Microsoft Fabric Analytics Engineer Associate DP-600
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As a Microsoft Fabric Analytics Engineer Associate, you are tasked with designing a comprehensive data analytics solution for a global supply chain management company aiming to optimize their inventory management process. The company operates in multiple regions and has a vast dataset comprising inventory levels, sales data, and supplier information across different formats and systems. Given the complexity and scale of the data, along with the need for real-time analytics to support decision-making, which of the following steps is MOST critical to initiate the planning of the data analytics environment? Choose the best option.
Explanation:
Identifying and documenting the key performance indicators (KPIs) is the most critical first step in planning the data analytics environment. This step ensures that the subsequent selection of data sources, processing tools, and visualization strategies is aligned with the business objectives of optimizing inventory management. Without a clear understanding of the KPIs, the analytics solution may not effectively address the company's needs, leading to suboptimal decision-making.