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Professional Machine Learning Engineer

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Topic 1 Question 38
You have trained a text classification model in TensorFlow using AI Platform. You want to use the trained model for batch predictions on text data stored in BigQuery while minimizing computational overhead. What should you do?
- Export the model to BigQuery ML.
- Deploy and version the model on AI Platform.
- Use Dataflow with the SavedModel to read the data from BigQuery.
- Submit a batch prediction job on AI Platform that points to the model location in Cloud Storage.
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コメント(17)
- A. You would want to minimize computational overhead–BigQuery minimizes such overhead
  
  👍 17
  maartenalexander2021/06/22
- I think it's A https://cloud.google.com/bigquery-ml/docs/making-predictions-with-imported-tensorflow-models#importing_models
  
  👍 9
  chohan2021/06/18
- 正解だと思う選択肢: A
  CREATE OR REPLACE MODEL example_dataset.imported_tf_model OPTIONS (MODEL_TYPE='TENSORFLOW', MODEL_PATH='gs://cloud-training-demos/txtclass/export/exporter/1549825580/*')
  
  👍 3
  NamitSehgal2022/01/01
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