
Answer-first summary for fast verification
Answer: Determine the data sources and formats for social media, customer reviews, and support tickets, such as social media APIs, review platforms, and support ticketing systems, before selecting any analytical tools.
The most critical initial step is to determine the data sources and formats. Understanding where and how the data is stored is foundational to selecting the right tools and techniques for analysis. Without this knowledge, any subsequent steps, such as selecting NLP techniques or designing visualization strategies, may not be effective or could lead to inefficiencies. This step ensures that the data analytics environment is built on a solid understanding of the data landscape, enabling more accurate and relevant insights.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
No comments yet.
As a Microsoft Fabric Analytics Engineer, you are tasked with designing a comprehensive data analytics solution for a retail company aiming to analyze customer feedback from diverse sources such as social media, customer reviews, and support tickets. The objective is to identify common themes and sentiments to enhance their products and services. Given the complexity of unstructured data and the need for actionable insights, which of the following steps is MOST critical to initially plan the data analytics environment effectively? (Choose one)
A
Identify the key themes and sentiments that the company wants to analyze in the customer feedback, without considering the data sources.
B
Determine the data sources and formats for social media, customer reviews, and support tickets, such as social media APIs, review platforms, and support ticketing systems, before selecting any analytical tools.
C
Select appropriate natural language processing (NLP) techniques and tools to analyze and extract insights from the unstructured text data, without a preliminary data assessment.
D
Design a data visualization strategy that can effectively communicate the identified themes and sentiments in the customer feedback, prior to data collection and analysis.
E
All of the above