Data Source Settings and Parameters

Quick Answer: Data source settings manage credentials and privacy levels for each connection. Privacy levels (Private, Organizational, Public) control data mixing between sources. Parameters let you create dynamic connection strings so you can switch servers, databases, or filter values without editing queries manually.

Data Source Settings

Data source settings are managed in Power BI Desktop under:

File → Options and Settings → Data Source Settings

What You Can Configure

Managing Credentials

Each data source stores credentials independently. When credentials expire or change:

1. Open Data Source Settings in Power BI Desktop
2. Select the affected data source
3. Click Edit Permissions → Edit Credentials
4. Enter new credentials and test the connection

In the Power BI Service, credentials are managed per dataset:

• Navigate to Settings → Datasets → select the dataset
• Under Data source credentials, configure each source
• Service credentials are separate from Desktop credentials

Exam Tip: When you publish a report, credentials do NOT transfer to the Service. You must configure credentials in the Service separately.

Privacy Levels

Privacy levels are a critical concept that controls how Power BI combines data from different sources.

The Three Privacy Levels

Privacy Level Implications

When combining data from sources with different privacy levels:

• Private + Public = Blocked (Power BI will not combine these)
• Private + Organizational = Blocked
• Organizational + Organizational = Allowed
• Organizational + Public = Allowed (Organizational level is maintained)
• Public + Public = Allowed

Warning: Setting the privacy level to "None" disables privacy checks entirely. This is useful for development but should never be used in production with sensitive data.

Configuring Privacy Levels

Privacy levels can be set:

1. Per data source — In Data Source Settings when first connecting
2. Globally — Under File → Options → Privacy
   • "Always combine data according to privacy settings" (recommended)
   • "Combine data according to each file's privacy level settings"
   • "Always ignore privacy level settings" (development only)

Parameters

Parameters in Power BI are variables that can be referenced in queries, connection strings, and transformations.

Creating Parameters

In Power Query Editor:

Home tab → Manage Parameters → New Parameter

Configure:

• Name: Descriptive identifier (e.g., ServerName, DatabaseName)
• Type: Text, Decimal Number, Date/Time, True/False, etc.
• Suggested Values: Any value, List of values, or Query
• Default Value: The initial value
• Current Value: The active value used in queries

Common Parameter Use Cases

1. Dynamic Server/Database Connections

Create parameters for server and database names to switch between development, test, and production environments without editing queries:

let
    Source = Sql.Database(ServerName, DatabaseName)
in
    Source

2. Dynamic Filter Values

Use parameters to filter data at the source, reducing the amount of data loaded:

let
    Source = Sql.Database("myserver", "mydb"),
    Filtered = Table.SelectRows(Source, each [Year] >= StartYear)
in
    Filtered

3. Dynamic File Paths

Reference a parameter for file locations:

let
    Source = Csv.Document(File.Contents(FilePath))
in
    Source

Modifying Parameters

Parameters can be changed in two ways:

• Power BI Desktop: Home → Transform Data → Edit Parameters
• Power BI Service: Dataset Settings → Parameters section

Exam Tip: When using parameters for data source connections, changes in the Power BI Service will trigger a data refresh with the new parameter values.

Parameter Best Practices

1. Use descriptive names (ServerName, not Param1)
2. Set suggested values as a list when there are known options
3. Always provide a default value for published reports
4. Document parameter purposes in a README table within the model
5. Use parameters with deployment pipelines for environment management

On the Exam

The PL-300 frequently tests:

• Understanding privacy level implications when combining data sources
• Creating and modifying parameters for dynamic connections
• Managing credentials in both Desktop and Service
• Knowing that credentials don't transfer when publishing
• Using parameters with deployment pipelines for environment switching