Google Professional Machine Learning Engineer Question 16
Single answerGoogle Cloud PlatformYour organization wants to develop a machine learning model to predict customer churn for a subscription-based product. The goal is to reduce churn by identifying customers likely to leave and proactively engaging them with tailored offers. What is the most important first step to ensure the machine learning model addresses the business problem effectively?
- A
Define clear success metrics and evaluate how they align with business objectives.
- B
Start collecting all available customer data and begin training a model.
- C
Select a pre-trained churn prediction model from Google Cloud Marketplace.
- D
Deploy an AI Platform endpoint for real-time predictions.
Show answer and explanation
Correct answer: A
Explanation
Before building or deploying a machine learning solution, it's crucial to define success metrics that align with the business objectives. In this case, the success metrics might include the reduction in churn rate or increased customer retention. This step ensures that the machine learning model serves the intended purpose and delivers measurable business value.
- A. Correct.
Defining clear success metrics ensures alignment with business objectives and provides a way to measure the impact of the machine learning model. Without this step, the model's relevance to the business problem cannot be validated.
- B. Incorrect.
While data collection is important, starting with collecting all available data without a defined objective or metrics may lead to inefficiencies and irrelevant data being included.
- C. Incorrect.
Using a pre-trained model may not align with the specific needs of the business problem, as pre-trained models may not account for organizational-specific data or objectives.
- D. Incorrect.
Deploying an endpoint is part of the implementation phase, which should occur only after the problem has been well-defined and aligned with business goals.