MB-910 Describe Dynamics 365 Customer Insights Practice Test 8 — 15 Questions

Question 1

A user wants to export a segment of high-value customers from Customer Insights to Dynamics 365 Marketing to send a campaign. What is the recommended way to do this?

Accepted Answer

Use the Dynamics 365 Marketing connector. The Dynamics 365 Marketing connector is the recommended, native integration between Customer Insights and Dynamics 365 Marketing. It enables direct, real-time export of customer segments without manual steps, preserving data integrity and supporting automated campaign triggers. This built-in connector is the designed path for high-volume, low-latency segment sharing.

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Use the Customer Insights API

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Export the segment as a CSV file and import it

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Use Power Automate to copy data

Question 2

Your Customer Insights data shows that some customer profiles have missing phone numbers. You have a third-party data provider that can supply phone numbers based on email addresses. Which capability should you use to add this data?

Accepted Answer

Data enrichment. Data enrichment is the correct capability because it allows you to enhance existing customer profiles by appending missing attributes—such as phone numbers—from an external third-party data provider. In Dynamics 365 Customer Insights, enrichment uses a matching key (e.g., email address) to pull in additional data from a configured provider without overwriting or merging entire records.

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Data merge

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Data import

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Data matching

Question 3

Which THREE are prerequisites for setting up Customer Insights predictions? (Choose three.)

Accepted Answer

Unified customer profiles. Unified customer profiles (Option A) are a prerequisite for Customer Insights predictions because predictions rely on a consolidated, single view of each customer derived from multiple data sources. Without unified profiles, the AI models cannot accurately associate behaviors, transactions, and attributes to individual customers, which is essential for generating reliable predictions like churn or purchase likelihood.

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External data enrichment

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Real-time data streaming

Question 4

A customer administrator configures the unification shown. After running unification, they notice that some records from the Web_Submissions source have empty email fields. What will happen to those records?

Accepted Answer

They will remain as unmatched profiles. In Dynamics 365 Customer Insights, when a unification rule is configured and a record from a source (e.g., Web_Submissions) has an empty email field, that record cannot be matched to any existing customer profile based on the email attribute. Instead of causing an error or being deleted, the record is retained as an unmatched profile. Unmatched profiles are stored separately and can be reviewed, merged, or acted upon later, ensuring no data loss occurs during the unification process.

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They will cause an error and stop unification

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They will match to CRM contacts with empty email

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They will be deleted from the data source

Question 5

A data scientist reviews the custom prediction configuration shown. The prediction output includes a score between 0 and 1. What does a score of 0.9 indicate?

Accepted Answer

High likelihood of purchase within 30 days. In Dynamics 365 Customer Insights, the custom prediction model for purchase likelihood outputs a score between 0 and 1, where a higher score indicates a greater probability of the predicted event occurring. A score of 0.9 means the model predicts a 90% probability that the customer will make a purchase within the next 30 days, representing a high likelihood of purchase.

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Low likelihood of purchase within 30 days

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Model confidence in the prediction

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Churn risk score

Question 6

A marketer creates the segment shown. Which customers will be included?

Accepted Answer

Customers with TotalSpend more than 5000. The segment shown uses a condition that filters customers based on the 'TotalSpend' attribute being greater than 5000. In Dynamics 365 Customer Insights, segments are built using attribute conditions, and the operator 'greater than' (>) includes only records where the numeric value exceeds the specified threshold. Therefore, customers with a TotalSpend value above 5000 are included in the segment.

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Customers with TotalSpend less than 5000

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All customers with any TotalSpend

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Customers with TotalSpend exactly 5000

Question 7

A retail company wants to create a 360-degree view of their customers by unifying data from their point-of-sale system, e-commerce platform, and loyalty program. Which Dynamics 365 Customer Insights capability should they use?

Accepted Answer

Data unification. The retail company needs to create a unified 360-degree customer view by merging data from disparate sources (POS, e-commerce, loyalty). Data unification in Dynamics 365 Customer Insights is the specific capability designed to ingest, map, match, and merge customer records from multiple systems into a single, deduplicated customer profile using rules and machine learning. This directly addresses the requirement to unify data, whereas the other options focus on analyzing or acting on already-unified data.

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Predictive scoring

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Copilot for Customer Insights

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Customer segmentation

Question 8

A company uses Customer Insights to unify customer data. After unification, they notice that some customers appear as duplicates despite high match confidence. What should they do to resolve this?

Accepted Answer

Adjust deduplication rules. Customer Insights uses deduplication rules to define how duplicate customer profiles are identified and merged. Even when match confidence is high, the system may still detect duplicates if the deduplication rules are not configured to handle specific data patterns, such as variations in name formatting or address details. Adjusting these rules allows you to fine-tune the matching logic to resolve false duplicates.

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Re-run data ingestion

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Use enrichment to add more data

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Increase the match confidence threshold

Question 9

A sales manager wants to see a single timeline of customer interactions across sales, service, and marketing. Which Customer Insights feature provides this?

Accepted Answer

Unified customer profile. The unified customer profile in Dynamics 365 Customer Insights aggregates data from sales, service, and marketing interactions into a single, comprehensive timeline. This feature merges disparate data sources (e.g., CRM, support tickets, campaign responses) to create a 360-degree view, enabling the sales manager to see all customer touchpoints in one place.

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Data enrichment

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Customer segmentation

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Predictive scoring

Question 10

A customer data platform administrator needs to ensure that Customer Insights complies with GDPR data deletion requests. What should they configure?

Accepted Answer

Data privacy. The Data privacy page in Dynamics 365 Customer Insights is the dedicated area for managing GDPR compliance, including data deletion requests. Administrators can configure data deletion policies, run deletion jobs, and track the status of deletion requests to ensure customer data is removed in accordance with GDPR's right to erasure.

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Segmentation

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Data unification

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Enrichment

Question 11

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

Accepted Answer

Segmentation. Segmentation in Dynamics 365 Customer Insights allows you to define a dynamic segment based on conditions such as 'purchase date in the last 30 days.' This capability directly queries the unified customer profile and transaction data to create a targeted group of customers for marketing campaigns.

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Predictive scoring

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Data unification

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Measures

Question 12

A company wants to use Customer Insights to identify customers who are likely to respond to a new product campaign. Which feature should they use?

Accepted Answer

Predictive scoring. Predictive scoring in Dynamics 365 Customer Insights uses machine learning models to analyze historical customer data and engagement patterns, assigning a score that predicts the likelihood of a specific outcome—such as responding to a new product campaign. This directly matches the company's goal of identifying high-propensity customers for targeted outreach.

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Enrichment

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Measures

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Segmentation

Question 13

An administrator notices that Customer Insights data is not refreshing as scheduled. What should they check first?

Accepted Answer

Data source refresh settings. In Dynamics 365 Customer Insights, data refresh is driven by the refresh schedule configured on each data source. If data is not refreshing as scheduled, the first thing to verify is whether the data source refresh settings (schedule, enabled/disabled state, and credentials) are correctly configured. Unification rules, enrichment providers, and segment definitions operate downstream of the refresh and would not prevent the initial data pull from occurring.

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Unification rules

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Enrichment providers

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Segment definitions

Question 14

Which TWO capabilities are part of Dynamics 365 Customer Insights? (Choose two.)

Accepted Answer

Predictive scoring. Predictive scoring is a core capability of Dynamics 365 Customer Insights that uses AI and machine learning models to assign scores to customer profiles based on their likelihood to perform a specific action, such as churn or purchase. This enables businesses to prioritize engagement and personalize marketing efforts based on predicted behaviors.

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Case management

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Invoice processing

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Email marketing

Question 15

Which THREE are benefits of using Dynamics 365 Customer Insights? (Choose three.)

Accepted Answer

AI-driven insights. Dynamics 365 Customer Insights leverages AI-driven insights to analyze customer data and predict behaviors, such as churn risk or next best action, using built-in machine learning models. This enables businesses to proactively engage customers based on data-driven predictions rather than reactive measures.

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Inventory management

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Automated invoice generation