You need to design an Azure Synapse Analytics dedicated SQL pool that meets the following requirements: ✑ Can return an employee record from a given point in time. ✑ Maintains the latest employee information. ✑ Minimizes query complexity. How should you model the employee data?

QuestionsCategory: DP-203You need to design an Azure Synapse Analytics dedicated SQL pool that meets the following requirements: ✑ Can return an employee record from a given point in time. ✑ Maintains the latest employee information. ✑ Minimizes query complexity. How should you model the employee data?
Admin Staff asked 4 months ago
You need to design an Azure Synapse Analytics dedicated SQL pool that meets the following requirements:
✑ Can return an employee record from a given point in time.
✑ Maintains the latest employee information.
✑ Minimizes query complexity.
How should you model the employee data?

A. as a temporal table

B. as a SQL graph table

C. as a degenerate dimension table

D. as a Type 2 slowly changing dimension (SCD) table








 

Suggested Answer: D

A Type 2 SCD supports versioning of dimension members. Often the source system doesn't store versions, so the data warehouse load process detects and manages changes in a dimension table. In this case, the dimension table must use a surrogate key to provide a unique reference to a version of the dimension member. It also includes columns that define the date range validity of the version (for example, StartDate and EndDate) and possibly a flag column (for example,
IsCurrent) to easily filter by current dimension members.
Reference:
https://docs.microsoft.com/en-us/learn/modules/populate-slowly-changing-dimensions-azure-synapse-analytics-pipelines/3-choose-between-dimension-types

This question is in DP-203 Data Engineering on Microsoft Azure Exam
For getting Microsoft Certified: Azure Data Engineer Associate Certificate


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