You have 20 Azure SQL databases provisioned by using the vCore purchasing model.
You plan to create an Azure SQL Database elastic pool and add the 20 databases.
Which three metrics should you use to size the elastic pool to meet the demands of your workload? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
CE: Estimate the vCores needed for the pool as follows:
For vCore-based purchasing model: MAX(<Total number of DBs X average vCore utilization per DB>, <Number of concurrently peaking DBs X Peak vCore utilization per DB)
A: Estimate the storage space needed for the pool by adding the number of bytes needed for all the databases in the pool.
DRAG DROP -
You have SQL Server 2019 on an Azure virtual machine that contains an SSISDB database.
A recent failure causes the master database to be lost.
You discover that all Microsoft SQL Server integration Services (SSIS) packages fail to run on the virtual machine.
Which four actions should you perform in sequence to resolve the issue? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct.
Select and Place:
Step 1: Attach the SSISDB database
Step 2: Turn on the TRUSTWORTHY property and the CLR property
If you are restoring the SSISDB database to an SQL Server instance where the SSISDB catalog was never created, enable common language runtime (clr)
Step 3: Open the master key for the SSISDB database
Restore the master key by this method if you have the original password that was used to create SSISDB. open master key decryption by password = 'LS1Setup!' --'Password used when creating SSISDB'
Alter Master Key Add encryption by Service Master Key
Step 4: Encrypt a copy of the master key by using the service master key
You have an Azure SQL database that contains a table named factSales. FactSales contains the columns shown in the following table.
FactSales has 6 billion rows and is loaded nightly by using a batch process. You must provide the greatest reduction in space for the database and maximize performance.
Which type of compression provides the greatest space reduction for the database?
Columnstore tables and indexes are always stored with columnstore compression. You can further reduce the size of columnstore data by configuring an additional compression called archival compression.
Note: Columnstore ג€" The columnstore index is also logically organized as a table with rows and columns, but the data is physically stored in a column-wise data format.
B: Rowstore ג€" The rowstore index is the traditional style that has been around since the initial release of SQL Server.
For rowstore tables and indexes, use the data compression feature to help reduce the size of the database.
C: Columnstore compression is less compressed compared to columnstore archival compression.
You have a Microsoft SQL Server 2019 database named DB1 that uses the following database-level and instance-level features.
✑ Clustered columnstore indexes
✑ Automatic tuning
✑ Change tracking
You plan to migrate DB1 to an Azure SQL database.
What feature should be removed or replaced before DB1 can be migrated?
This table lists the key features for PolyBase and the products in which they're available.
C: Change tracking is a lightweight solution that provides an efficient change tracking mechanism for applications. It applies to both Azure SQL Database and SQL
D: Azure SQL Database and Azure SQL Managed Instance automatic tuning provides peak performance and stable workloads through continuous performance tuning based on AI and machine learning.
You have a Microsoft SQL Server 2019 instance in an on-premises datacenter. The instance contains a 4-TB database named DB1.
You plan to migrate DB1 to an Azure SQL Database managed instance.
What should you use to minimize downtime and data loss during the migration?
Azure Database Migration Service can do online migrations with minimal downtime.