Correct Answer:

Correct Answer:

Reference: https://docs.microsoft.com/en-us/powerapps/user/add-powerbi-dashboards

Correct Answer:

Explanation:

Box 1: Environment auditing

Configure auditing for an environment

There are three levels where auditing can be configured: an environment, table, and column. For table auditing to take place, auditing must be enabled at the environment level. For column auditing to take place, auditing must be enabled at

the environment level and the table level.

To enable user access auditing (Log access) or activity logging (Read logs), auditing must be enabled at the environment level.

Box 2: Bulk deletion job

Remove a large amount of specific, targeted data with bulk deletion

The bulk deletion feature helps you to maintain data quality and manage the consumption of system storage by deleting data that you no longer need.

For example, you can delete the following data in bulk:

Stale data.

Data that is irrelevant to the business.

Unneeded test or sample data.

Data that is incorrectly imported from other systems.

With bulk deletion you can perform the following operations:

Delete data across multiple tables.

Delete records for a specified table.

Receive email notifications when a bulk deletion finishes.

Delete data periodically.

Schedule the start time of a recurring bulk delete.

Retrieve the information about the failures that occurred during a bulk deletion.

Reference: https://learn.microsoft.com/en-us/power-platform/admin/manage-dataverse-auditing

Correct Answer: C

You can use row-level security (RLS) with Power BI Desktop to restrict data access for given users. Filters restrict data at the row level. You can define filters within roles.

You can now configure RLS for data models imported into Power BI with Power BI Desktop. You can also configure RLS on datasets that are using DirectQuery, such as SQL Server.

Incorrect Answers:

A: You can restrict access to a field by creating a field security profile. After you create the profile, you assign users and or teams to that profile, and set up specific read, create, or write permissions for the field.

Reference:

https://docs.microsoft.com/en-us/power-bi/create-reports/desktop-rls

Correct Answer: AE

Use entities and slot filling in Power Virtual Agents bots.

One fundamental aspect of natural language understanding is to identify entities in a user dialog. An entity can be viewed as an information unit that represents a certain type of a real-world subject, like a phone number, zip code, city, or even a person's name. Custom entities

The prebuilt entities cover commonly used information types, but on some occasions, such as when building a bot that serves a specific purpose, you'll need to teach the bot's language understanding model some domain-specific knowledge. For instance, let's say you want to build a bot for an outdoor store. In this case, you'll need to teach the bot to acknowledge the "outdoor gears product" category in a dialog.

A:

Slot filling

Slot filling is a natural language understanding concept that means saving an extracted entity to an object. However, in Power Virtual Agents, slot filling means placing the extracted entity value into a variable.

Reference: https://learn.microsoft.com/en-us/power-virtual-agents/advanced-entities-slot-filling