Microsoft Updated DP-600 Exam Questions and Answers by kamil

Requirement: “The number of rows added to the Orders table during refreshes must be minimized.”

The Orders table has a sequential OrderID .

To minimize refresh size, you must only import new rows , not the entire table.

This requires retrieving the maximum OrderID currently loaded, then only loading rows with a greater OrderID.

So, the correct solution is to use a pipeline (ADF) with a dataflow to retrieve the maximum OrderID .

Answer: C. an Azure Data Factory pipeline that executes a dataflow to retrieve the maximum value of the OrderID column in the destination lakehouse

When you need to return all rows that are present in both tables, you use a full outer join. This type of join combines the results of both left and right outer joins and returns all rows from both tables, with matching rows from both sides where available. If there is no match, the result is NULL on the side of the join where there is no match.

You should use the Parquet format (B) for the sales data files because it is optimized for performance with large datasets in analytical processing and create a shortcut in the Tables section (D) to facilitate SQL queries through the lakehouse ' s SQL endpoint. References = The best practices for working with file formats and shortcuts in a lakehouse environment are covered in the lakehouse and SQL endpoint documentation provided by the cloud data platform services.

DF1 will be deployed to Workspace_TEST : Yes

Data from Model1 will be deployed to Workspace_TEST : No

The scheduled refresh policy for Model1 will be deployed to Workspace_TEST : No

DF1 is a Dataflow Gen1 with a configured scheduled refresh policy, so it will be deployed to Workspace_TEST.

Data from Model1 will not be deployed as Model1 ' s scheduled refresh policy is not configured, indicating it is not set up for deployment.

The scheduled refresh policy for Model1 will not be deployed since it is listed as " Not configured. "