Exam Professional Machine Learning Engineer topic 1 question 252 discussion

Option B because there's no mention of "flexibility". Easy access to viz tools with Looker

Going for D

Option D is the answer given by an official Google trainer.

Simple training and integration with visualization tools = BQ

As requested :" simplest approach", the option B is the best choice.

D Vertex AI Workbench notebook: Provides an environment for data analysis, model building, and visualization tools all in one place. IPython magics: Allows seamless interaction with BigQuery for data exploration and feature creation directly within the notebook. CREATE MODEL statement: Enables model creation within the notebook environment, simplifying the workflow. ML.EVALUATE and ML.PREDICT statements: Facilitate model validation directly within the notebook for assessing performance.

B. Use Bigquery ML Features to create, evaluate and predict

As requested :" simplest approach", the option B is the best choice.

Forgot to vote.

Simplest approach that allows visualization is option B.

all the other options create a new BQ table, I don't think it's needed.

Option B: While AutoML simplifies model selection and training, it lacks the flexibility and visualization capabilities of Vertex AI Workbench. Option C: Manually saving features as CSV files and importing them back into BigQuery involves unnecessary data movement and complexity. Option D: Completing all steps within the notebook is possible but requires more coding and might not be as intuitive for those less familiar with BigQuery ML syntax.