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You have an Azure subscription that contains an Azure SQL database named SQLDB1 and an Azure Synapse Analytics dedicated SQL pool named Pool1.
You need to replicate data from SQLDB1 to Pool1. The solution must meet the following requirements:
* Minimize performance impact on SQLDB1.
* Support near-real-time (NRT) analytics.
* Minimize administrative effort.
What should you use?
You have a SQL pool in Azure Synapse that contains a table named dbo.Customers. The table contains a column name Email.
You need to prevent nonadministrative users from seeing the full email addresses in the Email column. The users must see values in a format of aXXX@XXXX.com instead.
What should you do?
From Microsoft SQL Server Management Studio, set an email mask on the Email column. This is because 'This feature cannot be set using portal for Azure Synapse (use PowerShell or REST API) or SQL Managed Instance.' So use Create table statement with Masking e.g. CREATE TABLE Membership (MemberID int IDENTITY PRIMARY KEY, FirstName varchar(100) MASKED WITH (FUNCTION = 'partial(1,'XXXXXXX',0)') NULL, . . https://docs.microsoft.com/en-us/azure/azure-sql/database/dynamic-data-masking-overview
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You have an Azure Synapse Analytics dedicated SQL pool named Pcol1. Pool1 contains a table named tablet
You load 5 TB of data into table1.
You need to ensure that column store compression is maximized for table1.
Which statement should you execute?
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 have an Azure Storage account that contains 100 GB of files. The files contain text and numerical values. 75% of the rows contain description data that has an average length of 1.1 MB.
You plan to copy the data from the storage account to an Azure SQL data warehouse.
You need to prepare the files to ensure that the data copies quickly.
Solution: You modify the files to ensure that each row is less than 1 MB.
Does this meet the goal?
When exporting data into an ORC File Format, you might get Java out-of-memory errors when there are large text columns. To work around this limitation, export only a subset of the columns.
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/guidance-for-loading-data
You have an Azure subscription that contains an Azure Synapse Analytics account. The account is integrated with an Azure Repos repository named Repo1 and contains a pipeline named Pipeline1. Repo1 contains the branches shown in the following table.
From featuredev, you develop and test changes to Pipeline1. You need to publish the changes. What should you do first?
