You have an Azure SQL database that contains a table named Customer. Customer contains the columns shown in the following table.

You apply a masking rule as shown in the following table.

Which users can view the email addresses of the customers?

You have an Azure subscription that contains an Azure Databricks environment and an Azure Storage account.
You need to implement secure communication between Databricks and the storage account.
You create an Azure key vault.
Which four actions should you perform in sequence? To answer, move the actions from the list of actions to the answer area and arrange them in the correct order.

You implement an event processing solution using Microsoft Azure Stream Analytics.
The solution must meet the following requirements:
* Ingest data from Blob storage
* Analyze data in real time
* Store processed data in Azure Cosmos DB
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

You have an Azure SQL database that contains a table named Employee. Employee contains sensitive data in a decimal (10,2) column named Salary.
You need to ensure that nonprivileged users can view the table data, but Salary must display a number from 0 to 100.
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You plan to create an Azure Databricks workspace that has a tiered structure. The workspace will contain the following three workloads:
A workload for data engineers who will use Python and SQL
A workload for jobs that will run notebooks that use Python, Spark, Scala, and SQL A workload that data scientists will use to perform ad hoc analysis in Scala and R The enterprise architecture team at your company identifies the following standards for Databricks environments:
The data engineers must share a cluster.
The job cluster will be managed by using a request process whereby data scientists and data engineers provide packaged notebooks for deployment to the cluster.
All the data scientists must be assigned their own cluster that terminates automatically after 120 minutes of inactivity. Currently, there are three data scientists.
You need to create the Databrick clusters for the workloads.
Solution: You create a High Concurrency cluster for each data scientist, a High Concurrency cluster for the data engineers, and a Standard cluster for the jobs.
Does this meet the goal?