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As a Microsoft Fabric Analytics Engineer, you are tasked with designing a comprehensive data analytics solution for a global marketing agency. The agency aims to analyze the performance of their advertising campaigns across multiple channels, including social media, search engines, and display ads, to identify the most effective channels and optimize their ad spend. The solution must adhere to strict data privacy regulations, handle high volumes of data in real-time, and provide actionable insights through intuitive visualizations. Considering these requirements, which of the following steps is the MOST CRITICAL to initiate the planning of the data analytics environment? (Choose one option.)
A
Immediately start designing the data visualization dashboards to ensure the marketing team can quickly access campaign performance insights.
B
Focus solely on selecting the most advanced data processing tools available, without considering the specific data sources or KPIs, to handle the high volume and velocity of data.
C
First, identify and agree upon the key performance indicators (KPIs) for advertising campaign performance, such as click-through rates, conversion rates, and return on ad spend (ROAS), to ensure the analytics solution aligns with business objectives.
D
Skip the data source identification step and proceed directly to data processing, assuming all data sources will be compatible with the chosen analytics tools.
E
All of the above