최신 Databricks-Machine-Learning-Professional 무료덤프 - Databricks Certified Machine Learning Professional

문제1

Which of the following tools can assist in real-time deployments by packaging software with its own application, tools, and libraries?

A. REST APIs

B. None of these tools

C. Cloud-based compute

D. Containers

E. Autoscaling clusters

정답: C

문제2

Which of the following MLflow Model Registry use cases requires the use of an HTTP Webhook?

A. Sending a message to a Slack channel when a model version transitions stages

B. None of these use cases require the use of an HTTP Webhook

C. Updating data in a source table for a Databricks SQL dashboard when a model version transitions to the Production stage

D. Starting a testing job when a new model is registered

E. Sending an email alert when an automated testing Job fails

정답: C

문제3

A machine learning engineer wants to move their model version model_version for the MLflow Model Registry model model from the Staging stage to the Production stage using MLflow Client client.
Which of the following code blocks can they use to accomplish the task?

A.

B.

C.

D.

E.

정답: E

문제4

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?

A. [Structured Streaming

B. AutoML

C. Spark UDFs

D. MLflow
D Delta Lake

정답: C

문제5

Which of the following describes label drift?

A. Label drift is when there is a change in the distribution of the predicted target given by the model

B. Label drift is when there is a change in the relationship between input variables and target variables

C. None of these describe label drift

D. Label drift is when there is a change in the distribution of a target variable

E. Label drift is when there is a change in the distribution of an input variable

정답: E

문제6

A data scientist set up a machine learning pipeline to automatically log a data visualization with each run. They now want to view the visualizations in Databricks.
Which of the following locations in Databricks will show these data visualizations?

A. The MLflow Model Registry Model paqe

B. The Figures section of the MLflow Run page

C. The Artifacts section of the MLflow Run page

D. Logged data visualizations cannot be viewed in Databricks

E. The Artifacts section of the MLflow Experiment page

정답: B

최신 Databricks-Machine-Learning-Professional 무료덤프 - Databricks Certified Machine Learning Professional

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