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  2. Microsoft Certification
  3. DP-300 Exam
  4. Microsoft.DP-300.v2022-04-23.q155 Dumps
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Question 141

You have an Azure SQL Database instance named DatabaseA on a server named Server1.
You plan to add a new user named App1 to DatabaseA and grant App1 db_datacenter permissions. App1 will use SQL Server Authentication.
You need to create App1. The solution must ensure that App1 can be given access to other databases by using the same credentials.
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.

Correct Answer:

1 - On the master database, run CREATE LOGIN [App1] WITH PASSWORD = 'p@aaW0rd!'
2 - On DatabaseA, run CREATE USER [App1] FROM LOGIN [App1]
3 - On DatabaseA run ALTER ROLE db_datareader ADD Member [App1]
Reference:
https://azure.microsoft.com/en-us/blog/adding-users-to-your-sql-azure-database/
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Question 142

You have SQL Server on Azure virtual machines in an availability group.
You have a database named DB1 that is NOT in the availability group.
You create a full database backup of DB1.
You need to add DB1 to the availability group.
Which restore option should you use on the secondary replica?

Correct Answer: B
Prepare a secondary database for an Always On availability group requires two steps:
1. Restore a recent database backup of the primary database and subsequent log backups onto each server instance that hosts the secondary replica, using RESTORE WITH NORECOVERY
2. Join the restored database to the availability group.
Reference:
https://docs.microsoft.com/en-us/sql/database-engine/availability-groups/windows/manually-prepare-asecondary- database-for-an-availability-group-sql-server
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Question 143

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?

Correct Answer: A
If you need to transform data in a way that is not supported by Data Factory, you can create a custom activity with your own data processing logic and use the activity in the pipeline. You can create a custom activity to run R scripts on your HDInsight cluster with R installed.
Reference:
https://docs.microsoft.com/en-US/azure/data-factory/transform-data
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Question 144

You have an Azure SQL database.
You discover that the plan cache is full of compiled plans that were used only once.
You run the select * from sys.database_scoped_configurationsTransact-SQL command and
receive the results shown in the following table.

You need relieve the memory pressure.
What should you configure?

Correct Answer: C
Section: [none]
Explanation:
OPTIMIZE_FOR_AD_HOC_WORKLOADS = { ON | OFF }
Enables or disables a compiled plan stub to be stored in cache when a batch is compiled for the first time. The
default is OFF. Once the database scoped configuration OPTIMIZE_FOR_AD_HOC_WORKLOADS is enabled
for a database, a compiled plan stub will be stored in cache when a batch is compiled for the first time. Plan
stubs have a smaller memory footprint compared to the size of the full compiled plan.
Incorrect Answers:
A: LEGACY_CARDINALITY_ESTIMATION = { ON | OFF | PRIMARY }
Enables you to set the query optimizer cardinality estimation model to the SQL Server 2012 and earlier version
independent of the compatibility level of the database. The default is OFF, which sets the query optimizer
cardinality estimation model based on the compatibility level of the database.
B: QUERY_OPTIMIZER_HOTFIXES = { ON | OFF | PRIMARY }
Enables or disables query optimization hotfixes regardless of the compatibility level of the database. The default
is OFF, which disables query optimization hotfixes that were released after the highest available compatibility
level was introduced for a specific version (post-RTM).
Reference:
https://docs.microsoft.com/en-us/sql/t-sql/statements/alter-database-scoped-configuration-transact-sql
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Question 145

You have an Azure Databricks workspace named workspace1 in the Standard pricing tier. Workspace1 contains an all-purpose cluster named cluster1.
You need to reduce the time it takes for cluster1 to start and scale up. The solution must minimize costs.
What should you do first?

Correct Answer: C
Section: [none]
Explanation:
You can use Databricks Pools to Speed up your Data Pipelines and Scale Clusters Quickly.
Databricks Pools, a managed cache of virtual machine instances that enables clusters to start and scale 4 times faster.
Reference:
https://databricks.com/blog/2019/11/11/databricks-pools-speed-up-data-pipelines.html
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