Note: This question it part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

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You have an Azure Data Lake Storage account that contains a staging zone.

You need to design a daily process to ingest incremental data *rom the staging zone, transform the data by executing an R script and then insert the transformed data into a data warehouse in Azure Synapse Analytics.

Solution: You use an Azure Data Factory schedule trigger to execute a pipeline that executes a mapping data flow, and then inserts the data into the data warehouse.

Does this meet the goal?

You have an Azure data factory.

You need to ensure that pipeline-run data is retained for 120 days. The solution must ensure that you can query the data by using the Kusto query language.

Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

You have an Azure Synapse Analytics dedicated SQL pool.

You plan to create a fact table named Table1 that will contain a clustered columnstore index.

You need to optimize data compression and query performance for Table1.

What is the minimum number of rows that Table1 should contain before you create partitions?