Databricks-Machine-Learning-Professional無料問題集「Databricks Certified Machine Learning Professional」

質問 1

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?

（A）Replace predict with a stream-friendly prediction function

（B）Replace formatfdelta") with format("stream")

（C）Replace "inference" with the path to the location of the Delta table

（D）Replace spark.read with spark.readStream

（E）Replace schema(schema) with option("maxFilesPerTriqqer", 1}

正解：E 解答を投票する

質問 2

A machine learning engineer needs to deliver predictions of a machine learning model in real-time. However, the feature values needed for computing the predictions are available one week before the query time.
Which of the following is a benefit of using a batch serving deployment in this scenario rather than a real-time serving deployment where predictions are computed at query time?

（A）Testing is not possible in real-time serving deployments

（B）There is no advantage to using batch serving deployments over real-time serving deployments

（C）Computing predictions in real-time provides more up-to-date results

（D）Querying stored predictions can be faster than computing predictions in real-time

（E）Batch serving has built-in capabilities in Databricks Machine Learning

正解：E 解答を投票する

質問 3

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）

正解：D 解答を投票する

質問 4

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）log_metric

（B）log_model

（C）There is no way to store values like this.

（D）log_param

（E）log_artifact

正解：E 解答を投票する

質問 5

Which of the following describes the concept of MLflow Model flavors?

（A）A convention that MLflow Model Registry can use to version models

（B）A convention that deployment tools can use to understand the model

（C）A convention that MLflow Model Registry can use to organize its Models by project

（D）A convention that MLflow Experiments can use to organize their Runs by project

（E）A convention that deployment tools can use to wrap preprocessing logic into a Model

正解：D 解答を投票する

質問 6

Which of the following MLflow operations can be used to automatically calculate and log a Shapley feature importance plot?

（A）mlflow.shap.log_explanation

（B）mlflow.shap

（C）None of these operations can accomplish the task.

（D）client.log_artifact

（E）mlflow.log_figure

正解：B 解答を投票する

Databricks-Machine-Learning-Professional 無料問題集「Databricks Certified Machine Learning Professional」

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