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A machine learning engineer is in the process of implementing a feature drift monitoring solution. They are planning to use the following steps: 1. Measure the distributions of each feature variable in the training set 2. Deploy a model to production 3. Measure the distributions of each feature variable in inference 4. _______ Which action should be completed as Step #4?
Answer: D
A machine learning engineer needs to select a deployment strategy for a new machine learning application. The machine learning application requires central prediction computation and exceedingly fast results, but only a handful of predictions need to be computed at a time. Which deployment strategy can be used to meet these requirements?
Answer: B
Which of the following describes batch deployment for machine learning projects?
Answer: C
Which tool can assist in real-time deployments by packaging software with its own application, tools, and libraries?
Answer: C
A machine learning engineer has developed a random forest model using scikit-learn and registered the model using MLflow. They now want to deploy that model in parallel. Which of the following operations can they use to create a function they can use to deploy the registered scikit-learn model in parallel?
Answer: C
Which tool can be used to automatically start a testing Job when a new version of an MLflow Model Registry model is registered?
Answer: C
A data scientist is utilizing MLflow to track their machine learning experiments. After completing a run with run ID run_id for the experiment with experiment ID exp_id, the data scientist wants to programmatically return the logged metrics for run_id. They have an active MLflow Client client and an active Spark session spark. Which lines of code can be used to return the logged metrics for run_id?
Answer: C
Which or the following statements about built-in library-specific MLflow Model flavors is true?
Answer: B
A machine learning engineer has developed a machine learning pipeline that produces a scikit-learn model model and computes the RMSE rmse. MAE mae, and R-squared r2 values for the test set. They now want to log these values with the MLflow run. These values are stored in the dictionary metrics. They run the following code block:
The code block produces an error. Which changes to the code block will successfully complete the task?
Answer: C
A data scientist wants to examine the data in the Feature Store table table from the database dev as a Spark DataFrame. They have access to Feature Store Client fs. Which line of code can be used to gel the data from table as a Spark DataFrame?
Answer: B
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