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Databricks Databricks-Machine-Learning-Associate Exam Dumps
Databricks Certified Machine Learning Associate Exam
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Databricks Databricks-Machine-Learning-Associate Sample Questions
Question # 1A machine learning engineer has created a Feature Table new_table using Feature Store Client fs.When creating the table, they specified a metadata description with key information about theFeature Table. They now want to retrieve that metadata programmatically.Which of the following lines of code will return the metadata description?
A. There is no way to return the metadata description programmatically.
B. fs.create_training_set("new_table")
C. fs.get_table("new_table").description
D. fs.get_table("new_table").load_df()
E. fs.get_table("new_table")
Question # 2
A data scientist has a Spark DataFrame spark_df. They want to create a new Spark DataFrame thatcontains only the rows from spark_df where the value in column price is greater than 0.Which of the following code blocks will accomplish this task?
A. spark_df[spark_df["price"] > 0]
B. spark_df.filter(col("price") > 0)
C. SELECT * FROM spark_df WHERE price > 0
D. spark_df.loc[spark_df["price"] > 0,:]
E. spark_df.loc[:,spark_df["price"] > 0]
Question # 3
A health organization is developing a classification model to determine whether or not a patientcurrently has a specific type of infection. The organization's leaders want to maximize the number ofpositive cases identified by the model.Which of the following classification metrics should be used to evaluate the model?
A. RMSE
B. Precision
C. Area under the residual operating curve
D. Accuracy
E. Recall
Question # 4
In which of the following situations is it preferable to impute missing feature values with theirmedian value over the mean value?
A. When the features are of the categorical type
B. When the features are of the boolean type
C. When the features contain a lot of extreme outliers
D. When the features contain no outliers
E. When the features contain no missing no values