Databricks Machine Learning Questions
Practice questions for Databricks Machine Learning topic in Databricks Certified Machine Learning Associate. 76 questions covering this domain.
What is the purpose of the Databricks Feature Store?
What is the primary advantage of using Databricks Runtime for Machine Learning (Databricks Runtime ML) over standard Databricks Runtime for ML workloa...
When a model trained with Databricks Feature Store is deployed for real-time serving, how does it retrieve feature values at inference time?
To configure MLflow to log runs to a remote Databricks workspace, which function call is required?
Which Python method in the MLflow Client API is used to transition a registered model version to a different lifecycle stage in the Workspace Model Re...
Which catalog system must be enabled in a Databricks workspace to use Databricks Feature Store?
A data scientist wants to store sparse embeddings (where most values are zero) in a Databricks Feature Store feature table. Which PySpark data type is...
Which PySpark data type should be used to store dense embedding vectors in a Databricks Feature Store feature table?
A data scientist wants to use Databricks AutoML to train a model that predicts future product demand over the next 30 days based on historical sales d...
Which of the following problem types is NOT supported by Databricks AutoML?
Which AutoML forecasting algorithm uses a decomposable time series model designed for business forecasting with trend, seasonality, and holiday effect...
Which MLflow function enables automatic logging of parameters, metrics, and models for supported libraries like scikit-learn and XGBoost with a single...
In Unity Catalog, what is the three-level namespace format used to reference a registered model?
In MLflow, what is the hierarchical relationship between experiments and runs?
What is the difference between a workspace experiment and a notebook experiment in MLflow on Databricks?
What does `mlflow.search_runs()` return by default?
A data scientist runs Databricks AutoML on a classification dataset and the experiment completes. Which notebooks are automatically imported into the ...
In the Workspace Model Registry, what is the initial stage assigned to a newly registered model version?
Which code correctly sets the active MLflow experiment to a workspace path?
Which MLflow component is specifically designed to manage the lifecycle of registered models from staging through production and archiving?
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