.

Start from the beginning, and set the dataflow to write rows only where the CDC operation time is within the last three days.

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