For a Dataflow Gen2 creating a new dimension table that must immediately relate to the central fact table, which schema option should you select in the data destination?

Prepare for the Fabric Analytics Engineer Associate Test with comprehensive materials. Explore flashcards, multiple choice questions, and detailed explanations. Get ready for your success!

Multiple Choice

For a Dataflow Gen2 creating a new dimension table that must immediately relate to the central fact table, which schema option should you select in the data destination?

Explanation:
When you’re adding a new dimension that must immediately relate to the central fact table, you want a destination with a stable, predefined set of columns. A fixed schema locks in the column names, data types, and the surrogate key used to join to the fact table, ensuring reliable foreign-key relationships and predictable downstream queries. If you used a dynamic schema, the sink could automatically evolve with new attributes, leading to schema drift that can break joins and complicate migrations and reporting. A flat schema would merge everything into one table, which undermines the clear dimensional relationships, and a hybrid approach doesn’t guarantee the stable, join-ready structure you need. Therefore, fixed schema is the best fit.

When you’re adding a new dimension that must immediately relate to the central fact table, you want a destination with a stable, predefined set of columns. A fixed schema locks in the column names, data types, and the surrogate key used to join to the fact table, ensuring reliable foreign-key relationships and predictable downstream queries. If you used a dynamic schema, the sink could automatically evolve with new attributes, leading to schema drift that can break joins and complicate migrations and reporting. A flat schema would merge everything into one table, which undermines the clear dimensional relationships, and a hybrid approach doesn’t guarantee the stable, join-ready structure you need. Therefore, fixed schema is the best fit.

Subscribe

Get the latest from Passetra

You can unsubscribe at any time. Read our privacy policy