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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #59

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #59: Real Exam Question with Answer & Explanation

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Submitted by minji_kr· Apr 18, 2026ML model development

Question

You work for a large retailer. You want to use ML to forecast future sales leveraging 10 years of historical sales data. The historical data is stored in Cloud Storage in Avro format. You want to rapidly experiment with all the available data. How should you build and train your model for the sales forecast?

Options

  • ALoad data into BigQuery and use the ARIMA model type on BigQuery ML.
  • BConvert the data into CSV format and create a regression model on AutoML Tables.
  • CConvert the data into TFRecords and create an RNN model on TensorFlow on AI Platform
  • DConvert and refactor the data into CSV format and use the built-in XGBoost algorithm on AI

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Topics

#Time-series forecasting#BigQuery ML#Data ingestion#Model selection
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