Databricks Certified Machine Learning Associate45 questions across 5 pages are complete and free, with no account or card.
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A data scientist is developing a machine learning pipeline using AutoML on Databricks Machine Learning. Which of the following steps will the data scientist need to perform outside of their AutoML experiment?
Answer: C
A data scientist is utilizing MLflow Autologging to automatically track their machine learning experiments. After completing a series of runs for the experiment experiment_id, the data scientist wants to identify the run_id of the run with the best root-mean-square error (RMSE). Which of the following lines of code can be used to identify the run_id of the run with the best RMSE in experiment_id?
Answer: C
A machine learning engineer is trying to perform batch model inference. They want to get predictions using the linear regression model saved at the path model_uri for the DataFrame batch_df. batch_df has the following schema: customer_id STRING The machine learning engineer runs the following code block to perform inference on batch_df using the linear regression model at model_uri:
In which situation will the machine learning engineer’s code block perform the desired inference?
Answer: A
A data scientist wants to use Spark ML to impute missing values in their PySpark DataFrame features_df. They want to replace missing values in all numeric columns in features_df with each respective numeric column’s median value. They have developed the following code block to accomplish this task:
The code block is not accomplishing the task. Which reasons describes why the code block is not accomplishing the imputation task?
Answer: D
A data scientist wants to use Spark ML to one-hot encode the categorical features in their PySpark DataFrame features_df. A list of the names of the string columns is assigned to the input_columns variable. They have developed this code block to accomplish this task:
The code block is returning an error. Which of the following adjustments does the data scientist need to make to accomplish this task?
Answer: C
A data scientist is wanting to explore the Spark DataFrame spark_df. The data scientist wants visual histograms displaying the distribution of numeric features to be included in the exploration. Which of the following lines of code can the data scientist run to accomplish the task?
Answer: E
A data scientist uses 3-fold cross-validation and the following hyperparameter grid when optimizing model hyperparameters via grid search for a classification problem: Hyperparameter 1: [2, 5, 10] Hyperparameter 2: [50, 100] Which of the following represents the number of machine learning models that can be trained in parallel during this process?
Answer: D
A data scientist has a Spark DataFrame spark_df. They want to create a new Spark DataFrame that contains only the rows from spark_df where the value in column discount is less than or equal 0. Which of the following code blocks will accomplish this task?
Answer: C
A data scientist has developed a machine learning pipeline with a static input data set using Spark ML, but the pipeline is taking too long to process. They increase the number of workers in the cluster to get the pipeline to run more efficiently. They notice that the number of rows in the training set after reconfiguring the cluster is different from the number of rows in the training set prior to reconfiguring the cluster. Which of the following approaches will guarantee a reproducible training and test set for each model?
Answer: B
A data scientist is calculating the importance of features as a part of an MLflow run. The feature importance values are being stored in the pandas DataFrame importance_df and being written as a CSV to the DBFS location importance_path. They would like to log these values with their active MLflow run. Which of the following lines of code can the data scientist use to log the feature importance values with their active MLflow run?
Answer: C
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ML-ASSOC practice, question 31. 45 questions available.
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