Learn the key requirements for integrating a custom machine learning model with Microsoft Dynamics 365 Customer Insights. Prepare for the MB-260 certification exam with this comprehensive explanation.
Table of Contents
Question
Your data analytics team wants to create a custom machine learning model to predict whether a customer will purchase a particular product.
You need to explain what is required for integrating a custom model with Microsoft Dynamics 365 Customer Insights.
Which two requirements should you tell them? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. You need Owner or User Access Administrator permissions to the Microsoft Azure Machine Learning Workspace to use batch pipelines.
B. You need a model that returns at least one numeric output parameter for Dynamics 365 Customer insights to implement predictions.
C. You can only deploy and manage the model through the Dynamics 365 Customer insights admin user interface.
D. You need a Microsoft Azure Data Lake Gen2 storage account associated with the Azure Data Studio instance.
Answer
A. You need Owner or User Access Administrator permissions to the Microsoft Azure Machine Learning Workspace to use batch pipelines.
B. You need a model that returns at least one numeric output parameter for Dynamics 365 Customer insights to implement predictions.
Explanation
The two correct requirements for integrating a custom machine learning model with Microsoft Dynamics 365 Customer Insights are:
A. You need Owner or User Access Administrator permissions to the Microsoft Azure Machine Learning Workspace to use batch pipelines.
Explanation: To integrate a custom machine learning model with Dynamics 365 Customer Insights, you must have the appropriate permissions to access and manage the Azure Machine Learning Workspace. Owner or User Access Administrator permissions are required to use batch pipelines, which enable the processing of large datasets for predictions.
B. You need a model that returns at least one numeric output parameter for Dynamics 365 Customer insights to implement predictions.
Explanation: The custom machine learning model must return at least one numeric output parameter for Dynamics 365 Customer Insights to successfully implement predictions. This numeric output serves as the basis for the predictive insights generated by the system.
Options C and D are incorrect because:
C. You can deploy and manage the model through various methods, including the Azure Machine Learning Studio, APIs, or the Azure CLI, in addition to the Dynamics 365 Customer Insights admin user interface.
D. While an Azure Data Lake Gen2 storage account can be used to store data for machine learning purposes, it is not a direct requirement for integrating a custom model with Dynamics 365 Customer Insights.
Understanding these requirements is crucial for successfully integrating custom machine learning models with Microsoft Dynamics 365 Customer Insights and leveraging the platform’s predictive capabilities.
Microsoft MB-260 certification exam assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Microsoft MB-260 exam and earn Microsoft MB-260 certification.