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Sharpen Your Knowledge with Microsoft (DP-100) Certification Sample Questions
CertsTime has provided you with a sample question set to elevate your knowledge about the Microsoft Designing and Implementing a Data Science Solution on Azure exam. With these updated sample questions, you can become quite familiar with the difficulty level and format of the real DP-100 certification test. Try our sample Microsoft Designing and Implementing a Data Science Solution on Azure certification practice exam to get a feel for the real exam environment. Our sample practice exam gives you a sense of reality and an idea of the questions on the actual Microsoft Azure Data Scientist Associate certification exam.
Our sample questions are similar to the Real Microsoft DP-100 exam questions. The premium Microsoft Designing and Implementing a Data Science Solution on Azure certification practice exam gives you a golden opportunity to evaluate and strengthen your preparation with real-time scenario-based questions. Plus, by practicing real-time scenario-based questions, you will run into a variety of challenges that will push you to enhance your knowledge and skills.
Microsoft DP-100 Sample Questions:
You train and register an Azure Machine Learning model
You plan to deploy the model to an online endpoint
You need to ensure that applications will be able to use the authentication method with a non-expiring artifact to access the model.
Solution:
Create a managed online endpoint with the default authentication settings. Deploy the model to the online endpoint.
Does the solution meet the goal?
You train and register an Azure Machine Learning model
You plan to deploy the model to an online endpoint
You need to ensure that applications will be able to use the authentication method with a non-expiring artifact to access the model.
Solution:
Create a managed online endpoint and set the value of its auth.mode parameter to aml.token. Deploy the model to the online endpoint.
Does the solution meet the goal?
You have an Azure Machine Learning workspace. You build a deep learning model.
You need to publish a GPU-enabled model as a web service.
Which two compute targets can you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
You are using Azure Machine Learning to monitor a trained and deployed model. You implement Event Grid to respond to Azure Machine Learning events.
Model performance has degraded due to model input data changes.
You need to trigger a remediation ML pipeline based on an Azure Machine Learning event.
Which event should you use?
You create an Azure Machine Learning workspace.
You must configure an event handler to send an email notification wten data drift is detected in the workspace datasets. You must minimize development efforts.
You need to configure an Azure service to send the notification.
Which Azure service should you use?
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