DP-100 Exam Question 46

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You train a classification model by using a logistic regression algorithm.
You must be able to explain the model's predictions by calculating the importance of each feature, both as an overall global relative importance value and as a measure of local importance for a specific set of predictions.
You need to create an explainer that you can use to retrieve the required global and local feature importance values.
Solution: Create a TabularExplainer.
Does the solution meet the goal?
  • DP-100 Exam Question 47

    You need to visually identify whether outliers exist in the Age column and quantify the outliers before the outliers are removed.
    Which three Azure Machine Learning Studio modules should you use in sequence? To answer, move the appropriate modules from the list of modules to the answer area and arrange them in the correct order.

    DP-100 Exam Question 48

    Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
    After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
    You are analyzing a numerical dataset which contains missing values in several columns.
    You must clean the missing values using an appropriate operation without affecting the dimensionality of the feature set.
    You need to analyze a full dataset to include all values.
    Solution: Replace each missing value using the Multiple Imputation by Chained Equations (MICE) method.
    Does the solution meet the goal?
  • DP-100 Exam Question 49

    You are implementing a machine learning model to predict stock prices.
    The model uses a PostgreSQL database and requires GPU processing.
    You need to create a virtual machine that is pre-configured with the required tools.
    What should you do?
  • DP-100 Exam Question 50

    You need to define an evaluation strategy for the crowd sentiment models.
    Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.