Ultimate access to all questions.
As a Microsoft Fabric Analytics Engineer Associate, you are tasked with designing a data analytics solution for a healthcare organization aiming to leverage patient data for identifying trends and patterns in disease prevalence. The organization's dataset includes comprehensive patient records with demographic details, medical history, and treatment outcomes. The solution must adhere to strict compliance standards, ensure data privacy, and be scalable to accommodate future data growth. Considering these requirements, which of the following analytics techniques would you recommend to not only analyze the current dataset but also provide actionable insights for improving patient outcomes? Choose the best option.
A
Implement only descriptive analytics to summarize historical patient data, ensuring compliance and data privacy are maintained.
B
Utilize predictive analytics to forecast disease trends and treatment outcomes, while incorporating mechanisms for data privacy and scalability.
C
Apply prescriptive analytics to recommend specific interventions based on predictive models, with a focus on compliance and future scalability.
D
Combine descriptive, predictive, and prescriptive analytics to comprehensively analyze the data, ensure compliance, maintain data privacy, and scale as needed, thereby offering a holistic view and actionable insights.