Microsoft Customer Data Platform Specialist (beta) v1.0 (MB-260)

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Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

Your organization is using Microsoft Dynamics 365 Customer Insights as a Customer Data Platform.

You are in the process of matching the entities as part of the data unification task. You completed all the steps in the match phase and selected Run to start the process.

While the matching algorithm is running in the background, you realize that you need to make some configuration changes in one of the match rules you created.

Solution: Select the status of the job, select Draft job on the Progress details pane, and make the required changes.

Does this meet the goal?

  • A. Yes
  • B. No


Answer : B

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You are implementing Microsoft Dynamics 365 Customer Insights as your company's Customer Data Platform.

The initial dataset entities contain contacts from Dynamics 365 Sales, eCommerce customers, and service management platform incidents.

In your first unification run. You set Dynamics 365 as the primary entity but only see eCommerce profiles that were able to be matched with Dynamics 365 contacts.

You need to ensdure that unmatched eCommerce customers are also added as a profile in Dynamics 365 Customer Insights.

Solution: Make eCommerce customers the primary entity in the match phase.

Does this solve the problem?

  • A. Yes
  • B. No


Answer : B

You are implementing Microsoft Dynamics 365 Customer Insights at a bank.

You finish setting up the different initial data sources, and start the unification process.

Which three tasks do you need to perform on the Source fields page during the unification process? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

  • A. Select the fields you want to include in the unified customer profile.
  • B. Identify the prioritization of similar fields between different entities.
  • C. Identify the entities that you need to unify into a single profile.
  • D. Identify rules for duplication between different entities.
  • E. Identify the primary keys and semantic field types within the different entities.


Answer : ADE

You need to unify the different data sources within Microsoft Dynamics 365 Customer Insights through the data unification process.

After you selected Create customer profiles on the Review step, you notice that you still need to rename a customer field.

What is the fastest way to perform the correction?

  • A. View the details of the running job and cancel the job from the side pane. Rename the field and run the unification process again.
  • B. Rename the field while the unification is in Refreshing status. Changes are still recorded during the current process.
  • C. Wait for the process to finish. Refresh the page, then rename the field and run the unification process again.
  • D. While the unification process is running, separate and recombine the Customer field. Rename it and run the unification process again.


Answer : A

Your organization is implementing Microsoft Dynamics 365 Customer Insights. You want to make sure that you address duplicate records in your source data.

You need to define the deduplication rules to select which duplicate record should be kept.

Which three options should you select? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

  • A. Most recent
  • B. Least recent
  • C. Importance
  • D. First imported
  • E. Most filled


Answer : ABE

You have administrator rights in Microsoft Dynamics 365 Customer Insights. You completed the unification step in the data unification process.

You need to perform the next step to view the unified customer profiles.

What should you configure?

  • A. Activities
  • B. Enrichment
  • C. Search & filter index
  • D. Segments


Answer : B

DRAG DROP
-

You work for a chain of hotels, and you have created a data source called PreferenceSystem to ingest consent data in Dynamics 365 Customer Insights in an entity called Consents.

The Consents entity has the following attributes and data types:



You are creating a segment to email information on upcoming events to customers who live in the state of California and whose Average number of nights stayed value is greater than four.

You have already configured the first rule in the segment, as follows:


Rule 1 uses and
-
Customer: Customerinsights.* All records
and
Customer: Customerinsights.State is equal to California
and
Customer_Measure : Customerinsights.Average number of nights stayed is greater than 4

You need to configure the second rule in the segment according to your customers’ consent preferences. This rule will be joined to the first rule with a union operator.

Which attribute name or attribute value corresponds to each empty parameter? To answer, drag the appropriate attribute name or attribute value to the correct empty parameters in the answer area. Each attribute name or attribute value may be used once, more than once, or not at all.

NOTE: Each correct match is worth one point.



Answer :

You are implementing Microsoft Dynamics 365 Customer Insights for a telecommunications company and configuring merges.

The marketing team is launching campaigns to advertise bundle offers for customers who share the same address.

You have the following requirements:
• Ensure all customer profiles that share the same street address, city, zip code, and state are grouped into a cluster.
• Name the grouping sameaddress.
• Leverage prefilled criteria based on system recommendations while configuring the grouping.

You need to configure merges to meet the outlined requirements.

Which two actions must you perform? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

  • A. Create a new Household cluster type and name the cluster sameaddress.
  • B. Edit the default rule in the sameaddress cluster.
  • C. Create at least one rule for the sameaddress cluster.
  • D. Create a new Custom cluster type and name the cluster sameaddress.


Answer : CD

You are a Customer Data Platform Specialist. Your company's information technology team wants to use the out-of-the-box customer lifetime value (CLV) machine learning (ML) capabilities that come with audience insights, but the team has some concerns about the suitability of their data. You need to confirm if their research about data requirements is correct.
Which two statements are correct about the data characteristic requirements for configuring the CLV ML model? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. There should be at least two to three transactions per customer ID, preferably across multiple dates.
  • B. There should be at least 100,000 unique customers to perform the CLV model.
  • C. There should be preferably two to three years of transactional data to predict CLV for one year.
  • D. The CLV model will not run if there is any missing data in the fields.


Answer : AC

Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/predict-customer-lifetime-value

Your team developed and integrated a batch inferencing pipeline to audience insights. This allows for a new custom machine learning (ML) model to run and deliver new insights to your unified profiles data. Your team is manually running the custom machine learning workflows.
Which statement is correct about allowing your workflow to run automatically with every scheduled refresh?

  • A. You can configure scheduled refreshes for audience insights from Azure ML where you developed the custom ML model.
  • B. Your team can set up scheduled refreshes that allow your workflow to run automatically.
  • C. Your team needs to manually trigger your custom machine learning workflows.
  • D. Scheduled refreshes are not supported for custom machine learning models that are connected to audience insights.


Answer : B

Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/custom-models https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/system#schedule-tab

You are a Customer Data Platform Specialist. You are configuring a workflow for a custom model using an Azure Machine Learning batch pipeline. Configuring this type of model requires different parameters than Machine Learning Studio (Classic) models.
Which two configuration parameters are required specifically for Azure Machine Learning batch pipelines? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. Output data store path
  • B. Output data store parameter name
  • C. Web service that contains your model
  • D. Entity name


Answer : BD

Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/custom-models

DRAG DROP -
You are a Customer Data Platform Specialist. The marketing manager at your company wants to understand the training model performance for a customer lifetime value (CLV) model you configured.
What do the possible training model performance grades signify? To answer, drag the appropriate definition to the correct grade value. Each definition may be used once or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Select and Place:



Answer :

Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/predict-customer-lifetime-value

Your company uses Microsoft Dynamics 365 Customer Insights' out-of-the-box (OOTB) machine learning (ML) capabilities across product recommendation, customer lifetime value, and churn. Now the company wants to develop a new custom ML scenario that is not covered within the OOTB capabilities. The company does not have data scientists or ML practitioners. There is no time to train someone to develop a new ML scenario.

You need to recommend how to implement workflows that consume ML models.

Which two recommendations should you make? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

  • A. You must register datasets in the workspace. The datasets can be represented in multiple formats including JSON and Parquet.
  • B. You can use Microsoft Azure Machine Learning designer to configure a batch pipeline that can be integrated into Dynamics 365 Customer Insights.
  • C. You can use a training pipeline to create or update an inference pipeline. Only batch inference pipelines are currently supported.
  • D. You can use Microsoft Azure Machine Learning SDK to develop a custom ML model, to consume in Dynamics 365 Customer Insights, and when using a batch inference pipeline.


Answer : BD

Your team developed and integrated a batch inferencing pipeline to Microsoft Dynamics 365 Customer Insights. This allows for a new custom machine learning (ML) model to run and deliver new insights to the unified profiles' data.

You need to make sure the workflow runs automatically with every scheduled refresh.

What should the team do?

  • A. The team needs to configure a Microsoft Power Automate flow to trigger a refresh.
  • B. The team can set up scheduled refreshes that will also run the workflows automatically.
  • C. The team needs to manually trigger the custom ML workflows.
  • D. The team can configure scheduled refreshes for Dynamics 365 Customer Insights from Azure Machine Learning where you developed the custom ML model.


Answer : B

You are planning to use the AI-driven suggested segments, based on the customer activity data that is ingested to Microsoft Dynamics 365 Customer Insights.

You need to determine how the machine learning model analyzes the activity data to suggest segments.

Which three dimensions are used? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

  • A. Customer ID
  • B. Monetary Value
  • C. Recency
  • D. Activity Type
  • E. Frequency
  • F. Unified Activity entity


Answer : BCE

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Total 147 questions