Dynamics 365 Customer Insights Quiz

Dynamics 365 Customer Insights Quiz

Professional Development

20 Qs

quiz-placeholder

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Dynamics 365 Customer Insights Quiz

Dynamics 365 Customer Insights Quiz

Assessment

Quiz

Computers

Professional Development

Hard

Created by

CloudThat Technologies

FREE Resource

20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What does "data enrichment" refer to in Dynamics 365 Customer Insights?

Deleting unnecessary data

Augmenting existing data with additional information

Encrypting sensitive information

Creating new data entities

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which types of data can be enriched in Dynamics 365 Customer Insights?

Only textual data

Structured data only

Varied types of data, including demographics and behavioral data

Only numeric data

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the role of connectors in the data enrichment process?

Data deletion

Facilitating data import/export

Encrypting data

Generating reports

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which external sources can be connected to Dynamics 365 Customer Insights for data enrichment?

Limited to Microsoft Excel

Only plain text files

A variety of sources, including CRM systems and third-party databases

Only image files

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the significance of using AI capabilities in data enrichment?

Reducing system performance

Enforcing data encryption

Automating the identification and addition of relevant data

Creating data backups

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

In Dynamics 365 Customer Insights, how is data enrichment different from data import?

They are synonymous terms

Data enrichment only involves numeric data

Data import is a one-time process, while data enrichment is continuous

Data import is not supported

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What benefits does data enrichment bring to customer profiles in Dynamics 365 Customer Insights?

Increasing data redundancy

Decreasing data accuracy

Enhancing the completeness and accuracy of customer profiles

Slowing down data processing

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