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What is the main advantage of generating an ontology from a Power BI semantic model compared to building manually?
It creates relationship data bindings automatically
It automatically creates entity types, properties, keys, and entity data bindings from existing model structure
It allows you to use business-friendly names from the start
What must you configure for an entity type before you can bind it to data sources?
Relationship types connecting it to other entities
An entity type key using one or more string or integer properties
At least one time series property
How does a time series binding differ from a static binding?
Time series bindings connect to eventhouse streams with a timestamp column, while static bindings connect to lakehouse tables
Time series bindings can be added before static bindings
Time series bindings don't require a key property
What information do you need to configure a relationship data binding?
The source table containing identifying information for both entity types and the columns that match each entity type's key
Only the source entity type and target entity type
The primary key and foreign key columns from your database schema
You must answer all questions before checking your work.
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