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Which of the following describes concept drift?
Which of the following describes concept drift?A . Concept drift is when there is a change in the distribution of an input variableB . Concept drift is when there is a change in the distribution of a target variableC . Concept drift is when there is a change in the...
Which of the following is a probable response to identifying drift in a machine learning application?
Which of the following is a probable response to identifying drift in a machine learning application?A . None of these responsesB . Retraining and deploying a model on more recent dataC . All of these responsesD . Rebuilding the machine learning application with a new label variableE . Sunsetting the...
Which of the following operations in Feature Store Client fs can be used to return a Spark DataFrame of a data set associated with a Feature Store table?
Which of the following operations in Feature Store Client fs can be used to return a Spark DataFrame of a data set associated with a Feature Store table?A . fs.create_tableB . fs.write_tableC . fs.get_tableD . There is no way to accomplish this task with fsE . fs.read_tableView AnswerAnswer: A
Which of the following operations in Feature Store Client fs can be used to return a Spark DataFrame of a data set associated with a Feature Store table?
Which of the following operations in Feature Store Client fs can be used to return a Spark DataFrame of a data set associated with a Feature Store table?A . fs.create_tableB . fs.write_tableC . fs.get_tableD . There is no way to accomplish this task with fsE . fs.read_tableView AnswerAnswer: A
Which of the following operations in Feature Store Client fs can be used to return a Spark DataFrame of a data set associated with a Feature Store table?
Which of the following operations in Feature Store Client fs can be used to return a Spark DataFrame of a data set associated with a Feature Store table?A . fs.create_tableB . fs.write_tableC . fs.get_tableD . There is no way to accomplish this task with fsE . fs.read_tableView AnswerAnswer: A
Which of the following changes does the data scientist need to make to the above code block so that it successfully nests the child runs under the parent run in MLflow?
A data scientist is using MLflow to track their machine learning experiment. As a part of each MLflow run, they are performing hyperparameter tuning. The data scientist would like to have one parent run for the tuning process with a child run for each unique combination of hyperparameter values. They...
Which of the following code blocks accomplishes this task?
A data scientist wants to remove the star_rating column from the Delta table at the location path. To do this, they need to load in data and drop the star_rating column. Which of the following code blocks accomplishes this task?A . spark.read.format(“delta”).load(path).drop(“star_rating”)B . spark.read.format(“delta”).table(path).drop(“star_rating”)C . Delta tables cannot be modifiedD...
Which of the following is a simple, low-cost method of monitoring numeric feature drift?
Which of the following is a simple, low-cost method of monitoring numeric feature drift?A . Jensen-Shannon testB . Summary statistics trendsC . Chi-squared testD . None of these can be used to monitor feature driftE . Kolmogorov-Smirnov (KS) testView AnswerAnswer: B
Which of the following tools can the machine learning engineer use to assess their theory?
Which of the following tools can the machine learning engineer use to assess their theory?A . Kolmogorov-Smirnov (KS) testB . One-way Chi-squared TestC . Two-way Chi-squared TestD . Jenson-Shannon distanceE . None of theseView AnswerAnswer: B
Which of the following describes label drift?
Which of the following describes label drift?A . Label drift is when there is a change in the distribution of the predicted target given by the modelB . None of these describe label driftC . Label drift is when there is a change in the distribution of an input variableD...
