Question 106

You have an Azure subscription.
You need to deploy an Azure SQL managed instance that meets the following requirements:
*Optimize latency.
*Maximize the memory-to-vCore ratio.
Which service tier and hardware generation should you use? To answer, select the apocopate options in the answer area.
NOTE: Each correct selection is worth one point.

Question 107

You have an on-premises Microsoft SQL Server 2019 instance named SQL1 that hosts a database named db1. You have an Azure subscription that contains an Azure SQL managed instance named MI1 and an Azure Storage account named storage1.
You need to ensure that you can back up db1 to storage1. The solution must meet the following requirements:
* Use block blob storage.
* Maximize security.
  • Question 108

    You have an Azure SQL database named DB1 that contains a table named Table 1.
    You run a query to load data into Table1.
    The performance metrics of Table1 during the load operation are shown in the following exhibit.

    Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic. NOTE: Each correct selection is worth one point.

    Question 109

    You have an Azure SQL database that contains a table named Employees. Employees contains a column named Salary.
    You need to encrypt the Salary column. The solution must prevent database administrators from reading the data in the Salary column and must provide the most secure encryption.
    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.

    Question 110

    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 section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
    You have an Azure Data Lake Storage account that contains a staging zone.
    You need to design a daily process to ingest incremental data from the staging zone, transform the data by executing an R script, and then insert the transformed data into a data warehouse in Azure Synapse Analytics.
    Solution: You use an Azure Data Factory schedule trigger to execute a pipeline that copies the data to a staging table in the data warehouse, and then uses a stored procedure to execute the R script.
    Does this meet the goal?