Answer-first summary for fast verification
Answer: Leverage Azure Analysis Services to build a semantic model over the Fabric environment, then use Power BI to connect to this model for creating interactive reports and dashboards, ensuring a unified and optimized data view.
Option B is the correct answer because it addresses all the given requirements effectively. By using Azure Analysis Services to create a semantic model, it provides a unified and optimized view of the data, which is crucial for interactive and insightful reporting. Power BI's integration with this model ensures that the reports and dashboards are not only interactive but also scalable and cost-efficient. Option A misses the opportunity to optimize the data model for better performance and insights. Option C introduces unnecessary complexity and cost by adding an extra data processing layer. Option D focuses on monitoring rather than fulfilling the business's data visualization needs.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
No comments yet.
As a Microsoft Fabric Analytics Engineer Associate, you are tasked with implementing a comprehensive data visualization and reporting solution within your organization's Fabric environment. The solution must meet the following requirements: 1) Provide interactive reports and dashboards that offer deep insights into the data. 2) Ensure seamless integration with the existing Fabric environment without disrupting current operations. 3) Optimize for cost-efficiency and scalability to accommodate future data growth. Considering these requirements, which of the following approaches would BEST fulfill the organization's needs? (Choose one option.)
A
Directly use Power BI to connect to the Fabric environment for creating interactive reports and dashboards, focusing solely on visualization capabilities.
B
Leverage Azure Analysis Services to build a semantic model over the Fabric environment, then use Power BI to connect to this model for creating interactive reports and dashboards, ensuring a unified and optimized data view.
C
Implement Azure Data Factory pipelines to ingest data from the Fabric environment into a separate storage solution, then use Power BI for reporting, adding an extra layer of data processing.
D
Utilize Azure Monitor and Azure Application Insights to track the Fabric environment's performance and generate reports, focusing on operational metrics rather than business data insights.