Question 71 · 88 in bank
Which of the following describes label drift?
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Answer: E
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Question 72 · 88 in bank
A machine learning engineering team wants to build a continuous pipeline for data preparation of a machine learning application. The team would like the data to be fully processed and made ready for inference in a series of equal-sized batches. Which of the following tools can be used to provide this type of continuous processing?
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Answer: B
Question 73 · 88 in bank
A data scientist has computed updated feature values for all primary key values stored in the Feature Store table features. In addition, feature values for some new primary key values have also been computed. The updated feature values are stored in the DataFrame features_df. They want to replace all data in features with the newly computed data. Which of the following code blocks can they use to perform this task using the Feature Store Client fs?
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Answer: D
Question 74 · 88 in bank
A data scientist is utilizing MLflow to track their machine learning experiments. After completing a series of runs for the experiment with experiment ID exp_id, the data scientist wants to programmatically work with the experiment run data in a Spark DataFrame. They have an active MLflow Client client and an active Spark session spark. Which of the following lines of code can be used to obtain run-level results for exp_id in a Spark DataFrame?
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Answer: E
Question 75 · 88 in bank
Which of the following is a probable response to identifying drift in a machine learning application?
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Answer: B
Question 76 · 88 in bank
Which of the following machine learning model deployment paradigms is the most common for machine learning projects?
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Answer: D
Question 77 · 88 in bank
A data scientist has developed a model model and computed the RMSE of the model on the test set. They have assigned this value to the variable rmse. They now want to manually store the RMSE value with the MLflow run. They write the following incomplete code block:
Which of the following lines of code can be used to fill in the blank so the code block can successfully complete the task?
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Answer: C
Question 78 · 88 in bank
Which of the following MLflow operations can be used to automatically calculate and log a Shapley feature importance plot?
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Answer: A
Question 79 · 88 in bank
A data scientist has written a function to track the runs of their random forest model. The data scientist is changing the number of trees in the forest across each run. Which of the following MLflow operations is designed to log single values like the number of trees in a random forest?
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Answer: D
Question 80 · 88 in bank
A machine learning engineer is using the following code block as part of a batch deployment pipeline:
Which of the following changes needs to be made so this code block will work when the inference table is a stream source?
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Answer: C
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