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Answer: Google Cloud Professional Machine Learning Engineer, Business Analyst
The Google Cloud Professional Machine Learning Engineer is best suited to determine the appropriate machine learning task due to their expertise in understanding business requirements and selecting suitable algorithms. The Business Analyst plays a crucial role by providing insights into the business context and customer behavior, which is essential for framing the problem correctly. Together, they ensure that the technical and business perspectives are aligned for effective problem-solving. Incorrect Options: - **Customer Support Representative**: While they have direct interaction with customers, their role does not involve defining machine learning problem types. - **Software Developer**: Their focus is on building and maintaining software applications, not on the formulation of machine learning problems. - **Data Engineer**: Although they manage data pipelines and infrastructure, their expertise is not primarily in determining the nature of machine learning tasks.
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A telecommunications company is experiencing high customer churn and wants to leverage machine learning to predict which customers are likely to churn. The company has a diverse dataset including customer usage patterns, service complaints, and billing history. The project team includes a Customer Support Representative, a Software Developer, a Business Analyst, and a Google Cloud Professional Machine Learning Engineer. Given the complexity of the dataset and the need for accurate predictions, which two roles are most critical in determining whether the problem should be approached as a classification, regression, or clustering task? Choose two correct options.
A
Customer Support Representative
B
Software Developer
C
Business Analyst
D
Google Cloud Professional Machine Learning Engineer
E
Data Engineer