Microsoft DP-203 Exam Dumps

sensitivity-classification labels applied to columns that contain confidential information

audit logs sent to a Log Analytics workspace

A: You can classify columns manually, as an alternative or in addition to the
recommendation-based classification:

Deploy identical Azure Stream Analytics jobs to paired regions in Azure.

Explanation:
Guarantee Stream Analytics job reliability during service updates
Part of being a fully managed service is the capability to introduce new service functionality
and improvements at a rapid pace. As a result, Stream Analytics can have a service update
deploy on a weekly (or more frequent) basis. No matter how much testing is done there is
still a risk that an existing, running job may break due to the introduction of a bug. If you are
running mission critical jobs, these risks need to be avoided. You can reduce this risk by
following Azure’s paired region model.
Scenario: The application development team will create an Azure event hub to receive realtime
sales data, including store number, date, time, product ID, customer loyalty number,
price, and discount amount, from the point of sale (POS) system and output the data to
data storage in Azure
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-job-reliability

From Azure DevOps, create a release pipeline.

Explanation:
In Azure Data Factory, continuous integration and delivery (CI/CD) means moving Data
Factory pipelines from one environment (development, test, production) to another.
Note:
The following is a guide for setting up an Azure Pipelines release that automates the
deployment of a data factory to multiple environments.
In Azure DevOps, open the project that's configured with your data factory.
On the left side of the page, select Pipelines, and then select Releases.
Select New pipeline, or, if you have existing pipelines, select New and then New
release pipeline.
In the Stage name box, enter the name of your environment.
Select Add artifact, and then select the git repository configured with your
development data factory. Select the publish branch of the repository for the
Default branch. By default, this publish branch is adf_publish.
Select the Empty job template.
Reference: