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Microsoft DP-100 Certification Exam is designed to test your knowledge of designing and implementing data science solutions on Microsoft Azure. DP-100 exam is intended for data scientists, data analysts, and other professionals who work with data on the Azure platform. By earning this certification, you can demonstrate your expertise in using Azure technologies to create effective data science solutions.
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Microsoft DP-100 certification exam is a comprehensive exam that covers a wide range of topics related to data science solutions on Azure. DP-100 exam consists of multiple-choice questions and requires the candidate to demonstrate their knowledge and understanding of data science concepts and Azure data science solutions. DP-100 Exam is designed to test the candidate’s ability to design and implement data science solutions on Azure.
NEW QUESTION # 154
You have a dataset that includes home sales data for a city. The dataset includes the following columns.
Each row in the dataset corresponds to an individual home sales transaction.
You need to use automated machine learning to generate the best model for predicting the sales price based on the features of the house.
Which values should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Regression
Regression is a supervised machine learning technique used to predict numeric values.
Box 2: Price
Reference:
https://docs.microsoft.com/en-us/learn/modules/create-regression-model-azure-machine-learning-designer
NEW QUESTION # 155
You create a batch inference pipeline by using the Azure ML SDK.
You configure the pipeline parameters by executing the following code:
You need to obtain the output from the pipeline execution.
Where will you find the output?
Answer: E
Explanation:
output_action (str): How the output is to be organized. Currently supported values are
'append_row' and 'summary_only'.
'append_row' ?All values output by run() method invocations will be aggregated into one unique file named parallel_run_step.txt that is created in the output location.
'summary_only'
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-contrib-pipeline-steps/ azureml.contrib.pipeline.steps.parallelrunconfig
NEW QUESTION # 156
You are using the Azure Machine Learning Service to automate hyperparameter exploration of your neural network classification model.
You must define the hyperparameter space to automatically tune hyperparameters using random sampling according to following requirements:
The learning rate must be selected from a normal distribution with a mean value of 10 and a standard deviation of 3.
Batch size must be 16, 32 and 64.
Keep probability must be a value selected from a uniform distribution between the range of 0.05 and 0.1.
You need to use the param_sampling method of the Python API for the Azure Machine Learning Service.
How should you complete the code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-tune-hyperparameters
NEW QUESTION # 157
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 # 158
Drag and Drop Question
You set up a machine learning workflow as an automated process. You have an Owner role in an Azure subscription that contains the Azure Machine Learning workspace.
You must set up an authentication method that allows an automated process to authenticate to the workspace without requiring user interaction.
You need to set up the authentication for the Azure Machine Learning workspace.
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.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
Answer:
Explanation:
NEW QUESTION # 159
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