What is a disadvantage of Type 3 slowly changing dimension?

Prepare for the DP-600 Fabric Analytics Engineer Exam. Study with flashcards and multiple choice questions, each offering hints and detailed explanations. Enhance your chances of success on the exam!

Multiple Choice

What is a disadvantage of Type 3 slowly changing dimension?

Explanation:
Type 3 slowly changing dimensions test how history is kept when an attribute changes. In this design, only a limited slice of history is kept: the current value and the most recent previous value sit in the same row. Because you store only that one prior state, you don’t retain a full history of all changes. This makes it fast and simple to query the present value and recent change, but it’s not suitable when you need a complete audit trail or long-term trend analysis. So the disadvantage is the limited history you can track. By contrast, other approaches preserve full history (Type 2) or use separate history structures, which is why those options describe different trade-offs.

Type 3 slowly changing dimensions test how history is kept when an attribute changes. In this design, only a limited slice of history is kept: the current value and the most recent previous value sit in the same row. Because you store only that one prior state, you don’t retain a full history of all changes. This makes it fast and simple to query the present value and recent change, but it’s not suitable when you need a complete audit trail or long-term trend analysis. So the disadvantage is the limited history you can track. By contrast, other approaches preserve full history (Type 2) or use separate history structures, which is why those options describe different trade-offs.

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