Online Access Free Databricks-Machine-Learning-Professional Practice Test

Which of the following machine learning model deployment paradigms is the most common for machine learning projects?

• A.On-device
• B.Batch
• C.None of these deployments
• D.Streaming
• E.Real-time

What tool helps avoid feature mismatch between training and inference?

• A.Spark SQL
• B.Feature Store
• C.MLflow Projects
• D.Model Registry

A machine learning engineer is monitoring label values for a production machine learning classification model. The engineer believes that the relative prevalence of the classes is becoming changing in more recent data. Which tool can the machine learning engineer use to assess their theory?

• A.Kolmogorov-Smirnov (KS) test
• B.One-way Chi-squared Test
• C.Two-way Chi-squared Test
• D.Jenson-Shannon distance

Which MLflow command logs a trained model?

• A.mlflow.log_model()
• B.mlflow.run()
• C.mlflow.start_run()
• D.mlflow.register_model()

A machine learning engineer has a machine learning pipeline where predictions are updated annually. The final prediction dataset contains millions of rows, and that dataset is irregularly accessed. Which solution should the machine learning engineer use to maintain cost efficiency?

• A.Cloud-based object storage
• B.Cloud-based in-memory instance of a Spark DataFrame
• C.Cloud-based low latency database
• D.On-premises low-latency database