Google Professional Machine Learning Engineer
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Ultimate access to all questions.
You are managing a production system designed to predict sales numbers for a global retail chain, where model precision is crucial for adapting to rapid market changes and ensuring inventory optimization. Despite no modifications since deployment, the model's accuracy has been consistently declining over the past six months. The system processes data from multiple sources, including online transactions, in-store sales, and social media trends. Given the scenario, what is the most probable reason for this decline? Choose the best option.
Explanation:
The most probable reason for the decline in model accuracy is that the model has not been retrained to adapt to new market data (D), making it less accurate over time as market conditions change. Additionally, the model's lack of sufficient depth to capture the complexity of the data, especially with the inclusion of social media trends (A), could also contribute to the decline. However, the primary issue is the lack of retraining, which is critical for maintaining accuracy in dynamic markets.