DP-100Designing and Implementing a Data Science Solution on Azure
487 Questions and Answers Experienced specialists selected 487 questions for this exam. All answers are verified to ensure correctness.
Last Updated Apr 25, 2024 Ace your exams with our consistently updated DP-100 exam dumps.
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DP-100 Online Practice Questions and Answers
DRAG DROP
You are producing a multiple linear regression model in Azure Machine Learning Studio.
Several independent variables are highly correlated.
You need to select appropriate methods for conducting effective feature engineering on all the data.
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.
Select and Place:
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 a data scientist using Azure Machine Learning Studio.
You need to normalize values to produce an output column into bins to predict a target column.
Solution: Apply an Equal Width with Custom Start and Stop binning mode.
Does the solution meet the goal?
A. Yes
B. No
You are making use of the Azure Machine Learning to designer construct an experiment.
After dividing a dataset into training and testing sets, you configure the algorithm to be Two-Class Boosted Decision Tree.
You are preparing to ascertain the Area Under the Curve (AUC).
Which of the following is a sequential combination of the models required to achieve your goal?
A. Train, Score, Evaluate.
B. Score, Evaluate, Train.
C. Evaluate, Export Data, Train.
D. Train, Score, Export Data.
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Microsoft DP-100 exam official information: As a candidate for this exam, you should have subject matter expertise in applying data science and machine learning to implement and run machine learning workloads on Azure.
