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Get Databricks Databricks-Machine-Learning-Associate Exam Dumps

Databricks Certified Machine Learning Associate Exam Dumps

Last Updated : Jun 6, 2024
Total Questions : 74

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Last Updated : Jun 6, 2024
Total Questions : 74
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Last Updated : Jun 6, 2024
Total Questions : 74
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Following are some Databricks-Machine-Learning-Associate Exam Questions for Review

A new data scientist has started working on an existing machine learning project. The project is a scheduled Job that retrains every day. The project currently exists in a Repo in Databricks. The data scientist has been tasked with improving the feature engineering of the pipeline's preprocessing stage. The data scientist wants to make necessary updates to the code that can be easily adopted into the project without changing what is being run each day.

Which approach should the data scientist take to complete this task?

A machine learning engineer has identified the best run from an MLflow Experiment. They have stored the run ID in the run_id variable and identified the logged model name as "model". They now want to register that model in the MLflow Model Registry with the name "best_model".

Which lines of code can they use to register the model associated with run_id to the MLflow Model Registry?

A machine learning engineer has been notified that a new Staging version of a model registered to the MLflow Model Registry has passed all tests. As a result, the machine learning engineer wants to put this model into production by transitioning it to the Production stage in the Model Registry.

From which of the following pages in Databricks Machine Learning can the machine learning engineer accomplish this task?

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?









A machine learning engineer has grown tired of needing to install the MLflow Python library on each of their clusters. They ask a senior machine learning engineer how their notebooks can load the MLflow library without installing it each time. The senior machine learning engineer suggests that they use Databricks Runtime for Machine Learning.

Which of the following approaches describes how the machine learning engineer can begin using Databricks Runtime for Machine Learning?

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