Databricks Certified Machine Learning Associate - Databricks-Machine-Learning-Associate무료 덤프문제 풀어보기
A machine learning engineering team has a Job with three successive tasks. Each task runs a single notebook. The team has been alerted that the Job has failed in its latest run.
Which of the following approaches can the team use to identify which task is the cause of the failure?
Which of the following approaches can the team use to identify which task is the cause of the failure?
정답: A
설명: (Fast2test 회원만 볼 수 있음)
Which of the following approaches can be used to view the notebook that was run to create an MLflow run?
정답: B
설명: (Fast2test 회원만 볼 수 있음)
Which statement describes a Spark ML transformer?
정답: C
설명: (Fast2test 회원만 볼 수 있음)
A data scientist has a Spark DataFrame spark_df. They want to create a new Spark DataFrame that contains only the rows from spark_df where the value in column discount is less than or equal 0.
Which of the following code blocks will accomplish this task?
Which of the following code blocks will accomplish this task?
정답: B
설명: (Fast2test 회원만 볼 수 있음)
A data scientist is using Spark SQL to import their data into a machine learning pipeline. Once the data is imported, the data scientist performs machine learning tasks using Spark ML.
Which of the following compute tools is best suited for this use case?
Which of the following compute tools is best suited for this use case?
정답: D
설명: (Fast2test 회원만 볼 수 있음)
A 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 the Feature Table. They now want to retrieve that metadata programmatically.
Which of the following lines of code will return the metadata description?
Which of the following lines of code will return the metadata description?
정답: A
설명: (Fast2test 회원만 볼 수 있음)
Which of the following describes the relationship between native Spark DataFrames and pandas API on Spark DataFrames?
정답: B
설명: (Fast2test 회원만 볼 수 있음)
A data scientist has developed a linear regression model using Spark ML and computed the predictions in a Spark DataFrame preds_df with the following schema:
prediction DOUBLE
actual DOUBLE
Which of the following code blocks can be used to compute the root mean-squared-error of the model according to the data in preds_df and assign it to the rmse variable?
prediction DOUBLE
actual DOUBLE
Which of the following code blocks can be used to compute the root mean-squared-error of the model according to the data in preds_df and assign it to the rmse variable?
정답: D
설명: (Fast2test 회원만 볼 수 있음)