Free Databricks Databricks-Machine-Learning-Professional Exam Dumps Questions & Answers

A machine learning engineer needs to select a deployment strategy for a new machine learning application. The feature values are not available until the time of delivery, and results are needed exceedingly fast for one record at a time. Which of the following deployment strategies can be used to meet these requirements?

• A.Streaming
• B.None of these strategies will meet the requirements.
• C.Real-time
• D.Edge/on-device
• E.Batch

A machine learning engineer has registered a sklearn model in the MLflow Model Registry using the sklearn model flavor with UI model_uri. Which operation can be used to load the model as an sklearn object for batch deployment?

• A.mlflow.pyfunc.load_model(model_uri)
• B.mlflow.spark.load_model(model_uri)
• C.mlflow.pyfunc.read_model(model_uri)
• D.mlflow.sklearn.read_model(model_uri)
• E.mlflow.sklearn.load_model(model_uri)

A machine learning engineer has deployed a model recommender using MLflow Model Serving.
They now want to query the version of that model that is in the Staging stage of the MLflow Model Registry. Which model URI can be used to query the described model version?

• A.https://<databricks-instance>/model/recommender/Staging/invocations
• B.The version number of the model version in Production is necessary to complete this task.
• C.It is not possible to query a model version in the Staging stage.
• D.https://<databricks-instance>/model-serving/recommender/Staging/invocations

A Machine Learning Engineer has a large dataset with a customer_region column and wants to train separate models for each region, then generate predictions. They need to parallelize this group-specific model training process using Databricks and the Pandas Function API. Which approach will implement this solution?

• A.Use foreachBatch() to sequentially process each region's data.
• B.Use mapInPandas() to apply the training function across all partitions without grouping.
• C.Use groupBy("customer_region") and apply a training function with applyInPandas().
• D.Use collect() to gather all data and process regions using standard pandas groupby.

A machine learning engineer is monitoring categorical input variables for a production machine learning application. The engineer believes that missing values are becoming more prevalent in more recent data for a particular value in one of the categorical input variables. Which of the following tools can the machine learning engineer use to assess their theory?

• A.Kolmogorov-Smirnov (KS) test
• B.Two-way Chi-squared Test
• C.One-way Chi-squared Test
• D.None of these
• E.Jenson-Shannon distance