MB-910 Describe Dynamics 365 Customer Insights Practice Test 9 — 15 Questions

Question 1

Refer to the exhibit. A Customer Insights data engineer is configuring data unification for a POS system. What is the purpose of the 'matchConditions' in this JSON?

Accepted Answer

To identify records that refer to the same customer. 'matchConditions' in Customer Insights data unification JSON defines the rules (e.g., fuzzy matching on email, phone, or name) used to identify duplicate or related records across different data sources (like POS systems) that refer to the same customer. This is the core deduplication step in the data unification process, enabling a single customer view.

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To filter out incomplete transactions

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To set the refresh schedule for the data source

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To define the schema of the target entity

Question 2

Refer to the exhibit. A Customer Insights administrator creates a segment for high-value customers. Which customers will be included in this segment?

Accepted Answer

Customers with a CLV greater than 1000. The segment is defined as 'high-value customers,' and the rule shown in the exhibit filters for customers where Customer Lifetime Value (CLV) is greater than 1000. In Dynamics 365 Customer Insights, segments are built using conditions that evaluate numeric attributes, and the 'greater than' operator includes only records where the value exceeds the specified threshold.

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All customers

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Customers with a CLV of exactly 1000

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Customers with a CLV less than 1000

Question 3

A retail company wants to unify customer data from their e-commerce platform, loyalty program, and in-store POS system to create a single customer view. Which Dynamics 365 tool should they use?

Accepted Answer

Dynamics 365 Customer Insights - Data. Dynamics 365 Customer Insights - Data is the correct tool because it is specifically designed to ingest, unify, and enrich customer data from multiple sources (e-commerce, loyalty, POS) into a single customer profile using identity resolution and data transformation pipelines. This creates a 360-degree view of the customer, which is the core requirement described in the question.

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Dynamics 365 Customer Service

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Dynamics 365 Sales

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Dynamics 365 Customer Voice

Question 4

A marketing team wants to use AI to predict which customers are most likely to purchase a new product. Which feature of Dynamics 365 Customer Insights should they use?

Accepted Answer

Predictive models. Predictive models in Dynamics 365 Customer Insights use machine learning to analyze historical customer data and identify patterns that indicate a high likelihood of purchasing a new product. This feature allows the marketing team to create a binary prediction (e.g., will buy/will not buy) based on attributes such as past purchases, engagement, and demographics, directly addressing the need to predict which customers are most likely to purchase.

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Enrichment

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Measures

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Segmentation

Question 5

A company uses Dynamics 365 Customer Insights - Data to create a unified customer profile. They notice that duplicate records exist from different sources. What should they do to resolve this?

Accepted Answer

Configure deduplication rules within Customer Insights. D is correct because Dynamics 365 Customer Insights - Data provides built-in deduplication rules that allow you to define matching criteria (e.g., name, email, phone) to identify and merge duplicate records from different sources into a single unified customer profile. This is the intended, native mechanism for resolving duplicates within the system, ensuring data integrity without manual intervention or external tools.

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Manually delete duplicate records in each source system

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Create a dataflow to filter duplicates

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Use Power Automate to remove duplicates

Question 6

A business analyst wants to create a segment of customers who have made a purchase in the last 30 days. Which Customer Insights component should they use?

Accepted Answer

Segmentation. Segmentation is the Customer Insights component specifically designed to create subsets of customers based on defined criteria, such as purchase recency. By setting a condition like 'purchase date within the last 30 days,' the business analyst can dynamically generate a segment of qualifying customers for targeted actions.

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Predictive models

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Measures

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Enrichment

Question 7

A company wants to use Dynamics 365 Customer Insights to send personalized marketing emails based on customer behavior. Which integration is most appropriate?

Accepted Answer

Dynamics 365 Marketing. Dynamics 365 Marketing is the correct integration because it is purpose-built to orchestrate customer journeys and send personalized marketing emails based on behavioral data from Customer Insights. Customer Insights provides unified customer profiles and AI-driven insights, which Dynamics 365 Marketing consumes via real-time segmentation and triggers to deliver tailored communications.

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Power Automate

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Power Apps

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Power BI

Question 8

A marketing manager wants to see a 360-degree view of each customer, including their interactions, purchases, and support tickets. Which Dynamics 365 tool provides this?

Accepted Answer

Customer Insights - Data. Customer Insights - Data (option A) is the correct tool because it is specifically designed to unify customer data from multiple sources (e.g., interactions, purchases, support tickets) into a single, 360-degree customer view. It uses data ingestion, entity matching, and unification processes to create a comprehensive profile, directly addressing the marketing manager's requirement.

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Dynamics 365 Field Service

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Dynamics 365 Customer Service

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Customer Insights - Journeys

Question 9

A company wants to use AI to calculate the likelihood that a customer will churn. Which Customer Insights feature should they use?

Accepted Answer

Predictive models. Predictive models in Dynamics 365 Customer Insights use machine learning to analyze historical customer data and calculate the likelihood of future outcomes, such as churn. This feature specifically builds a binary classification model that outputs a churn probability score for each customer, enabling proactive retention efforts.

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Measures

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Segmentation

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Enrichment

Question 10

A company has customer data in Salesforce, a SQL database, and Excel files. They need to bring all this data into Dynamics 365 Customer Insights. What should they use?

Accepted Answer

Customer Insights data ingestion connectors. Customer Insights data ingestion connectors are purpose-built to import data from external sources like Salesforce, SQL databases, and Excel files directly into Dynamics 365 Customer Insights. These connectors support a wide range of data sources and handle the extraction, transformation, and loading (ETL) process, enabling unified customer profiles without requiring custom development.

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Dual-write

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Common Data Model

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Dataflows in Power Platform

Question 11

Which TWO of the following are capabilities of Dynamics 365 Customer Insights - Data?

Accepted Answer

Create a single, unified customer profile. Dynamics 365 Customer Insights - Data is specifically designed to create a single, unified customer profile by stitching together data from various sources. This unified profile provides a 360-degree view of each customer, enabling personalized engagement and analytics.

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Create and manage marketing journeys

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Schedule field service appointments

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Create and manage sales quotes

Question 12

Which THREE of the following are data sources that can be ingested into Dynamics 365 Customer Insights - Data?

Accepted Answer

Salesforce. Dynamics 365 Customer Insights - Data supports ingesting data from Salesforce via its built-in Power Query connectors. This allows organizations to unify customer data from CRM systems like Salesforce into a single customer data platform (CDP) for 360-degree views.

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SAP Concur

Question 13

Refer to the exhibit. A company configures enrichment in Customer Insights as shown. What will this enrichment do?

Accepted Answer

Add interest data from Microsoft to customer profiles. The enrichment in Customer Insights is configured to add interest data from Microsoft to customer profiles. This is because the enrichment feature allows you to pull in external data sources, such as Microsoft's interest and demographic data, to enhance existing customer profiles with additional attributes like brand affinities or lifestyle interests.

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Unify customer data from Microsoft sources

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Create a segment of customers with similar interests

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Predict which customers are interested in a product

Question 14

A manufacturing company uses Dynamics 365 Sales and Customer Insights. They want to identify customers who are likely to churn based on support ticket volume and purchase recency. Which Customer Insights feature should they use to build this analysis?

Accepted Answer

Predictive models. A is correct because Predictive models in Dynamics 365 Customer Insights use built-in machine learning to analyze historical data—such as support ticket volume and purchase recency—and generate a churn probability score for each customer. This allows the company to proactively identify customers at risk of churning without requiring custom data science work.

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Measures

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Segments

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Enrichment

Question 15

A retail company uses Dynamics 365 Customer Insights - Data. They have multiple data sources: online transactions, loyalty program, and social media. They need to create a unified customer profile that resolves identities across these sources. Which process in Customer Insights should they configure to achieve this?

Accepted Answer

Data unification. Data unification in Dynamics 365 Customer Insights - Data is the process that matches and merges customer records from multiple data sources (online transactions, loyalty program, social media) into a single, unified customer profile. It resolves identity conflicts by using matching rules and deduplication to link records belonging to the same individual across disparate systems, enabling a 360-degree view of the customer.

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Measures

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Data transformation

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Enrichment