Duplicate Detections in Dataverse: Components, Features, and Benefits

Components of Duplicate Detections in Dataverse

Question

What are the three components of duplicate detections that Dataverse provides?

Answers

Explanations

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A. B. C. D. E.

Correct Answers: B, D and E

Dataverse provides the three duplicate detection components: Duplicate detection jobs - creates scheduled jobs for duplicate detection.

Duplicate detection rules - defines duplicate detection rules for tables (entities) and columns (fields)

matching.

Duplicate detection settings - sets the default duplicate detection settings for an organization.

Duplicate detection is enabled by default for the Organization.

You can find duplicate detection options in the Power Platform admin center (Number 1) under the Environments menu item (Number 2)

Then select your environment and settings (Number 3)

Under the Data Management group (Number 4), you will find options for all three duplicate detection services (Number 5).

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Before using the Duplicate detection services for tables, you need to enable Duplicate detection in tables' properties.

All other options are incorrect.

For more information about the Dataverse duplicate detection, please visit the below URLs:

Sure, I can explain the three components of duplicate detections that Dataverse provides.

The Dataverse platform provides three main components for duplicate detections. These components work together to help identify and manage duplicates in your data. The three components are:

  1. Duplicate Detection Rules: Duplicate Detection Rules are used to define the criteria for detecting duplicate records in your Dataverse tables. These rules specify the fields that should be compared to identify duplicates and the conditions under which duplicates should be flagged. When a new record is created or an existing record is updated, Dataverse runs the Duplicate Detection Rules to determine if the record is a duplicate of an existing record in the table.

  2. Duplicate Detection Jobs: Duplicate Detection Jobs are automated processes that run in the background to detect and manage duplicates. When a Duplicate Detection Job runs, it compares the records in the table against the criteria specified in the Duplicate Detection Rules. If any duplicates are detected, the job can be configured to either delete or deactivate the duplicate records, or to merge the duplicate records into a single record.

  3. Duplicate Detection Settings: Duplicate Detection Settings are used to configure various settings related to duplicate detection in Dataverse. These settings include the frequency and scope of Duplicate Detection Jobs, the criteria for determining when a record is a duplicate, and the actions to be taken when duplicates are detected. Duplicate Detection Settings can be accessed from the Dataverse Administration Center or through the Dataverse API.

In summary, the three components of duplicate detections that Dataverse provides are Duplicate Detection Rules, Duplicate Detection Jobs, and Duplicate Detection Settings. These components work together to help you identify and manage duplicate records in your Dataverse tables.