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Pass Microsoft DP-100 Certification with Ease Using ExamsTorrent Exam Questions

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The DP-100 exam is a challenging certification exam that requires a solid understanding of data science concepts and hands-on experience with Azure services. However, passing DP-100 exam can open up many career opportunities for professionals in the data science field. Successful candidates will be able to demonstrate their expertise in designing and implementing data science solutions on Azure, which is a highly sought-after skill in today's job market.

Microsoft DP-100 Certification Exam is a highly regarded certification in the field of data science. DP-100 exam is designed to test the candidate's expertise in designing and implementing data science solutions on Microsoft Azure. Candidates who pass the exam will be able to demonstrate their ability to design and implement data science solutions on Microsoft Azure, which can open up new career opportunities in the field of data science.

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The second format of Designing and Implementing a Data Science Solution on Azure (DP-100) is the web-based practice exam that can be taken online through browsers like Firefox, Chrome, Safari, MS Edge, Internet Explorer, and Microsoft Edge. You don't need to install any excessive plugins or Software to attempt the web-based Practice DP-100 Exam. All operating systems also support the web-based practice exam.

Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions (Q45-Q50):

NEW QUESTION # 45
You need to set up the Permutation Feature Importance module according to the model training requirements.
Which properties should you select? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: Accuracy
Scenario: You want to configure hyperparameters in the model learning process to speed the learning phase by using hyperparameters. In addition, this configuration should cancel the lowest performing runs at each evaluation interval, thereby directing effort and resources towards models that are more likely to be successful.
Box 2: R-Squared

NEW QUESTION # 46
You create a new Azure subscription. No resources are provisioned in the subscription.
You need to create an Azure Machine Learning workspace.
What are three possible ways to achieve this goal? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. Navigate to Azure Machine Learning studio and create a workspace.
B. Use an Azure Resource Management template that includes a Microsoft.MachineLearningServices/ workspaces resource and its dependencies.
C. Run Python code that uses the Azure ML SDK library and calls the Workspace.get method with name, subscription_id, and resource_group parameters.
D. Run Python code that uses the Azure ML SDK library and calls the Workspace.create method with name, subscription_id, resource_group, and location parameters.
E. Use the Azure Command Line Interface (CLI) with the Azure Machine Learning extension to call the az group create function with --name and --location parameters, and then the az ml workspace create function, specifying -w and -g parameters for the workspace name and resource group.

Answer: A,B,E

Explanation:
Explanation
B: You can use an Azure Resource Manager template to create a workspace for Azure Machine Learning.
Example:
{"type": "Microsoft.MachineLearningServices/workspaces",
...
C: You can create a workspace for Azure Machine Learning with Azure CLI Install the machine learning extension.
Create a resource group: az group create --name <resource-group-name> --location <location> To create a new workspace where the services are automatically created, use the following command: az ml workspace create -w <workspace-name> -g <resource-group-name> D: You can create and manage Azure Machine Learning workspaces in the Azure portal.
Sign in to the Azure portal by using the credentials for your Azure subscription.
In the upper-left corner of Azure portal, select + Create a resource.
Use the search bar to find Machine Learning.
Select Machine Learning.
In the Machine Learning pane, select Create to begin.

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-workspace-template
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-manage-workspace-cli
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-manage-workspace

NEW QUESTION # 47
You are building a regression model tot estimating the number of calls during an event.
You need to determine whether the feature values achieve the conditions to build a Poisson regression model.
Which two conditions must the feature set contain? I ach correct answer presents part of the solution. NOTE:
Each correct selection is worth one point.

A. The label data must be a positive value
B. The label data must be non discrete.
C. The label data can be positive or negative,
D. The data must be whole numbers.
E. The label data must be a negative value.

Answer: A,D

Explanation:
Poisson regression is intended for use in regression models that are used to predict numeric values, typically counts. Therefore, you should use this module to create your regression model only if the values you are trying to predict fit the following conditions:
* The response variable has a Poisson distribution.
* Counts cannot be negative. The method will fail outright if you attempt to use it with negative labels.
* A Poisson distribution is a discrete distribution; therefore, it is not meaningful to use this method with non-whole numbers.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/poisson-regression

NEW QUESTION # 48
You are creating a new experiment in Azure Machine Learning Studio. You have a small dataset that has missing values in many columns. The data does not require the application of predictors for each column. You plan to use the Clean Missing Data module to handle the missing data.
You need to select a data cleaning method.
Which method should you use?

A. Synthetic Minority Oversampling Technique (SMOTE)
B. Normalization
C. Replace using; Probabilistic PCA
D. Replace using MICE

Answer: A

NEW QUESTION # 49
You create an Azure Machine Learning workspace. You are training a classification model with no-code AutoML in Azure Machine Learning studio.
The model must predict if a client of a financial institution will subscribe to a fixed-term deposit. You must identify the feature that has the most influence on the predictions of the model for the second highest scoring algorithm. You must minimize the effort and time to identify the feature.
You need to complete the identification.
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.

Answer:

Explanation:

1 - Select teh second algotithm on the list..
2 - Select the Explain model option.
3 - Display the aggregate feature importance chart.

NEW QUESTION # 50
......

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