Microsoft Fabric Analytics Engineer Associate DP-600
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In a data transformation project within Microsoft Fabric Analytics, you are tasked with implementing a data integration process to consolidate data from multiple source systems into a single target system. The project has strict compliance requirements, must be cost-effective, and needs to handle large volumes of data efficiently. Considering these constraints, which of the following is the MOST comprehensive set of key considerations to evaluate when designing the integration logic? (Choose one option.)
A
Only the data formats and structures of the source systems and the target system, to ensure technical compatibility.
B
The data quality and consistency across the source systems, along with the performance requirements of the project, to ensure data accuracy and meet SLA.
C
The expected data integration time and the cost implications of the integration process, to ensure the project stays within budget and timeline.
D
The data formats and structures, data quality and consistency, performance requirements, expected integration time, and cost implications, to ensure a holistic approach to the integration process.