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

문제1

Which of the following describes concept drift?

A. Concept drift is when there is a change in the distribution of an input variable

B. None of these describe Concept drift

C. Concept drift is when there is a change in the distribution of a target variable

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

E. Concept drift is when there is a change in the relationship between input variables and target variables

정답: D

문제2

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?

A. There is no way to store values like this.

B. log_param

C. log_artifact

D. log_metric

E. log_model

정답: C

문제3

A data scientist would like to enable MLflow Autologging for all machine learning libraries used in a notebook. They want to ensure that MLflow Autologging is used no matter what version of the Databricks Runtime for Machine Learning is used to run the notebook and no matter what workspace-wide configurations are selected in the Admin Console.
Which of the following lines of code can they use to accomplish this task?

A. mlflow.spark.autolog()

B. mlflow.autolog()

C. spark.conf.set("autologging", True)

D. It is not possible to automatically log MLflow runs.

E. mlflow.sklearn.autolog()

정답: C

문제4

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. At the same time, they would like to archive any model versions that are already in the Production stage.
Which of the following code blocks can they use to accomplish the task?

A.

B.

C.

D.

정답: A

문제5

A machine learning engineer has developed a model and registered it using the FeatureStoreClient fs. The model has model URI model_uri. The engineer now needs to perform batch inference on customer-level Spark DataFrame spark_df, but it is missing a few of the static features that were used when training the model. The customer_id column is the primary key of spark_df and the training set used when training and logging the model.
Which of the following code blocks can be used to compute predictions for spark_df when the missing feature values can be found in the Feature Store by searching for features by customer_id?

A. df = fs.get_missing_features(spark_df, model_uri)
fs.score_batch(model_uri, df)
df = fs.get_missing_features(spark_df)

B. fs.score_batch(model_uri, df)

C. df = fs.get_missing_features(spark_df, model_uri)
fs.score_model(model_uri, df)

D. fs.score_model(model_uri, spark_df)

E. fs.score_batch(model_uri, spark_df)

정답: E

문제6

A machine learning engineer is attempting to create a webhook that will trigger a Databricks Job job_id when a model version for model model transitions into any MLflow Model Registry stage.
They have the following incomplete code block:

Which of the following lines of code can be used to fill in the blank so that the code block accomplishes the task?

A. "MODEL_VERSION_CREATED"

B. "MODEL_VERSION_TRANSITIONED_TO_PRODUCTION"

C. "MODEL_VERSION_TRANSITIONED_TO_STAGING", "MODEL_VERSION_TRANSITIONED_TO_PRODUCTION"

D. "MODEL_VERSION_TRANSITIONED_TO_STAGING"

E. "MODEL_VERSION_TRANSITIONED_STAGE"

정답: D

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

우리와 연락하기

유용한 링크

최신 업데이트