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Databricks Frenquent Associate-Developer-Apache-Spark-3.5 Update - Latest Associate-Developer-Apache-Spark-3.5 Braindumps Sheet, Valid Associate-Developer-Apache-Spark-3.5 Test Registration - Cads-Group

  • Exam Number/Code : Associate-Developer-Apache-Spark-3.5
  • Exam Name : Databricks Certified Associate Developer for Apache Spark 3.5 - Python
  • Questions and Answers : 260 Q&As
  • Price: $ 99.00 $ 39.00

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NEW QUESTION: 1
You need to create the usp.AssignUser stored procedure.
Develop the solution by selecting and arranging the required code blocks in the correct order. You may not need all of the code blocks.

Answer:
Explanation:

Explanation:
Note:
* From scenario: The mobile application will need to meet the following requirements:
/Communicate with web services that assign a new user to a micropayment by using a stored procedure named usp_AssignUser.
* Example:
create procedure dbo.OrderInsert(@OrdNo integer, @CustCode nvarchar(5)) with native_compilation, schemabinding, execute as owner as begin atomic with (transaction isolation level = snapshot, language = N'English') declare @OrdDate datetime = getdate(); insert into dbo.Ord (OrdNo, CustCode, OrdDate) values (@OrdNo, @CustCode, @OrdDate); end go
* Natively compiled stored procedures are Transact-SQL stored procedures compiled to native code that access memory-optimized tables. Natively compiled stored procedures allow for efficient execution of the queries and business logic in the stored procedure.
* READ COMITTED versus REPEATABLE READ
Read committed is an isolation level that guarantees that any data read was committed at the moment is read. It simply restricts the reader from seeing any intermediate, uncommitted, 'dirty' read. IT makes no promise whatsoever that if the transaction re-issues the read, will find the Same data, data is free to change after it was read.
Repeatable read is a higher isolation level, that in addition to the guarantees of the read committed level, it also guarantees that any data read cannot change, if the transaction reads the same data again, it will find the previously read data in place, unchanged, and available to read.
* Both RAISERROR and THROW statements are used to raise an error in Sql Server.
The journey of RAISERROR started from Sql Server 7.0, where as the journey of THROW statement has just began with Sql Server 2012. obviously, Microsoft suggesting us to start using THROW statement instead of RAISERROR. THROW statement seems to be simple and easy to use than RAISERROR.
* Explicit transactions. The user starts the transaction through an explicit BEGIN TRAN or BEGIN ATOMIC. The transaction is completed following the corresponding COMMIT and ROLLBACK or END (in the case of an atomic block).

NEW QUESTION: 2
Data ONTAP supports 255 Snapshot copies per _____.
A. qtree
B. LUN
C. volume
D. RAID group
Answer: C

NEW QUESTION: 3
What is a characteristic of a Dell EMC NetWorker module backup?
A. Module-specific NetWorker backup command runs on the NetWorker server.
B. API determines what is included in the backup save streams.
C. Backup data always goes through the storage node to the storage device.
D. Block based backups are used for all database backups with NetWorker.
Answer: D

 

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Databricks Frenquent Associate-Developer-Apache-Spark-3.5 Update - Latest Associate-Developer-Apache-Spark-3.5 Braindumps Sheet, Valid Associate-Developer-Apache-Spark-3.5 Test Registration - Cads-Group


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