A company uses Power Apps with Microsoft Dataverse. The company enables auditing on the Dataverse database. The company tenant reaches the maximum storage capacity. You need to delete some auditing…

The correct answer is A. by table B. by record E. older than a specified date. Microsoft Dataverse provides three supported methods for deleting audit log data to free up storage. By table (A): deletes all audit records associated with a specific Dataverse table. By record (B): deletes all audit history for a specific individual record. Older than a…

Configure Microsoft Dataverse

Question

A company uses Power Apps with Microsoft Dataverse. The company enables auditing on the Dataverse database. The company tenant reaches the maximum storage capacity. You need to delete some auditing data. Which three deletion options should you use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

Options

Aby table
Bby record
Cbetween two specified dates
Dby column
Eolder than a specified date

How the community answered

(46 responses)

A
76% (35)
C
15% (7)
D
9% (4)

Explanation

Microsoft Dataverse provides three supported methods for deleting audit log data to free up storage. By table (A): deletes all audit records associated with a specific Dataverse table. By record (B): deletes all audit history for a specific individual record. Older than a specified date (E): bulk-deletes all audit logs created before a chosen date, which is the most effective method for reclaiming large amounts of storage. Option C (between two dates) is not a native Dataverse audit deletion option. Option D (by column) is not supported-audit deletion is not scoped to individual column-level changes. These three options align with what is available in the Power Platform admin center under audit log management.

Topics

#Dataverse Auditing#Audit Log Management#Storage Optimization#Dataverse Administration

Community Discussion

No community discussion yet for this question.

Full PL-200 Practice