Why A is the answer

Model Garden

Model Garden is where you evaluate and choose models on Agent Platform.

In detail

• Model Garden is where you evaluate and choose models.
• Compare on your own data as well.

See it in different ways

stateDiagram-v2
  [*] --> Task
  Task --> PrebuiltApi: a common task
  Task --> BigQueryMl: data in BigQuery, SQL team
  Task --> AutoML: custom model, no code
  Task --> CustomTraining: your own code

flowchart LR
  S0["Define the task"] --> S1["Browse Model Garden"] --> S2["Test candidates"] --> S3["Select"]

Why the other options are wrong

B. The Model Monitoring dashboard for a deployed endpoint

That watches deployed models.

C. A Cloud Build trigger for the project

That runs builds.

D. A Colab Enterprise notebook's runtime settings

That is runtime configuration.

Related questions

• Question 1An analyst team that knows SQL needs a churn model from data already in BigQuery, as fast as possible. What fits?
• Question 9Which model type can BigQuery ML build?
• Question 13Where can you fine-tune Gemini models from your warehouse data?
• Question 14A team needs a custom tabular model with no ML code. What fits?

Learn more

• Our lesson: Low-code and collaboration
• ML in BigQuery
• Feature Store