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

質問 1

A machine learning engineer has registered a sklearn model in the MLflow Model Registry using the sklearn model flavor with UI model_uri.
Which of the following operations can be used to load the model as an sklearn object for batch deployment?

（A）mlflow.pyfunc.read_model(model_uri)

（B）mlflow.pyfunc.load_model(model_uri)

（C）mlflow.sklearn.load_model(model_uri)

（D）mlflow.spark.load_model(model_uri)

（E）mlflow.sklearn.read_model(model_uri)

正解：B 解答を投票する

質問 2

A data scientist has written a function to track the runs of their random forest model. The data scientist is changing the number of trees in the forest across each run.
Which of the following MLflow operations is designed to log single values like the number of trees in a random forest?

（A）mlflow.log_artifact

（B）mlflow.log_param

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

（D）mlflow.log_metric

（E）mlflow.log_model

正解：D 解答を投票する

質問 3

Which of the following is a benefit of logging a model signature with an MLflow model?

（A）The schema of input data can be validated when serving models

（B）The model will be secured by the user that developed it

（C）The model can be deployed using real-time serving tools

（D）The model will have a unique identifier in the MLflow experiment

（E）The schema of input data will be converted to match the signature

正解：E 解答を投票する

質問 4

A machine learning engineer is monitoring categorical input variables for a production machine learning application. The engineer believes that missing values are becoming more prevalent in more recent data for a particular value in one of the categorical input variables.
Which of the following tools can the machine learning engineer use to assess their theory?

（A）None of these

（B）Two-way Chi-squared Test

（C）Kolmogorov-Smirnov (KS) test

（D）One-way Chi-squared Test

（E）Jenson-Shannon distance

正解：D 解答を投票する

質問 5

Which of the following is a reason for using Jensen-Shannon (JS) distance over a Kolmogorov-Smirnov (KS) test for numeric feature drift detection?

（A）All of these reasons

（B）JS is not normalized or smoothed

（C）JS is more robust when working with large datasets

（D）JS does not require any manual threshold or cutoff determinations

（E）None of these reasons

正解：C 解答を投票する

質問 6

A machine learning engineering manager has asked all of the engineers on their team to add text descriptions to each of the model projects in the MLflow Model Registry. They are starting with the model project "model" and they'd like to add the text in the model_description variable.
The team is using the following line of code:

Which of the following changes does the team need to make to the above code block to accomplish the task?

（A）Add a Python model as an argument to update_registered_model

（B）Replace description with artifact

（C）Replace client.update_registered_model with mlflow

（D）Replace update_registered_model with update_model_version

（E）There no changes necessary

正解：E 解答を投票する

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

弊社を連絡する

関連リンク

トップ試験