pl-300 Practice Question 1935
Exam: pl-300
Domain: Visualize and analyze the data
Topic: Identify patterns and trends
Difficulty: medium
In a scenario where you are analyzing customer churn in an Azure Synapse Analytics environment, you want to identify key influencers contributing to the churn rate. Which of the following would best help you achieve this using the Decomposition Tree pattern? Assume you have access to customer data including demographics, purchase history, and customer service interactions.
Answer Options
A
Using a simple pivot table to summarize churn rates by customer segment
B
Applying the Decomposition Tree to break down churn factors into demographic, purchase history, and customer service interactions
C
Implementing a machine learning model without segmenting the data
D
Creating a dashboard with visualizations of overall churn rate trends
Correct Answer
B: Applying the Decomposition Tree to break down churn factors into demographic, purchase history, and customer service interactions
Explanation
The Decomposition Tree pattern helps in breaking down complex problems into smaller, more manageable parts. In this case, it can be used to isolate and analyze different factors that contribute to customer churn. Option B is correct because it directly applies the Decomposition Tree to break down the problem into specific segments (e.g., demographic factors, purchase history, customer service interactions) to identify key influencers. Options A, C, and D do not specifically apply the Decomposition Tree pattern to the problem at hand.