Exam Cloud Digital Leader topic 1 question 280 discussion

Actual exam question from Google's Cloud Digital Leader

Question #: 280
Topic #: 1

A financial organization has many customers who close their accounts every year. The organization wants to use data and AI to identify at-risk customers, so they can retain customers by offering discounts and improved services. What should the organization do?

A. Create a dashboard of previous customers that have exited, and look for obvious correlations in the visualization.
B. Create a ML model based on the demographics and activities of previous customers that exited.
C. Create a survey for all customers to identify their current level of satisfaction.
D. Create a report based on last year’s customer feedback.

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Suggested Answer: B 🗳️

by joshnort at Jan. 22, 2025, 1:22 a.m.

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joshnort

5 months, 1 week ago

Selected Answer: B

B. Create a ML model based on the demographics and activities of previous customers that exited. By creating a machine learning (ML) model based on the demographics and activities of customers who have previously exited, the organization can identify patterns and trends that correlate with customers at risk of closing their accounts. The model can then be used to predict which current customers are at risk, enabling the organization to take proactive steps (e.g., offering discounts or improving services) to retain these customers.

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joshnort

5 months, 1 week ago

Why not the other options? A. Create a dashboard of previous customers that have exited, and look for obvious correlations in the visualization: While this can help with understanding patterns, a machine learning model is a more advanced and automated way to detect subtle correlations and make predictions, rather than relying on manual visual inspections. C. Create a survey for all customers to identify their current level of satisfaction: While surveys can gather valuable insights, they are reactive rather than predictive. A survey would not proactively identify at-risk customers based on historical data and behaviors. D. Create a report based on last year’s customer feedback: Reports based on past feedback can provide insights, but they lack the ability to proactively identify at-risk customers. A report alone will not offer predictive analytics to address future risks.

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