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[General] DP-100 Vce Exam - Mock DP-100 Exams

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【General】 DP-100 Vce Exam - Mock DP-100 Exams

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To prepare for the DP-100 exam, candidates can take instructor-led training courses, self-paced online courses, and practice tests. Microsoft offers several training courses that cover the exam objectives, including "Designing and Implementing a Data Science Solution on Azure" and "Implementing an Azure Data Solution." Candidates can also access online resources such as Microsoft documentation and GitHub repositories to learn about Azure technologies and data science concepts.
The DP-100 Exam covers a wide range of topics, including data exploration, data preparation, modeling, and deployment. You will need to understand key Azure technologies such as Azure Machine Learning, Azure Databricks, and Azure Cosmos DB, as well as programming languages like Python and R. You will also need to be familiar with data storage and processing, data visualization, and machine learning techniques.
Mock DP-100 Exams & DP-100 Study DumpsFor the Designing and Implementing a Data Science Solution on Azure (DP-100) web-based practice exam no special software installation is required. Because it is a browser-based Designing and Implementing a Data Science Solution on Azure (DP-100) practice test. The web-based Designing and Implementing a Data Science Solution on Azure (DP-100) practice exam works on all operating systems like Mac, Linux, iOS, Android, and Windows.
Microsoft DP-100 (Designing and Implementing a Data Science Solution on Azure) Exam is a certification exam that measures a candidate's ability to design and implement data science solutions using Microsoft Azure technologies. DP-100 Exam is intended for data scientists, data engineers, and other professionals who work with data and want to validate their skills and knowledge in using Azure to solve data-related problems.
Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions (Q283-Q288):NEW QUESTION # 283
You create an Azure Machine Learning workspace. You train a classification model by using automated machine learning (automated ML) in Azure Machine Learning studio. The training data contains multiple classes that have significantly different numbers of samples.
You must use a metric type to avoid labeling negative samples as positive and an averaging method that will minimize the class imbalance.
You need to configure the metric type and the averaging method.
Which configurations should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation


NEW QUESTION # 284
You manage an Azure Machine Learning workspace named workspace1by using the Python SDK v2.
You must register datastores in workspace 1 for Azure Blot storage and Azure Fetes storage to meet the following requirements.
* Azure Active Directory (Azure AD) authentication must be used for access to storage when possible.
* Credentials and secrets steed in workspace1 must be valid lot a specified time period when accessing Azure Files storage.
You need to configure a security access method used to register the Azure Blob and azure files storage in workspace1.
Which security access method should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:


NEW QUESTION # 285
You create an Azure Machine Learning dataset. You use the Azure Machine Learning designer to transform the dataset by using an Execute Python Script component and custom code.
You must upload the script and associated libraries as a script bundle.
You need to configure the Execute Python Script component.
Which configurations should you use? To answer, select the appropriate options in the answer area.
NOTE Each correct selection is worth one point.

Answer:
Explanation:

Explanation


NEW QUESTION # 286
You need to produce a visualization for the diagnostic test evaluation according to the data visualization requirements.
Which three modules should you recommend be used in sequence? To answer, move the appropriate modules from the list of modules to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation

Step 1: Sweep Clustering
Start by using the "Tune Model Hyperparameters" module to select the best sets of parameters for each of the models we're considering.
One of the interesting things about the "Tune Model Hyperparameters" module is that it not only outputs the results from the Tuning, it also outputs the Trained Model.
Step 2: Train Model
Step 3: Evaluate Model
Scenario: You need to provide the test results to the Fabrikam Residences team. You create data visualizations to aid in presenting the results.
You must produce a Receiver Operating Characteristic (ROC) curve to conduct a diagnostic test evaluation of the model. You need to select appropriate methods for producing the ROC curve in Azure Machine Learning Studio to compare the Two-Class Decision Forest and the Two-Class Decision Jungle modules with one another.
References:
http://breaking-bi.blogspot.com/ ... del-evaluation.html

NEW QUESTION # 287
You are evaluating a completed binary classification machine learning model.
You need to use the precision as the evaluation metric.
Which visualization should you use?
  • A. Binary classification confusion matrix
  • B. coefficient of determination
  • C. box plot
  • D. Gradient descent
Answer: A
Explanation:
https://machinelearningknowledge ... ce-metrics-machine- learning/

NEW QUESTION # 288
......
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