Question 580 of 217
Incremental Refresh Parameters: RangeStart and RangeEnd
Exhibit
Refer to the exhibit.
```json
{
"dataSources": [
{
"name": "SalesDB",
"connectionString": "Data Source=sqlserver.contoso.com;Initial Catalog=SalesDB;Integrated Security=SSPI;"
}
],
"parameters": [
{
"name": "StartDate",
"currentValue": "2023-01-01"
}
]
}
```You are configuring a Power BI dataset with incremental refresh. The above JSON shows part of the M script parameters. The dataset uses a single SQL Server data source. You need to ensure that incremental refresh works correctly. What must you do?
Quick Answer
The answer is to rename the parameter 'StartDate' to 'RangeStart' and add a 'RangeEnd' parameter. This is correct because Power BI's incremental refresh engine strictly requires two reserved, case-sensitive date/time parameters named RangeStart and RangeEnd to dynamically filter the data source query during each refresh cycle. Without these exact names, the engine cannot apply the partitioning logic needed to load only new or changed rows, causing the entire dataset to refresh instead. On the PL-300 exam, this concept tests your understanding of how incremental refresh parameters control data partitioning at the M query level, and a common trap is assuming any date parameter name will work—Power BI will not recognize 'StartDate' or 'BeginDate'. Remember the mnemonic: "RangeStart and RangeEnd are the only two friends that incremental refresh invites to the party."
⚠ Common exam trap
Watch out — candidates often assume any date parameter name will work for incremental refresh, but Power BI strictly requires the exact names 'RangeStart' and 'RangeEnd' (case-sensitive) to enable the partitioning logic.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Rename the parameter 'StartDate' to 'RangeStart' and add a 'RangeEnd' parameter.
Incremental refresh in Power BI requires two special date/time parameters named 'RangeStart' and 'RangeEnd' (case-sensitive). The JSON snippet shows a parameter named 'StartDate', which is not recognized by the incremental refresh engine. Renaming it to 'RangeStart' and adding a 'RangeEnd' parameter allows Power BI to filter the data source query dynamically during refresh, ensuring only the changed or new rows are loaded.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Change the connection string to use a SQL account instead of integrated security.
Why it's wrong here
The authentication method does not affect incremental refresh functionality.
- ✓
Rename the parameter 'StartDate' to 'RangeStart' and add a 'RangeEnd' parameter.
Why this is correct
Incremental refresh uses two reserved parameters named RangeStart and RangeEnd to filter the data. The current parameter name is incorrect.
- ✗
Enable query folding on the SQL Server source.
Why it's wrong here
Query folding is automatically supported for SQL Server; no explicit enable is needed.
- ✗
Define the parameters in the Power Query editor instead of the JSON file.
Why it's wrong here
Parameters can be defined in either place, but the naming convention is the issue.
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Same concept, more angles
1 more way this is tested on PL-300
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. Which TWO actions are required when configuring a Power BI dataset to use incremental refresh?
easy- A.Set the dataset storage mode to DirectQuery.
- B.Enable query caching on the dataset.
- C.Create a calculated table to store the refresh history.
- ✓ D.Set the incremental refresh policy in the dataset settings.
- ✓ E.Define rangeStart and rangeEnd parameters in Power Query.
Why D: Configuring an incremental refresh policy in the dataset settings is a required step to enable incremental refresh in Power BI. This policy defines how data is partitioned and refreshed incrementally based on date/time columns. Option E is correct because you must define `rangeStart` and `rangeEnd` parameters in Power Query to filter data into historical and incremental ranges, which Power BI uses to generate the refresh partitions.
Last reviewed: Jun 24, 2026
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