Google Professional Machine Learning Engineer Question 18
Single answerGoogle Cloud PlatformA retail company wants to implement a machine learning model to improve customer satisfaction by reducing delivery delays. They have a dataset containing historical delivery data, including delivery times, customer satisfaction ratings, and logistical details. What is the most important first step to define the business problem in this scenario?
- A
Identify the specific business metric that needs to be improved and its current baseline.
- B
Start training a machine learning model using the historical delivery data.
- C
Deploy a pre-trained machine learning model to predict delivery delays.
- D
Focus on collecting more data from other departments, such as marketing and sales.
Show answer and explanation
Correct answer: A
Explanation
Defining the business problem is a crucial first step in a machine learning project. In this scenario, the company needs to focus on the specific business metric they aim to improve (e.g., delivery delays or customer satisfaction) and understand its current baseline. This ensures that the machine learning solution is designed to meet measurable goals and deliver business value. Starting model development or collecting unrelated data without a clear business objective can lead to ineffective or misaligned solutions.
- A. Correct.
Identifying the specific business metric to improve and its baseline is critical for framing the business problem and ensuring the solution aligns with measurable business goals.
- B. Incorrect.
Starting model training without clearly defining the business problem can lead to wasted effort and misaligned objectives.
- C. Incorrect.
Deploying a pre-trained model without defining the business problem may not address the specific challenges of this scenario.
- D. Incorrect.
While additional data can be useful, collecting data from unrelated departments like marketing and sales may not directly address the business problem of delivery delays.