Prepare the Data

The correct solution is to right-click each 'Normalization' query and uncheck 'Enable load' in the context menu.

This is the proper approach because:

1. How 'Enable load' works: When you uncheck 'Enable load' for a query in Power Query Editor, the query still executes during refresh and can be referenced by other queries, but it does NOT create a table in the semantic model. This is exactly what the scenario requires - the Normalization queries need to run to feed data into the Analytics queries, but should not persist as separate tables.

2. Memory optimization: By disabling load on the Normalization queries, the intermediate result sets with millions of rows will not be stored in the semantic model, which directly addresses the memory pressure issue on the gateway.

3. Preserving the pipeline: Other queries can still reference queries with 'Enable load' disabled. The Analytics queries will continue to receive processed data from the Normalization queries during refresh.

Why the other options are incorrect:

'Include in report refresh' - This option does not exist in Power BI's Power Query Editor context menu. This is a fabricated option that sounds plausible but is not a real feature.

Converting to function queries - While functions are useful for parameterized transformations, simply converting a query to a function doesn't automatically exclude results from the model. Functions need to be invoked, and the scenario describes queries that process data, not reusable transformation patterns. This approach would require significant restructuring and doesn't directly solve the problem.

Table.Buffer function - This function caches query results in memory during execution to prevent multiple evaluations, but it does NOT prevent tables from being loaded into the semantic model. Table.Buffer is a performance optimization technique, not a model storage control mechanism. The query would still create a table in the model after refresh completes.

The Table.AddColumn function in Power Query M has the following syntax: Table.AddColumn(table, newColumnName, columnGenerator, optional columnType).

The third parameter (columnGenerator) is indeed a function that receives each row as a record and returns the computed value for that row in the new column. This function is evaluated for every row in the table, allowing you to create dynamic calculated columns based on existing data.

For example: Table.AddColumn(Source, "Total", each [Quantity] * [Price])

In this example, 'each' is shorthand for a function that takes a record (representing each row), and [Quantity] * [Price] is the expression that computes the value.

The other answers are incorrect for the following reasons:

• The second parameter is not a function for iteration - it's actually the new column name (a text value), not a computational function.

• The fourth parameter is not for conditional logic - it's an optional parameter that specifies the column's data type explicitly, not a function for computation.

• While the third parameter does accept a function, it's not limited to static values or constants. It's specifically designed to accept a dynamic function that can reference row values and perform calculations, making it much more powerful than simply replicating static values.

The 'Table.RemoveRowsWithErrors' function in Power Query is specifically designed to remove all rows from a table that contain error values in any column. This is its primary and intended purpose when dealing with data import issues.

When you import data into Power Query, you may encounter rows with errors due to type conversion issues, invalid data formats, or other data quality problems. This function provides a clean way to eliminate those problematic rows entirely from your dataset.

The other options are incorrect for the following reasons:

• The option about removing rows with null values and replacing them with defaults is incorrect because this function specifically targets error values, not null values. Null values and errors are treated differently in Power Query, and this function does not replace anything with defaults.

• The option about removing only the first occurrence and logging it is incorrect because the function removes ALL rows containing errors, not just the first one. Additionally, it does not have built-in logging functionality for later review.

• The option about removing error values while preserving the row structure is incorrect because this function removes the entire row, not just the error values within cells. If you wanted to keep rows but handle errors differently, you would use other functions like 'Table.ReplaceErrorValues' instead.