Professional-Data-Engineer Exam Dumps | Which TensorFlow function can you use to configure a categorical column if you don't know all of the

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Google.Professional-Data-Engineer.v2024-07-17.q150
Question 109

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Question 109/150

Which TensorFlow function can you use to configure a categorical column if you don't know all of the possible values for that column?

A. categorical_column_with_vocabulary_list

B. categorical_column_with_hash_bucket

C. categorical_column_with_unknown_values

D. sparse_column_with_keys

Correct Answer: B

If you know the set of all possible feature values of a column and there are only a few of them, you can use categorical_column_with_vocabulary_list. Each key in the list will get assigned an auto-incremental ID starting from 0.
What if we don't know the set of possible values in advance? Not a problem. We can use categorical_column_with_hash_bucket instead. What will happen is that each possible value in the feature column occupation will be hashed to an integer ID as we encounter them in training.
Reference: https://www.tensorflow.org/tutorials/wide

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