At ValidExamDumps, we consistently monitor updates to the Microsoft DP-100 exam questions by Microsoft. Whenever our team identifies changes in the exam questions,exam objectives, exam focus areas or in exam requirements, We immediately update our exam questions for both PDF and online practice exams. This commitment ensures our customers always have access to the most current and accurate questions. By preparing with these actual questions, our customers can successfully pass the Microsoft Designing and Implementing a Data Science Solution on Azure exam on their first attempt without needing additional materials or study guides.
Other certification materials providers often include outdated or removed questions by Microsoft in their Microsoft DP-100 exam. These outdated questions lead to customers failing their Microsoft Designing and Implementing a Data Science Solution on Azure exam. In contrast, we ensure our questions bank includes only precise and up-to-date questions, guaranteeing their presence in your actual exam. Our main priority is your success in the Microsoft DP-100 exam, not profiting from selling obsolete exam questions in PDF or Online Practice Test.
You manage an Azure Machine Learning workspace.
You must set up an event-driven process to trigger a retraining pipeline.
You need to configure an Azure service that will trigger a retraining pipeline in response to data drift in Azure Machine Learning datasets. Which Azure service should you use?
You use Azure Machine Learning designer to create a training pipeline for a regression model.
You need to prepare the pipeline for deployment as an endpoint that generates predictions asynchronously for a dataset of input data values.
What should you do?
You must first convert the training pipeline into a real-time inference pipeline. This process removes training modules and adds web service inputs and outputs to handle requests.
Incorrect Answers:
A: Use the Enter Data Manually module to create a small dataset by typing values.
https://docs.microsoft.com/en-us/azure/machine-learning/tutorial-designer-automobile-price-deploy
You are developing a machine learning model by using Azure Machine Learning. You are using multiple text files in tabular format for model dat
a. You have the following requirements:
* You must use AutoML jobs to train the model.
* You must use data from specified columns.
* The data concept must support lazy evaluation.
You need to load data into a Pandas dataframe.
Which data concept should you use?
You have an Azure Machine Learning workspace. You are connecting an Azure Data Lake Storage Gen2 account to the workspace as a data store. You need to authorize access from the workspace to the Azure Data Lake Storage Gen2 account.
What should you use?
You are creating a machine learning model.
You need to identify outliers in the data.
Which two visualizations can you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
NOTE: Each correct selection is worth one point.
The box-plot algorithm can be used to display outliers.
One other way to quickly identify Outliers visually is to create scatter plots.
https://blogs.msdn.microsoft.com/azuredev/2017/05/27/data-cleansing-tools-in-azure-machine-learning/
