Google Professional Machine Learning Engineer
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In the context of a large e-commerce company looking to improve its recommendation system to enhance customer satisfaction and increase sales, which professional is primarily responsible for identifying the most suitable machine learning problem type to address this business challenge? Consider the need for scalability, cost-effectiveness, and the ability to process large volumes of data in real-time. Choose the best option.
A
DevOps Engineer, who ensures the seamless deployment and operation of the recommendation system in a cloud environment.
B
Quality Assurance Analyst, who focuses on testing the recommendation system for accuracy and reliability before deployment.
C
Data Engineer, who designs and implements the data pipelines necessary for feeding data into the recommendation system.
D
Google Cloud Professional Machine Learning Engineer, who identifies the appropriate machine learning problem type (e.g., collaborative filtering, content-based filtering) and selects the most suitable algorithms to meet the business objectives.