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Exam Professional Machine Learning Engineer All Questions

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Exam Professional Machine Learning Engineer topic 1 question 111 discussion

Actual exam question from Google's Professional Machine Learning Engineer
Question #: 111
Topic #: 1
[All Professional Machine Learning Engineer Questions]

You need to build classification workflows over several structured datasets currently stored in BigQuery. Because you will be performing the classification several times, you want to complete the following steps without writing code: exploratory data analysis, feature selection, model building, training, and hyperparameter tuning and serving. What should you do?

  • A. Train a TensorFlow model on Vertex AI.
  • B. Train a classification Vertex AutoML model.
  • C. Run a logistic regression job on BigQuery ML.
  • D. Use scikit-learn in Notebooks with pandas library.
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Suggested Answer: B 🗳️
by mymy9418 at Dec. 18, 2022, 2:08 a.m.

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hiromi
Highly Voted 1 year, 10 months ago
Selected Answer: B
B (similar to question 7)
upvoted 8 times
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fitri001
Most Recent 6 months ago
Selected Answer: B
Vertex AutoML is a Google Cloud Platform service designed for building machine learning models without writing code.expand_more It automates various stages of the machine learning pipeline, including those you mentioned: Exploratory data analysis Feature selection Model building (supports various classification algorithms) Training Hyperparameter tuning
upvoted 2 times
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M25
1 year, 5 months ago
Selected Answer: B
Went with B
upvoted 1 times
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TNT87
1 year, 7 months ago
Selected Answer: B
Answer B
upvoted 1 times
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ares81
1 year, 9 months ago
Selected Answer: B
A and D need coding. C is regression, not classification. Hence B.
upvoted 1 times
ares81
1 year, 9 months ago
My mistake, it's logistic regression, meaning classification. But it still requires some coding. So still B.
upvoted 3 times
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mymy9418
1 year, 10 months ago
Selected Answer: B
BQML will need coding only AutoML in Vertex AI is codeless from end to end
upvoted 3 times
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