Exam Professional Machine Learning Engineer topic 1 question 7 discussion

A. Because BigQuery ML need to write code.

Data is inside BQML and BQ supports all ML jobs except hypertuning. as custom training and custom data is not requirement , BQML queries can manage job.

Automl is now Vertex AI Tabular Workflows

create a model without doing literally anything, logo AutoML. A.

A) Auto ML Tables doesn’t require code.

The question says 'over several structured datasets' means large/multiple datasets and 'several times' means frequently use of data. Though BigQuery ML is not an absolute 'NO Code' solution but all it needs is very simple SQL query to train ML model So 'B' could be the correct answer here but it is asking for Hyperparameter tuning which is not available in BigQuery ML so correct answer is 'A'

A - AutoML is no code

requirement : No code A. Configure AutoML Tables to perform the classification task. : No code B. Run a BigQuery ML task to perform logistic regression for the classification. : coding LR model C. Use AI Platform Notebooks to run the classification model with pandas library. : Notebooks include codes D. Use AI Platform to run the classification model job configured for hyperparameter tuning.: job needs to be written what to execute

Went with A

Because BigQueryML doesn't have lots of steps that mentioned in question

"without writing code" ==> AutoML A is correct

Correct answer is "A"

Correct answer is "A"

Because BigQuery ML need to write code, so A is the correct one

"without writing code" only A option complies with this statment , all other options requires writing code

A is correct

A is correct https://cloud.google.com/automl-tables/docs/beginners-guide